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Baumann S, Stone RT, Abdelall E. Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges. SENSORS (BASEL, SWITZERLAND) 2024; 24:3977. [PMID: 38931760 PMCID: PMC11207983 DOI: 10.3390/s24123977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 06/10/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024]
Abstract
Telehealth and remote patient monitoring (RPM), in particular, have been through a massive surge of adoption since 2020. This initiative has proven potential for the patient and the healthcare provider in areas such as reductions in the cost of care. While home-use medical devices or wearables have been shown to be beneficial, a literature review illustrates challenges with the data generated, driven by limited device usability. This could lead to inaccurate data when an exam is completed without clinical supervision, with the consequence that incorrect data lead to improper treatment. Upon further analysis of the existing literature, the RPM Usability Impact model is introduced. The goal is to guide researchers and device manufacturers to increase the usability of wearable and home-use medical devices in the future. The importance of this model is highlighted when the user-centered design process is integrated, which is needed to develop these types of devices to provide the proper user experience.
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Affiliation(s)
- Steffen Baumann
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA;
| | - Richard T. Stone
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA;
| | - Esraa Abdelall
- Department of Industrial Engineering, Jordan University of Science and Technology, Ar-Ramtha 3030, Jordan;
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Ahmad Hatib NA, Lee JH, Chong SL, Sng QW, Tan VSR, Ong GYK, Lim AM, Quek BH, How MS, Chan JMF, Saffari SE, Ng KC. A two-phased study on the use of remote photoplethysmography (rPPG) in paediatric care. ANNALS OF TRANSLATIONAL MEDICINE 2024; 12:46. [PMID: 38911566 PMCID: PMC11193567 DOI: 10.21037/atm-23-1896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/10/2024] [Indexed: 06/25/2024]
Abstract
Background Advancements in medical technologies have led to the development of contact-free methods of haemodynamic monitoring such as remote photoplethysmography (rPPG). rPPG uses video cameras to interpret variations in skin colour related to blood flow, which are analysed to generate vital signs readings. rPPG potentially ameliorates problems like fretfulness and fragile skin contact associated with conventional probes in children. While rPPG has been validated in adults, no prior validation has been performed in children. Methods A two-phased prospective cross-sectional single-centre study was conducted from January to April 2023 to evaluate the feasibility, acceptability, and accuracy of obtaining heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2) using rPPG in children, compared to the current standard of care. In Phase 1, we recruited patients ≤16 years from the neonatal and paediatric wards. We excluded preterm neonates with gestational age <35 weeks and newborns <24 hours old. The rPPG webcam was positioned 30 cm from the face. After 1 minute of facial scanning, readings generated were compared with pulse oximetry for HR and SpO2, and manual counting for RR. Correlation and Bland-Altman analyses were performed. In Phase 2, we focused on the population in whom there was potential correlation between rPPG and the actual vital signs. Results Ten neonates and 28 children aged 5 to 16 years were recruited for Phase 1 (765 datapoints). All patients were haemodynamically stable and normothermic. Patients and caregivers showed high acceptability to rPPG. rPPG values were clinically discrepant for children <10 years. For those ≥10 years, moderate correlation was observed for HR, with Spearman's correlation coefficient (Rs) of 0.50 [95% confidence intervals (CI): 0.42, 0.57]. We performed Phase 2 on 23 patients aged 12 to 16 years (559 datapoints). Strong correlation was observed for HR with Rs=0.82 (95% CI: 0.78, 0.85). There was weak correlation for SpO2 and RR (Rs=-0.25 and -0.02, respectively). Conclusions Our study showed that rPPG is acceptable and feasible for neonates and children aged 5 to 16 years, and HR values in older children aged 12 to 16 years correlated well with the current standard. The rPPG algorithms need to be further refined for younger children, and for obtaining RR and SpO2 in all children. If successful, rPPG will provide a viable contact-free alternative for assessing paediatric vital signs, with potential use in remote monitoring and telemedicine.
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Affiliation(s)
- Nur Adila Ahmad Hatib
- General Paediatrics Service, KK Women’s and Children’s Hospital, Singapore, Singapore
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
| | - Jan Hau Lee
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Children’s Intensive Care Unit, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Shu-Ling Chong
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Qian Wen Sng
- Department of Advancing Nursing and Education, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Victoria Shi Rui Tan
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Gene Yong-Kwang Ong
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Alicia May Lim
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Neonatology, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Bin Huey Quek
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Department of Neonatology, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Mee See How
- Special Care Nursery, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Joel Meng Fai Chan
- General Paediatrics Service, KK Women’s and Children’s Hospital, Singapore, Singapore
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
| | - Seyed Ehsan Saffari
- Centre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Kee Chong Ng
- SingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore
- Chief Executive Officer, Changi General Hospital, Singapore, Singapore
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Pan Z, Liao S, Sun W, Zhou H, Lin S, Chen D, Jiang S, Long H, Fan J, Deng F, Zhang W, Chen B, Wang J, Huang Y, Li J, Chen Y. Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study. BMJ Open 2024; 14:e075257. [PMID: 38418236 PMCID: PMC10910414 DOI: 10.1136/bmjopen-2023-075257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 02/12/2024] [Indexed: 03/01/2024] Open
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) and obstructive sleep apnoea (OSA) are prevalent respiratory diseases in China and impose significant burdens on the healthcare system. Moreover, the co-occurrence of COPD and OSA exacerbates clinical outcomes significantly. However, comprehensive epidemiological investigations in China remain scarce, and the defining characteristics of the population affected by COPD and OSA, alongside their intrinsic relationship, remain ambiguous. METHODS AND ANALYSIS We present a protocol for a prospective, multicentre, observational cohort study based on a digital health management platform across three different healthcare tiers in five sites among Chinese patients with COPD. The study aims to establish predicative models to identify OSA among patients with COPD and to predict the prognosis of overlap syndrome (OS) and acute exacerbations of COPD through the Internet of Things (IoT). Moreover, it aims to evaluate the feasibility, effectiveness and cost-effectiveness of IoT in managing chronic diseases within clinical settings. Participants will undergo baseline assessment, physical examination and nocturnal oxygen saturation measuring. Specific questionnaires screening for OSA will also be administered. Diagnostic lung function tests and polysomnography will be performed to confirm COPD and OSA, respectively. All patients will undergo scheduled follow-ups for 12 months to record the changes in symptoms, lung functions and quality of life. Primary outcomes include the prevalence and characteristics of OS, while secondary outcomes encompass OS prognosis and the feasibility of the management model in clinical contexts. A total of 682 patients with COPD will be recruited over 12-24 months. ETHICS AND DISSEMINATION The study has been approved by Peking University Third Hospital, and all study participants will provide written informed consent. Study results will be published in an appropriate journal and presented at national and international conferences, as well as relevant social media and various stakeholder engagement activities. TRIAL REGISTRATION NUMBER NCT04833725.
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Affiliation(s)
- Zihan Pan
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
- General Practice Medicine, Peking University First Hospital, Beijing, China
| | - Sha Liao
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Wanlu Sun
- Department of Pulmonary and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Beijing, China
| | - Haoyi Zhou
- School of Software, Beihang University, Beijing, China
| | - Shuo Lin
- Air Liquide Healthcare (Beijing), Beijing, China
| | - Dian Chen
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Simin Jiang
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Huanyu Long
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Jing Fan
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Baiqi Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Junyi Wang
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Yongwei Huang
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
- Sleep Monitoring Center, Peking University Third Hospital, Beijing, China
| | - Jianxin Li
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Yahong Chen
- Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
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Alnasser S, Alkalthem D, Alenazi S, Alsowinea M, Alanazi N, Al Fagih A. The Reliability of the Apple Watch's Electrocardiogram. Cureus 2023; 15:e49786. [PMID: 38161560 PMCID: PMC10757793 DOI: 10.7759/cureus.49786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 01/03/2024] Open
Abstract
Background An electrocardiogram (ECG) is a standard tool used to detect various cardiovascular abnormalities. Detection sensitivity for atrial fibrillation (AF) was recently shown to be greatly increased by using short, intermittent ECG recordings. Modern mobile ECG recording devices that can monitor patients' heart activities around the clock have made this a reality. The Apple Watch is one of these portable ECG devices that can detect heart rhythms and is approved by the American FDA for screening and detecting AF. Objectives We compared the results of the Apple Watch I lead ECG with conventional ECG results to assess the sensitivity and specificity of the Apple Watch I lead ECG. We then determined the abnormalities that can be detected by the Apple Watch I lead ECG. Methods This study was conducted on outpatient cardiac clinics at King Abdullah bin Abdulaziz University Hospital (KAAUH), and Prince Sultan Cardiac Center (PSCC), from May to October 2021. A standard 12-lead ECG was recorded and compared with the Apple Watch I lead ECG. A total of 469 ECG comparisons were included in this study and evaluated by two investigators. The data on patient demographics, medical and medication history, and ECG data were reviewed and analyzed using IBM SPSS Statistics for Windows, Version 23 (Released 2015; IBM Corp., Armonk, New York, United States). Results No significant differences were seen between the Apple Watch and the 12-lead ECG in terms of the studied ECG characteristics. A significant and strong positive correlation between the heart rate measurements in the 12-lead ECG and Apple Watch ECG was documented. The most commonly found abnormalities in the Apple Watch ECG were AF in 37 (7.9%), followed by first-degree atrioventricular (AV) block in 32 (6.8%). The sensitivity of Apple Watch's automated interpretation to detect an AF was 99.54%, while the manual interpretation yielded a sensitivity of 100%. Conclusion The results of this study demonstrated a robust relationship between the 12-lead ECG and Apple Watch ECG in the diagnosis of arrhythmias. Consequently, cardiac patients may consider the Apple Watch ECG a trustworthy remote monitoring technique.
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Affiliation(s)
- Sara Alnasser
- Clinical Sciences, Princess Noura Bint Abdulrahman University, Riyadh, SAU
| | - Dalal Alkalthem
- Clinical Sciences, Princess Noura Bint Abdulrahman University, Riyadh, SAU
| | - Sara Alenazi
- Clinical Sciences, Princess Noura Bint Abdulrahman University, Riyadh, SAU
| | - Muneera Alsowinea
- Clinical Sciences, Princess Noura Bint Abdulrahman University, Riyadh, SAU
| | - Narin Alanazi
- Clinical Sciences, Princess Noura Bint Abdulrahman University, Riyadh, SAU
| | - Ahmed Al Fagih
- Cardiology, Prince Sultan Military Medical City, Riyadh, SAU
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John P, Vasa NJ, Zam A. Optical Biosensors for the Diagnosis of COVID-19 and Other Viruses-A Review. Diagnostics (Basel) 2023; 13:2418. [PMID: 37510162 PMCID: PMC10378272 DOI: 10.3390/diagnostics13142418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The sudden outbreak of the COVID-19 pandemic led to a huge concern globally because of the astounding increase in mortality rates worldwide. The medical imaging computed tomography technique, whole-genome sequencing, and electron microscopy are the methods generally used for the screening and identification of the SARS-CoV-2 virus. The main aim of this review is to emphasize the capabilities of various optical techniques to facilitate not only the timely and effective diagnosis of the virus but also to apply its potential toward therapy in the field of virology. This review paper categorizes the potential optical biosensors into the three main categories, spectroscopic-, nanomaterial-, and interferometry-based approaches, used for detecting various types of viruses, including SARS-CoV-2. Various classifications of spectroscopic techniques such as Raman spectroscopy, near-infrared spectroscopy, and fluorescence spectroscopy are discussed in the first part. The second aspect highlights advances related to nanomaterial-based optical biosensors, while the third part describes various optical interferometric biosensors used for the detection of viruses. The tremendous progress made by lab-on-a-chip technology in conjunction with smartphones for improving the point-of-care and portability features of the optical biosensors is also discussed. Finally, the review discusses the emergence of artificial intelligence and its applications in the field of bio-photonics and medical imaging for the diagnosis of COVID-19. The review concludes by providing insights into the future perspectives of optical techniques in the effective diagnosis of viruses.
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Affiliation(s)
- Pauline John
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
| | - Nilesh J Vasa
- Department of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India
| | - Azhar Zam
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
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Abir FF, Chowdhury MEH, Tapotee MI, Mushtak A, Khandakar A, Mahmud S, Hasan MA. PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023; 122:106130. [PMID: 37006447 PMCID: PMC10047244 DOI: 10.1016/j.engappai.2023.106130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/20/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
The world is slowly recovering from the Coronavirus disease 2019 (COVID-19) pandemic; however, humanity has experienced one of its According to work by Mishra et al. (2020), the study's first phase included a cohort of 5,262 subjects, with 3,325 Fitbit users constituting the majority. However, among this large cohort of 5,262 subjects, most significant trials in modern times only to learn about its lack of preparedness in the face of a highly contagious pathogen. To better prepare the world for any new mutation of the same pathogen or the newer ones, technological development in the healthcare system is a must. Hence, in this work, PCovNet+, a deep learning framework, was proposed for smartwatches and fitness trackers to monitor the user's Resting Heart Rate (RHR) for the infection-induced anomaly. A convolutional neural network (CNN)-based variational autoencoder (VAE) architecture was used as the primary model along with a long short-term memory (LSTM) network to create latent space embeddings for the VAE. Moreover, the framework employed pre-training using normal data from healthy subjects to circumvent the data shortage problem in the personalized models. This framework was validated on a dataset of 68 COVID-19-infected subjects, resulting in anomalous RHR detection with precision, recall, F-beta, and F-1 score of 0.993, 0.534, 0.9849, and 0.6932, respectively, which is a significant improvement compared to the literature. Furthermore, the PCovNet+ framework successfully detected COVID-19 infection for 74% of the subjects (47% presymptomatic and 27% post-symptomatic detection). The results prove the usability of such a system as a secondary diagnostic tool enabling continuous health monitoring and contact tracing.
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Affiliation(s)
- Farhan Fuad Abir
- Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, United States
| | | | - Malisha Islam Tapotee
- Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka 1000, Bangladesh
| | - Adam Mushtak
- Clinical Imaging Department, Hamad Medical Corporation, Doha, Qatar
| | - Amith Khandakar
- Department of Electrical Engineering, Qatar University, Doha 2713, Qatar
| | - Sakib Mahmud
- Department of Electrical Engineering, Qatar University, Doha 2713, Qatar
| | - Md Anwarul Hasan
- Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar
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Merchant SA, Nadkarni P, Shaikh MJS. Augmentation of literature review of COVID-19 radiology. World J Radiol 2022; 14:342-351. [PMID: 36186515 PMCID: PMC9521431 DOI: 10.4329/wjr.v14.i9.342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/26/2022] [Accepted: 08/21/2022] [Indexed: 02/08/2023] Open
Abstract
We suggest an augmentation of the excellent comprehensive review article titled “Comprehensive literature review on the radiographic findings, imaging modalities, and the role of radiology in the coronavirus disease 2019 (COVID-19) pandemic” under the following categories: (1) “Inclusion of additional radiological features, related to pulmonary infarcts and to COVID-19 pneumonia”; (2) “Amplified discussion of cardiovascular COVID-19 manifestations and the role of cardiac magnetic resonance imaging in monitoring and prognosis”; (3) “Imaging findings related to fluorodeoxyglucose positron emission tomography, optical, thermal and other imaging modalities/devices, including ‘intelligent edge’ and other remote monitoring devices”; (4) “Artificial intelligence in COVID-19 imaging”; (5) “Additional annotations to the radiological images in the manuscript to illustrate the additional signs discussed”; and (6) “A minor correction to a passage on pulmonary destruction”.
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Affiliation(s)
| | - Prakash Nadkarni
- College of Nursing, University of Iowa, Iowa City, IA 52242, United States
| | - Mohd Javed Saifullah Shaikh
- Department of Radiology, North Bengal Neuro Centre - Jupiter MRI & Diagnostic Centre, Siliguri 734003, West Bengal, India
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Gomez Palacios LR, Bracamonte AG. Development of nano- and microdevices for the next generation of biotechnology, wearables and miniaturized instrumentation. RSC Adv 2022; 12:12806-12822. [PMID: 35496334 PMCID: PMC9047444 DOI: 10.1039/d2ra02008d] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 04/15/2022] [Indexed: 12/27/2022] Open
Abstract
This is a short communication based on recent high-impact publications related to how various chemical materials and substrate modifications could be tuned for nano- and microdevices, where their application for high point-of-care bioanalysis and further applications in life science is discussed. Hence, they have allowed different high-impact research topics in a variety of fields, from the control of nanoscale to functional microarchitectures embedded in various support materials to obtain a device for a given application or use. Thus, their incorporation in standard instrumentation is shown, as well as in new optical setups to record different classical and non-classical light, signaling, and energy modes at a variety of wavelengths and energy levels. Moreover, the development of miniaturized instrumentation was also contemplated. In order to develop these different levels of technology, the chemistry, physics and engineering of materials were discussed. In this manner, a number of subjects that allowed the design and manufacture of devices could be found. The following could be mentioned by way of example: (i) nanophotonics; (ii) design, synthesis and tuning of advanced nanomaterials; (iii) classical and non-classical light generation within the near field; (iv) microfluidics and nanofluidics; (v) signal waveguiding; (vi) quantum-, nano- and microcircuits; (vii) materials for nano- and microplatforms, and support substrates and their respective modifications for targeted functionalities. Moreover, nano-optics in in-flow devices and chips for biosensing were discussed, and perspectives on biosensing and single molecule detection (SMD) applications. In this perspective, new insights about precision nanomedicine based on genomics and drug delivery systems were obtained, incorporating new advanced diagnosis methods based on lab-on-particles, labs-on-a-chip, gene therapies, implantable devices, portable miniaturized instrumentation, single molecule detection for biophotonics, and neurophotonics. In this manner, this communication intends to highlight recent reports and developments of nano- and microdevices and further approaches towards the incorporation of developments in nanophotonics and biophotonics in the design of new materials based on different strategies and enhanced techniques and methods. Recent proofs of concept are discussed that could allow new substrates for device manufacturing. Thus, physical phenomena and materials chemistry with accurate control within the nanoscale were introduced into the discussion. In this manner, new potential sources of ideas and strategies for the next generation of technology in many research and development fields are showcased. This is a short communication based on recent high-impact publications related to how various chemical materials and substrate modifications could be tuned for nano- and microdevices, where their application for high point-of-care bioanalysis and further applications in life science is discussed.![]()
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Affiliation(s)
- Luna R Gomez Palacios
- Instituto de Investigaciones en Físico Química de Córdoba (INFIQC), Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba (UNC) Ciudad Universitaria 5000 Córdoba Argentina
| | - A Guillermo Bracamonte
- Instituto de Investigaciones en Físico Química de Córdoba (INFIQC), Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba (UNC) Ciudad Universitaria 5000 Córdoba Argentina .,Department of Chemistry, University of Victoria (UVic) Vancouver Island V8W 2Y2 British Columbia (BC) Canada.,Département de chimie and Centre d'optique, photonique et laser (COPL), Université Laval Québec (QC) G1V 0A6 Canada
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Sampson DM, Dubis AM, Chen FK, Zawadzki RJ, Sampson DD. Towards standardizing retinal optical coherence tomography angiography: a review. LIGHT, SCIENCE & APPLICATIONS 2022; 11:63. [PMID: 35304441 PMCID: PMC8933532 DOI: 10.1038/s41377-022-00740-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 02/01/2022] [Accepted: 02/14/2022] [Indexed: 05/11/2023]
Abstract
The visualization and assessment of retinal microvasculature are important in the study, diagnosis, monitoring, and guidance of treatment of ocular and systemic diseases. With the introduction of optical coherence tomography angiography (OCTA), it has become possible to visualize the retinal microvasculature volumetrically and without a contrast agent. Many lab-based and commercial clinical instruments, imaging protocols and data analysis methods and metrics, have been applied, often inconsistently, resulting in a confusing picture that represents a major barrier to progress in applying OCTA to reduce the burden of disease. Open data and software sharing, and cross-comparison and pooling of data from different studies are rare. These inabilities have impeded building the large databases of annotated OCTA images of healthy and diseased retinas that are necessary to study and define characteristics of specific conditions. This paper addresses the steps needed to standardize OCTA imaging of the human retina to address these limitations. Through review of the OCTA literature, we identify issues and inconsistencies and propose minimum standards for imaging protocols, data analysis methods, metrics, reporting of findings, and clinical practice and, where this is not possible, we identify areas that require further investigation. We hope that this paper will encourage the unification of imaging protocols in OCTA, promote transparency in the process of data collection, analysis, and reporting, and facilitate increasing the impact of OCTA on retinal healthcare delivery and life science investigations.
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Affiliation(s)
- Danuta M Sampson
- Surrey Biophotonics, Centre for Vision, Speech and Signal Processing and School of Biosciences and Medicine, The University of Surrey, Guildford, GU2 7XH, UK.
| | - Adam M Dubis
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Trust and UCL Institute of Ophthalmology, London, EC1V 2PD, UK
| | - Fred K Chen
- Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), The University of Western Australia, Nedlands, Western Australia, 6009, Australia
- Department of Ophthalmology, Royal Perth Hospital, Perth, Western Australia, 6000, Australia
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Victoria, 3002, Australia
| | - Robert J Zawadzki
- Department of Ophthalmology & Vision Science, University of California Davis, Sacramento, CA, 95817, USA
| | - David D Sampson
- Surrey Biophotonics, Advanced Technology Institute, School of Physics and School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, GU2 7XH, UK
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Wood SM, Pickel J, Phillips AW, Baber K, Chuo J, Maleki P, Faust HL, Petsis D, Apple DE, Dowshen N, Schwartz LA. Acceptability, Feasibility, and Quality of Telehealth for Adolescent Health Care Delivery During the COVID-19 Pandemic: Cross-sectional Study of Patient and Family Experiences. JMIR Pediatr Parent 2021; 4:e32708. [PMID: 34779782 PMCID: PMC8594732 DOI: 10.2196/32708] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/27/2021] [Accepted: 10/06/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Data regarding the acceptability, feasibility, and quality of telehealth among adolescents and young adults (AYA) and their parents and caregivers (caregivers) are lacking. OBJECTIVE The aim of this study was to assess the noninferiority of telehealth versus in-person visits by comparing acceptability with respect to efficiency, effectiveness, equity, patient-centeredness, and confidentiality. METHODS Cross-sectional web-based surveys were sent to caregivers and AYA following video visits within an Adolescent Medicine subspecialty clinic in May-July 2020. Proportions of AYA and caregivers who rated telehealth as noninferior were compared using chi-squared tests. Feasibility was assessed via items measuring technical difficulties. Deductive thematic analysis using the Institute of Medicine dimensions of health care quality was used to code open-ended question responses. RESULTS Survey response rates were 20.5% (55/268) for AYA and 21.8% (123/563) for caregivers. The majority of the respondents were White cisgender females. Most AYA and caregivers rated telehealth as noninferior to in-person visits with respect to confidentiality, communication, medication management, and mental health care. A higher proportion of AYA compared to caregivers found telehealth inferior with respect to confidentiality (11/51, 22% vs 3/118, 2.5%, P<.001). One-quarter (14/55) of the AYA patients and 31.7% (39/123) of the caregivers reported technical difficulties. The dominant themes in the qualitative data included advantages of telehealth for efficiency and equity of health care delivery. However, respondents' concerns included reduced safety and effectiveness of care, particularly for patients with eating disorders, owing to lack of hands-on examinations, collection of vital signs, and laboratory testing. CONCLUSIONS Telehealth was highly acceptable among AYA and caregivers. Future optimization should include improving privacy, ameliorating technical difficulties, and standardizing at-home methods of obtaining patient data to assure patient safety.
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Affiliation(s)
- Sarah M Wood
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Julia Pickel
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Alexis W Phillips
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Kari Baber
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - John Chuo
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Pegah Maleki
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Haley L Faust
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Danielle Petsis
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Danielle E Apple
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Nadia Dowshen
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States
| | - Lisa A Schwartz
- Division of Adolescent Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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11
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van den Brink W, Bloem R, Ananth A, Kanagasabapathi T, Amelink A, Bouwman J, Gelinck G, van Veen S, Boorsma A, Wopereis S. Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention. Front Digit Health 2021; 2:614670. [PMID: 34713076 PMCID: PMC8521930 DOI: 10.3389/fdgth.2020.614670] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/09/2020] [Indexed: 12/26/2022] Open
Abstract
Health maintenance and disease prevention strategies become increasingly prioritized with increasing health and economic burden of chronic, lifestyle-related diseases. A key element in these strategies is the empowerment of individuals to control their health. Self-measurement plays an essential role in achieving such empowerment. Digital measurements have the advantage of being measured non-invasively, passively, continuously, and in a real-world context. An important question is whether such measurement can sensitively measure subtle disbalances in the progression toward disease, as well as the subtle effects of, for example, nutritional improvement. The concept of resilience biomarkers, defined as the dynamic evaluation of the biological response to an external challenge, has been identified as a viable strategy to measure these subtle effects. In this review, we explore the potential of integrating this concept with digital physiological measurements to come to digital resilience biomarkers. Additionally, we discuss the potential of wearable, non-invasive, and continuous measurement of molecular biomarkers. These types of innovative measurements may, in the future, also serve as a digital resilience biomarker to provide even more insight into the personal biological dynamics of an individual. Altogether, digital resilience biomarkers are envisioned to allow for the measurement of subtle effects of health maintenance and disease prevention strategies in a real-world context and thereby give personalized feedback to improve health.
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Affiliation(s)
- Willem van den Brink
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Robbert Bloem
- Department of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands
| | - Adithya Ananth
- Department of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands
| | - Thiru Kanagasabapathi
- Holst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands
| | - Arjen Amelink
- Department of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands
| | - Jildau Bouwman
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Gerwin Gelinck
- Holst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands
| | - Sjaak van Veen
- Department of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands
| | - Andre Boorsma
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands
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12
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Hunt B, Ruiz AJ, Pogue BW. Smartphone-based imaging systems for medical applications: a critical review. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200421VR. [PMID: 33860648 PMCID: PMC8047775 DOI: 10.1117/1.jbo.26.4.040902] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 03/29/2021] [Indexed: 05/15/2023]
Abstract
SIGNIFICANCE Smartphones come with an enormous array of functionality and are being more widely utilized with specialized attachments in a range of healthcare applications. A review of key developments and uses, with an assessment of strengths/limitations in various clinical workflows, was completed. AIM Our review studies how smartphone-based imaging (SBI) systems are designed and tested for specialized applications in medicine and healthcare. An evaluation of current research studies is used to provide guidelines for improving the impact of these research advances. APPROACH First, the established and emerging smartphone capabilities that can be leveraged for biomedical imaging are detailed. Then, methods and materials for fabrication of optical, mechanical, and electrical interface components are summarized. Recent systems were categorized into four groups based on their intended application and clinical workflow: ex vivo diagnostic, in vivo diagnostic, monitoring, and treatment guidance. Lastly, strengths and limitations of current SBI systems within these various applications are discussed. RESULTS The native smartphone capabilities for biomedical imaging applications include cameras, touchscreens, networking, computation, 3D sensing, audio, and motion, in addition to commercial wearable peripheral devices. Through user-centered design of custom hardware and software interfaces, these capabilities have the potential to enable portable, easy-to-use, point-of-care biomedical imaging systems. However, due to barriers in programming of custom software and on-board image analysis pipelines, many research prototypes fail to achieve a prospective clinical evaluation as intended. Effective clinical use cases appear to be those in which handheld, noninvasive image guidance is needed and accommodated by the clinical workflow. Handheld systems for in vivo, multispectral, and quantitative fluorescence imaging are a promising development for diagnostic and treatment guidance applications. CONCLUSIONS A holistic assessment of SBI systems must include interpretation of their value for intended clinical settings and how their implementations enable better workflow. A set of six guidelines are proposed to evaluate appropriateness of smartphone utilization in terms of clinical context, completeness, compactness, connectivity, cost, and claims. Ongoing work should prioritize realistic clinical assessments with quantitative and qualitative comparison to non-smartphone systems to clearly demonstrate the value of smartphone-based systems. Improved hardware design to accommodate the rapidly changing smartphone ecosystem, creation of open-source image acquisition and analysis pipelines, and adoption of robust calibration techniques to address phone-to-phone variability are three high priority areas to move SBI research forward.
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Affiliation(s)
- Brady Hunt
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
- Address all correspondence to Brady Hunt,
| | - Alberto J. Ruiz
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
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13
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Matsumoto ME, Wilske GC, Tapia R. Innovative Approaches to Delivering Telehealth. Phys Med Rehabil Clin N Am 2021; 32:451-465. [PMID: 33814069 DOI: 10.1016/j.pmr.2020.12.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Mary E Matsumoto
- Department of Physical Medicine and Rehabilitation, Minneapolis VA Health Care System, 1 Veterans Drive, Mail Stop 117, Minneapolis, MN 55417, USA; Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA.
| | - Grace C Wilske
- Department of Physical Medicine and Rehabilitation, Minneapolis VA Health Care System, 1 Veterans Drive, Mail Stop 117, Minneapolis, MN 55417, USA
| | - Rebecca Tapia
- South Texas Veterans Healthcare System, 7400 Merton Minter Boulevard, San Antonio, TX 78229, USA; Department of Rehabilitation Medicine, UT Health San Antonio, San Antonio, TX, USA
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