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Farzin MA, Naghib SM, Rabiee N. Advancements in Bio-inspired Self-Powered Wireless Sensors: Materials, Mechanisms, and Biomedical Applications. ACS Biomater Sci Eng 2024; 10:1262-1301. [PMID: 38376103 DOI: 10.1021/acsbiomaterials.3c01633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
The rapid maturation of smart city ecosystems is intimately linked to advances in the Internet of Things (IoT) and self-powered sensing technologies. Central to this evolution are battery-less sensors that are critical for applications such as continuous health monitoring through blood metabolites and vital signs, the recognition of human activity for behavioral analysis, and the operational enhancement of humanoid robots. The focus on biosensors that exploit the human body for energy-spanning wearable, attachable, and implantable variants has intensified, driven by their broad applicability in areas from underwater exploration to biomedical assays and earthquake monitoring. The heart of these sensors lies in their diverse energy harvesting mechanisms, including biofuel cells, and piezoelectric, triboelectric, and pyroelectric nanogenerators. Notwithstanding the wealth of research, the literature still lacks a holistic review that integrates the design challenges and implementation intricacies of such sensors. Our review seeks to fill this gap by thoroughly evaluating energy harvesting strategies from both material and structural perspectives and assessing their roles in powering an array of sensors for myriad uses. This exploration offers a comprehensive outlook on the state of self-powered sensing devices, tackling the nuances of their deployment and highlighting their potential to revolutionize data gathering in autonomous systems. The intent of this review is to chart the current landscape and future prospects, providing a pivotal reference point for ongoing research and innovation in self-powered wireless sensing technologies.
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Affiliation(s)
- Mohammad Ali Farzin
- Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology, P.O. Box 16846-13114, Tehran 13114-16846, Iran
| | - Seyed Morteza Naghib
- Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology, P.O. Box 16846-13114, Tehran 13114-16846, Iran
| | - Navid Rabiee
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA 6150, Australia
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2
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Boobphahom S, Rodthongkum N. Graphene oxide-alginate hydrogel-based indicator displacement assay integrated with diaper for non-invasive Alzheimer's disease screening. Int J Biol Macromol 2023; 253:126316. [PMID: 37633552 DOI: 10.1016/j.ijbiomac.2023.126316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/09/2023] [Accepted: 08/11/2023] [Indexed: 08/28/2023]
Abstract
Pyrocatechol violet/copper ion-graphene oxide/alginate (PV/Cu2+-GO/Alg) hydrogel was fabricated and applied as a colorimetric sensor for monitoring urinary cysteine via an indicator-displacement assay (IDA) and Cu2+-cysteine affinity pair. The hydrogel-based sensor was formed by Ca2+ cations cross-linked PV/Cu2+-GO/Alg. The morphologies of hydrogel were characterized by field-emission scanning electron microscopy with energy-dispersive X-ray spectroscopy and Fourier-transform Raman spectroscopy. Incorporating GO into the hydrogel improved its uniformity of porosity, large surface area, and compressive strength, leading to amplified colorimetric signals of the hydrogel sensor. Under optimal conditions, this sensor offered a linear range of 0.0-0.5 g/L with a detection limit of 0.05 g/L for cysteine without interfering effects in urine. Furthermore, this hydrogel-based sensor was applied for urinary cysteine detection and validated with laser desorption ionization mass spectrometry. This platform could be used to determine cysteine at its cutoff (0.25 g/L) in human urine, which was distinguishable between normal and abnormal individuals, to evaluate an early stage of Alzheimer's disease. Eventually, this system was integrated with diapers for a wearable cysteine sensor.
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Affiliation(s)
- Siraprapa Boobphahom
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Patumwan, Bangkok 10330, Thailand; Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand
| | - Nadnudda Rodthongkum
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Patumwan, Bangkok 10330, Thailand; Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Bangkok 10330, Thailand.
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3
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Kumar S, Singh H, Feder-Kubis J, Nguyen DD. Recent advances in nanobiosensors for sustainable healthcare applications: A systematic literature review. ENVIRONMENTAL RESEARCH 2023; 238:117177. [PMID: 37751831 DOI: 10.1016/j.envres.2023.117177] [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: 03/30/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/28/2023]
Abstract
The need for novel healthcare treatments and drugs has increased due to the expanding human population, detection of newer diseases, and looming pandemics. The development of nanotechnology offers a platform for cutting-edge in vivo non-invasive monitoring and point-of-care-testing (POCT) for rehabilitative disease detection and management. The advancement and uses of nanobiosensors are currently becoming more common in a variety of scientific fields, such as environmental monitoring, food safety, biomedical, clinical, and sustainable healthcare sciences, since the advent of nanotechnology. The identification and detection of biological patterns connected to any type of disease (communicable or not) have been made possible in recent years by several sensing techniques utilizing nanotechnology concerning biosensors and nanobiosensors. In this work, 2218 articles are drawn and screened from six digital databases out of which 17 were shortlisted for this review by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique. As a result, this study uses a systematic methodology to review some recently developed extremely sensitive nanobiosensors, along with their biomedical, point-of-care diagnostics (POCD), or healthcare applications and their capabilities, particularly for the prediction of some fatal diseases based on a few of the most recent publications. The potential of nanobiosensors for medicinal, therapeutic, or other sustainable healthcare applications, notably for ailments diagnostics, is also recognized as a way forward in the manifestation of future trends.
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Affiliation(s)
- Sunil Kumar
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India
| | - Harbinder Singh
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India.
| | - Joanna Feder-Kubis
- Faculty of Chemistry, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
| | - D Duc Nguyen
- Department of Civil & Energy System Engineering, Kyonggi University, Suwon 16227, South Korea
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Ali A, Ashfaq M, Qureshi A, Muzammil U, Shaukat H, Ali S, Altabey WA, Noori M, Kouritem SA. Smart Detecting and Versatile Wearable Electrical Sensing Mediums for Healthcare. SENSORS (BASEL, SWITZERLAND) 2023; 23:6586. [PMID: 37514879 PMCID: PMC10384670 DOI: 10.3390/s23146586] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/16/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
A rapidly expanding global population and a sizeable portion of it that is aging are the main causes of the significant increase in healthcare costs. Healthcare in terms of monitoring systems is undergoing radical changes, making it possible to gauge or monitor the health conditions of people constantly, while also removing some minor possibilities of going to the hospital. The development of automated devices that are either attached to organs or the skin, continually monitoring human activity, has been made feasible by advancements in sensor technologies, embedded systems, wireless communication technologies, nanotechnologies, and miniaturization being ultra-thin, lightweight, highly flexible, and stretchable. Wearable sensors track physiological signs together with other symptoms such as respiration, pulse, and gait pattern, etc., to spot unusual or unexpected events. Help may therefore be provided when it is required. In this study, wearable sensor-based activity-monitoring systems for people are reviewed, along with the problems that need to be overcome. In this review, we have shown smart detecting and versatile wearable electrical sensing mediums in healthcare. We have compiled piezoelectric-, electrostatic-, and thermoelectric-based wearable sensors and their working mechanisms, along with their principles, while keeping in view the different medical and healthcare conditions and a discussion on the application of these biosensors in human health. A comparison is also made between the three types of wearable energy-harvesting sensors: piezoelectric-, electrostatic-, and thermoelectric-based on their output performance. Finally, we provide a future outlook on the current challenges and opportunities.
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Affiliation(s)
- Ahsan Ali
- Department of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan
| | - Muaz Ashfaq
- Department of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan
| | - Aleen Qureshi
- Department of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan
| | - Umar Muzammil
- Department of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan
| | - Hamna Shaukat
- Department of Chemical and Energy Engineering, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Mang 22621, Pakistan
| | - Shaukat Ali
- Department of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan
| | - Wael A Altabey
- International Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing 210096, China
- Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
| | - Mohammad Noori
- Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA
- School of Civil Engineering, University of Leeds, Leeds LS2 9JT, UK
| | - Sallam A Kouritem
- Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
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5
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Fatima N, Karimov KS, Jamaludin FA, Ahmad Z. Fabrication and Investigation of Graphite-Flake-Composite-Based Non-Invasive Flex Multi-Functional Force, Acceleration, and Thermal Sensor. MICROMACHINES 2023; 14:1358. [PMID: 37512668 PMCID: PMC10384212 DOI: 10.3390/mi14071358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
This work examines the physics of a non-invasive multi-functional elastic thin-film graphite flake-isoprene sulfone composite sensor. The strain design and electrical characterization of the stretching force, acceleration, and temperature were performed. The rub-in technique was used to fabricate graphite flakes and isoprene sulfone into sensors, which were then analyzed for their morphology using methods such as SEM, AFM, X-ray diffraction, and Fourier transform infrared spectroscopy to examine the device's surface and structure. Sensor impedance was measured from DC to 200 kHz at up to 20 gf, 20 m/s2, and 26-60 °C. Sensor resistance and impedance to stretching force and acceleration at DC and 200 Hz rose 2.4- and 2.6-fold and 2.01- and 2.06-fold, respectively. Temperature-measuring devices demonstrated 2.65- and 2.8-fold decreases in resistance and impedance at DC and 200 kHz, respectively. First, altering the graphite flake composite particle spacing may modify electronic parameters in the suggested multi-functional sensors under stress and acceleration. Second, the temperature impacts particle and isoprene sulfone properties. Due to their fabrication using an inexpensive deposition technique, these devices are environmentally friendly, are simple to build, and may be used in university research in international poverty-line nations. In scientific laboratories, such devices can be used to teach students how various materials respond to varying environmental circumstances. They may also monitor individuals undergoing physiotherapy and vibrating surfaces in a controlled setting to prevent public health risks.
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Affiliation(s)
- Noshin Fatima
- Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
| | - Khasan S Karimov
- Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
- Center for Innovative Development of Science and Technologies of Academy of Sciences, Dushanbe 734025, Tajikistan
| | - Farah Adilah Jamaludin
- Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
| | - Zubair Ahmad
- Qatar University Young Scientists Center (QUYSC), Qatar University, Doha 2713, Qatar
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6
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Song Z, Zhou S, Qin Y, Xia X, Sun Y, Han G, Shu T, Hu L, Zhang Q. Flexible and Wearable Biosensors for Monitoring Health Conditions. BIOSENSORS 2023; 13:630. [PMID: 37366995 DOI: 10.3390/bios13060630] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/22/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Flexible and wearable biosensors have received tremendous attention over the past decade owing to their great potential applications in the field of health and medicine. Wearable biosensors serve as an ideal platform for real-time and continuous health monitoring, which exhibit unique properties such as self-powered, lightweight, low cost, high flexibility, detection convenience, and great conformability. This review introduces the recent research progress in wearable biosensors. First of all, the biological fluids often detected by wearable biosensors are proposed. Then, the existing micro-nanofabrication technologies and basic characteristics of wearable biosensors are summarized. Then, their application manners and information processing are also highlighted in the paper. Massive cutting-edge research examples are introduced such as wearable physiological pressure sensors, wearable sweat sensors, and wearable self-powered biosensors. As a significant content, the detection mechanism of these sensors was detailed with examples to help readers understand this area. Finally, the current challenges and future perspectives are proposed to push this research area forward and expand practical applications in the future.
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Affiliation(s)
- Zhimin Song
- Department of Anesthesiology, The Second Hospital of Jilin University, Changchun 130041, China
| | - Shu Zhou
- Department of Anesthesiology, Jilin Cancer Hospital, Changchun 130021, China
| | - Yanxia Qin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Xiangjiao Xia
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Yanping Sun
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Guanghong Han
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Tong Shu
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Liang Hu
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
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7
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Popescu M, Ungureanu C. Green Nanomaterials for Smart Textiles Dedicated to Environmental and Biomedical Applications. MATERIALS (BASEL, SWITZERLAND) 2023; 16:ma16114075. [PMID: 37297209 DOI: 10.3390/ma16114075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/27/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
Smart textiles recently reaped significant attention owing to their potential applications in various fields, such as environmental and biomedical monitoring. Integrating green nanomaterials into smart textiles can enhance their functionality and sustainability. This review will outline recent advancements in smart textiles incorporating green nanomaterials for environmental and biomedical applications. The article highlights green nanomaterials' synthesis, characterization, and applications in smart textile development. We discuss the challenges and limitations of using green nanomaterials in smart textiles and future perspectives for developing environmentally friendly and biocompatible smart textiles.
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Affiliation(s)
- Melania Popescu
- National Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae Street, 077190 Bucharest, Romania
| | - Camelia Ungureanu
- General Chemistry Department, University "Politehnica" of Bucharest, Gheorghe Polizu Street, 1-7, 011061 Bucharest, Romania
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8
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Levin A, Gong S, Cheng W. Wearable Smart Bandage-Based Bio-Sensors. BIOSENSORS 2023; 13:bios13040462. [PMID: 37185537 PMCID: PMC10136806 DOI: 10.3390/bios13040462] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 05/17/2023]
Abstract
Bandage is a well-established industry, whereas wearable electronics is an emerging industry. This review presents the bandage as the base of wearable bioelectronics. It begins with introducing a detailed background to bandages and the development of bandage-based smart sensors, which is followed by a sequential discussion of the technical characteristics of the existing bandages, a more practical methodology for future applications, and manufacturing processes of bandage-based wearable biosensors. The review then elaborates on the advantages of basing the next generation of wearables, such as acceptance by the customers and system approvals, and disposal.
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Affiliation(s)
- Arie Levin
- Department of Chemical & Biological Engineering, Faculty of Engineering, Monash University, Clayton, VIC 3168, Australia
| | - Shu Gong
- Department of Chemical & Biological Engineering, Faculty of Engineering, Monash University, Clayton, VIC 3168, Australia
| | - Wenlong Cheng
- Department of Chemical & Biological Engineering, Faculty of Engineering, Monash University, Clayton, VIC 3168, Australia
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Rêgo AS, Filipe L, Dias RA, Alves FS, Queiroz J, Ainla A, Arruda LM, Fangueiro R, Bouçanova M, Bernardes RA, de Sousa LB, Santos-Costa P, Apóstolo JA, Parreira P, Salgueiro-Oliveira A. End-User Assessment of an Innovative Clothing-Based Sensor Developed for Pressure Injury Prevention: A Mixed-Method Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20054039. [PMID: 36901051 PMCID: PMC10001934 DOI: 10.3390/ijerph20054039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/19/2023] [Accepted: 02/22/2023] [Indexed: 06/01/2023]
Abstract
This study aimed to evaluate a clothing prototype that incorporates sensors for the evaluation of pressure, temperature, and humidity for the prevention of pressure injuries, namely regarding physical and comfort requirements. A mixed-method approach was used with concurrent quantitative and qualitative data triangulation. A structured questionnaire was applied before a focus group of experts to evaluate the sensor prototypes. Data were analyzed using descriptive and inferential statistics and the discourse of the collective subject, followed by method integration and meta-inferences. Nine nurses, experts in this topic, aged 32.66 ± 6.28 years and with a time of profession of 10.88 ± 6.19 years, participated in the study. Prototype A presented low evaluation in stiffness (1.56 ± 1.01) and roughness (2.11 ± 1.17). Prototype B showed smaller values in dimension (2.77 ± 0.83) and stiffness (3.00 ± 1.22). Embroidery was assessed as inadequate in terms of stiffness (1.88 ± 1.05) and roughness (2.44 ± 1.01). The results from the questionnaires and focus groups' show low adequacy as to stiffness, roughness, and comfort. The participants highlighted the need for improvements regarding stiffness and comfort, suggesting new proposals for the development of sensors for clothing. The main conclusions are that Prototype A presented the lowest average scores relative to rigidity (1.56 ± 1.01), considered inadequate. This dimension of Prototype B was evaluated as slightly adequate (2.77 ± 0.83). The rigidity (1.88 ± 1.05) of Prototype A + B + embroidery was evaluated as inadequate. The prototype revealed clothing sensors with low adequacy regarding the physical requirements, such as stiffness or roughness. Improvements are needed regarding the stiffness and roughness for the safety and comfort characteristics of the device evaluated.
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Affiliation(s)
- Anderson S. Rêgo
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Luísa Filipe
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Rosana A. Dias
- International Iberian Laboratory of Nanotechnology (INL), 4715-330 Braga, Portugal
| | - Filipe S. Alves
- International Iberian Laboratory of Nanotechnology (INL), 4715-330 Braga, Portugal
| | - José Queiroz
- International Iberian Laboratory of Nanotechnology (INL), 4715-330 Braga, Portugal
| | - Alar Ainla
- International Iberian Laboratory of Nanotechnology (INL), 4715-330 Braga, Portugal
| | - Luísa M. Arruda
- Fibrenamics, Institute of Innovation on Fibre-Based Materials and Composites, University of Minho, 4800-058 Guimaraes, Portugal
- Centre for Textile Science and Technology (2C2T), University of Minho, 4800-058 Guimaraes, Portugal
| | - Raul Fangueiro
- Fibrenamics, Institute of Innovation on Fibre-Based Materials and Composites, University of Minho, 4800-058 Guimaraes, Portugal
- Centre for Textile Science and Technology (2C2T), University of Minho, 4800-058 Guimaraes, Portugal
| | - Maria Bouçanova
- Impetus Portugal-Têxteis Sa (IMPETUS), 4740-696 Barcelos, Portugal
| | - Rafael A. Bernardes
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Liliana B. de Sousa
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Paulo Santos-Costa
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - João A. Apóstolo
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Pedro Parreira
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
| | - Anabela Salgueiro-Oliveira
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), 3000-232 Coimbra, Portugal
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Vera-Ortega P, Vázquez-Martín R, Fernandez-Lozano JJ, García-Cerezo A, Mandow A. Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human-Robot Architecture for Search and Rescue. SENSORS (BASEL, SWITZERLAND) 2022; 23:49. [PMID: 36616647 PMCID: PMC9823914 DOI: 10.3390/s23010049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of health monitoring sensors suitable for detecting stress, anxiety and physical fatigue in an Internet of Cooperative Agents architecture for search and rescue (SAR) missions (SAR-IoCA), which allows remote control and communication between human and robotic agents and the mission control center. With this purpose, we performed proof-of-concept experiments with a bio-signal sensor suite worn by firefighters in two high-fidelity SAR exercises. Moreover, we conducted a survey, distributed to end-users through the Fire Brigade consortium of the Provincial Council of Málaga, in order to analyze the firefighters' opinion about biological signals monitoring while on duty. As a result of this methodology, we propose a wearable sensor suite design with the aim of providing some easy-to-wear integrated-sensor garments, which are suitable for emergency worker activity. The article offers discussion of user acceptance, performance results and learned lessons.
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11
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Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning. Diagnostics (Basel) 2022; 12:diagnostics12112750. [DOI: 10.3390/diagnostics12112750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/02/2022] [Accepted: 11/04/2022] [Indexed: 11/12/2022] Open
Abstract
To avoid dire situations, the medical sector must develop various methods for quickly and accurately identifying infections in remote regions. The primary goal of the proposed work is to create a wearable device that uses the Internet of Things (IoT) to carry out several monitoring tasks. To decrease the amount of communication loss as well as the amount of time required to wait before detection and improve detection quality, the designed wearable device is also operated with a multi-objective framework. Additionally, a design method for wearable IoT devices is established, utilizing distinct mathematical approaches to solve these objectives. As a result, the monitored parametric values are saved in a different IoT application platform. Since the proposed study focuses on a multi-objective framework, state design and deep learning (DL) optimization techniques are combined, reducing the complexity of detection in wearable technology. Wearable devices with IoT processes have even been included in current methods. However, a solution cannot be duplicated using mathematical approaches and optimization strategies. Therefore, developed wearable gadgets can be applied to real-time medical applications for fast remote monitoring of an individual. Additionally, the proposed technique is tested in real-time, and an IoT simulation tool is utilized to track the compared experimental results under five different situations. In all of the case studies that were examined, the planned method performs better than the current state-of-the-art methods.
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12
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Morales A, Barbosa M, Morás L, Cazella SC, Sgobbi LF, Sene I, Marques G. Occupational Stress Monitoring Using Biomarkers and Smartwatches: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:6633. [PMID: 36081096 PMCID: PMC9460732 DOI: 10.3390/s22176633] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 06/15/2023]
Abstract
This article presents a systematic review of the literature concerning scientific publications on wrist wearables that can help to identify stress levels. The study is part of a research project aimed at modeling a stress surveillance system and providing coping recommendations. The investigation followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In total, 38 articles were selected for full reading, and 10 articles were selected owing to their alignment with the study proposal. The types of technologies used in the research stand out amongst our main results after analyzing the articles. It is noteworthy that stress assessments are still based on standardized questionnaires, completed by the participants. The main biomarkers collected by the devices used in the selected works included: heart rate variation, cortisol analysis, skin conductance, body temperature, and blood volume at the wrist. This study concludes that developing a wrist wearable for stress identification using physiological and chemical sensors is challenging but possible and applicable.
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Affiliation(s)
- Analúcia Morales
- Graduate Program in Energy and Sustainability, Sciences, Technologies, and Health Education Center, Federal University of Santa Catarina (UFSC), Araranguá 88906-072, Brazil
- Research Group on Intelligent Systems Applied to Health, CNPq, Brasilia 70067-900, Brazil
| | - Maria Barbosa
- Graduate Program in Information Technologies and Health Management, Department of Exact Sciences and Applied Social, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre 90050-170, Brazil
| | - Laura Morás
- Research Group on Intelligent Systems Applied to Health, CNPq, Brasilia 70067-900, Brazil
- Graduate Program in Information Technologies and Health Management, Department of Exact Sciences and Applied Social, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre 90050-170, Brazil
| | - Silvio César Cazella
- Research Group on Intelligent Systems Applied to Health, CNPq, Brasilia 70067-900, Brazil
- Graduate Program in Information Technologies and Health Management, Department of Exact Sciences and Applied Social, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre 90050-170, Brazil
| | - Lívia F. Sgobbi
- Institute of Chemistry (IQ), Federal University of Goiás (UFG), Goiânia 74690-900, Brazil
| | - Iwens Sene
- Research Group on Intelligent Systems Applied to Health, CNPq, Brasilia 70067-900, Brazil
- Institute of Informatics (INF), Federal University of Goiás (UFG), Goiânia 74690-900, Brazil
| | - Gonçalo Marques
- Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, 3400-124 Oliveira do Hospital, Portugal
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