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Varma M, Sequeira T, Naidu NKS, Mallya Y, Sunkara A, Patil P, Poojary N, Vaidyanathan MK, Balmaekers B, Thomas J, Prasad N S, Badagabettu S. Contactless monitoring of respiratory rate (RR) and heart rate (HR) in non-acuity settings: a clinical validity study. BMJ Open 2022; 12:e065790. [PMID: 36564107 PMCID: PMC9791412 DOI: 10.1136/bmjopen-2022-065790] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Patient monitoring in general wards primarily involves intermittent observation of temperature, heart rate (HR), respiratory rate (RR) and blood pressure performed by the nursing staff. Several hours can lapse between such measurements, and the patient may go unobserved. Despite the growing widespread use of sensors to monitor vital signs and physical activities of healthy individuals, most acutely ill hospitalised patients remain unmonitored, leaving them at an increased risk. We investigated whether a contactless monitoring system could measure vital parameters, such as HR and RR, in a real-world hospital setting. DESIGN A cross-sectional prospective study. SETTING AND PARTICIPANTS We examined the suitability of employing a non-contact monitoring system in a low-acuity setup at a tertiary care hospital in India. Measurements were performed on 158 subjects, with data acquired through contactless monitoring from the general ward and dialysis unit. OUTCOME MEASURES Vital parameters (RR and HR) were measured using a video camera in a non-acuity setting. RESULTS Three distinct combinations of contactless monitoring afforded excellent accuracy. Contactless RR monitoring was linearly correlated with Alice NightOne and manual counts, presenting coefficients of determination of 0.88 and 0.90, respectively. Contactless HR monitoring presented a coefficient of determination of 0.91. The mean absolute errors were 0.84 and 2.15 beats per minute for RR and HR, respectively. CONCLUSIONS Compared with existing Food and Drug Administration-approved monitors, the findings of the present study revealed that contactless monitoring of RR and HR accurately represented study populations in non-acuity settings. Contactless video monitoring is an unobtrusive and dependable method for monitoring and recording RR and HR. Further research is needed to validate its dependability and utility in other settings, including acute care. TRIAL REGISTRATION NUMBER CTRI/2018/11/016246.
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Affiliation(s)
- Muralidhar Varma
- Department of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Trevor Sequeira
- Department of Critical Care, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | | | - Yogish Mallya
- Philips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India
| | - Amarendranath Sunkara
- Philips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India
| | - Praveen Patil
- Philips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India
| | - Nagaraj Poojary
- Philips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India
| | | | | | - Joseph Thomas
- Department of Plastic Surgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Shankar Prasad N
- Department of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Manipal, Karnataka, India
| | - Sulochana Badagabettu
- Fundamentals of Nursing, Manipal College of Nursing, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Khan AM, Ahmed S, Chowdhury NH, Islam MS, McCollum ED, King C, Shi T, Nahar K, Simpson R, Ahmed A, Rahman MM, Baqui AH, Cunningham S, Campbell H. Developing a video expert panel as a reference standard to evaluate respiratory rate counting in paediatric pneumonia diagnosis: protocol for a cross-sectional study. BMJ Open 2022; 12:e067389. [PMID: 36379660 PMCID: PMC9668034 DOI: 10.1136/bmjopen-2022-067389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Manual counting of respiratory rate (RR) in children is challenging for health workers and can result in misdiagnosis of pneumonia. Some novel RR counting devices automate the counting of RR and classification of fast breathing. The absence of an appropriate reference standard to evaluate the performance of these devices is a challenge. If good quality videos could be captured, with RR interpretation from these videos systematically conducted by an expert panel, it could act as a reference standard. This study is designed to develop a video expert panel (VEP) as a reference standard to evaluate RR counting for identifying pneumonia in children. METHODS AND ANALYSIS Using a cross-sectional design, we will enrol children aged 0-59 months presenting with suspected pneumonia at different levels of health facilities in Dhaka and Sylhet, Bangladesh. We will videorecord a physician/health worker counting RR manually and also using an automated RR counter (Children's Automated Respiration Monitor) from each child. We will establish a standard operating procedure for capturing quality videos, make a set of reference videos, and train and standardise the VEP members using the reference videos. After that, we will assess the performance of the VEP as a reference standard to evaluate RR counting. We will calculate the mean difference and proportions of agreement within±2 breaths per minute and create Bland-Altman plots with limits of agreement between VEP members. ETHICS AND DISSEMINATION The study protocol was approved by the National Research Ethics Committee of Bangladesh Medical Research Council, Bangladesh (registration number: 39315022021) and Edinburgh Medical School Research Ethics Committee (EMREC), Edinburgh, UK (REC Reference: 21-EMREC-040). Dissemination of the study findings will be through conference presentations and publications in peer-reviewed scientific journals.
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Affiliation(s)
- Ahad Mahmud Khan
- Usher Institute, The University of Edinburgh, Edinburgh, UK
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - Salahuddin Ahmed
- Usher Institute, The University of Edinburgh, Edinburgh, UK
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | | | | | - Eric D McCollum
- Department of Paediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Carina King
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Ting Shi
- Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Kamrun Nahar
- Department of Paediatrics, Shaheed Suhrawardi Medical College Hospital, Dhaka, Bangladesh
| | | | - Ayaz Ahmed
- Royal Hospital for Children, Glasgow, UK
| | - Md Mozibur Rahman
- Department of Neonatology, Institute of Child and Mother Health, Dhaka, Bangladesh
| | - Abdullah H Baqui
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Steve Cunningham
- Department of Paediatric Respiratory Medicine, The University of Edinburgh Centre for Inflammation Research, Edinburgh, UK
| | - Harry Campbell
- Usher Institute, The University of Edinburgh, Edinburgh, UK
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Selvaraju V, Spicher N, Wang J, Ganapathy N, Warnecke JM, Leonhardt S, Swaminathan R, Deserno TM. Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:4097. [PMID: 35684717 PMCID: PMC9185528 DOI: 10.3390/s22114097] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/18/2022] [Accepted: 05/18/2022] [Indexed: 02/04/2023]
Abstract
In recent years, noncontact measurements of vital signs using cameras received a great amount of interest. However, some questions are unanswered: (i) Which vital sign is monitored using what type of camera? (ii) What is the performance and which factors affect it? (iii) Which health issues are addressed by camera-based techniques? Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement, we conduct a systematic review of continuous camera-based vital sign monitoring using Scopus, PubMed, and the Association for Computing Machinery (ACM) databases. We consider articles that were published between January 2018 and April 2021 in the English language. We include five vital signs: heart rate (HR), respiratory rate (RR), blood pressure (BP), body skin temperature (BST), and oxygen saturation (SpO2). In total, we retrieve 905 articles and screened them regarding title, abstract, and full text. One hundred and four articles remained: 60, 20, 6, 2, and 1 of the articles focus on HR, RR, BP, BST, and SpO2, respectively, and 15 on multiple vital signs. HR and RR can be measured using red, green, and blue (RGB) and near-infrared (NIR) as well as far-infrared (FIR) cameras. So far, BP and SpO2 are monitored with RGB cameras only, whereas BST is derived from FIR cameras only. Under ideal conditions, the root mean squared error is around 2.60 bpm, 2.22 cpm, 6.91 mm Hg, 4.88 mm Hg, and 0.86 °C for HR, RR, systolic BP, diastolic BP, and BST, respectively. The estimated error for SpO2 is less than 1%, but it increases with movements of the subject and the camera-subject distance. Camera-based remote monitoring mainly explores intensive care, post-anaesthesia care, and sleep monitoring, but also explores special diseases such as heart failure. The monitored targets are newborn and pediatric patients, geriatric patients, athletes (e.g., exercising, cycling), and vehicle drivers. Camera-based techniques monitor HR, RR, and BST in static conditions within acceptable ranges for certain applications. The research gaps are large and heterogeneous populations, real-time scenarios, moving subjects, and accuracy of BP and SpO2 monitoring.
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Affiliation(s)
- Vinothini Selvaraju
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
- Non-Invasive Imaging and Diagnostic Laboratory, Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai 600036, India;
| | - Nicolai Spicher
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
| | - Ju Wang
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
| | - Nagarajan Ganapathy
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
| | - Joana M. Warnecke
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
| | - Steffen Leonhardt
- Chair for Medical Information Technology, Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, D-52074 Aachen, Germany;
| | - Ramakrishnan Swaminathan
- Non-Invasive Imaging and Diagnostic Laboratory, Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai 600036, India;
| | - Thomas M. Deserno
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, D-38106 Braunschweig, Germany; (V.S.); (N.S.); (J.W.); (N.G.); (J.M.W.)
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Caspar M, Dutilh G, Achermann S, Bingisser R, Nickel CH. Contact-Free Monitoring of Pulse Rate For Triage of Patients Presenting to the Emergency Department. J Emerg Med 2021; 61:649-657. [PMID: 34474932 DOI: 10.1016/j.jemermed.2021.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 06/14/2021] [Accepted: 07/03/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND The evaluation of a patient's pulse rate (PR) plays a key role in emergency triage and is commonly measured in a contact-dependent way. OBJECTIVE Our aims were to evaluate a camera-based prototype application (CBPA) measuring PR in an emergency department (ED) as an alternative to the current contact-dependent method of pulse oximetry and to determine the correlation between CBPA and pulse oximetry in measuring PR. METHODS We simultaneously measured PR with CBPA and pulse oximetry as a reference method on a large group of ED walk-in patients. We then estimated correlation and agreement between the two methods, as well as the corresponding 95% confidence intervals. RESULTS In a convenience sample of 446 patients, the correlation between CBPA and pulse oximetry in measuring PR was 0.939 (95% confidence interval [CI] 0.927-0.949) and the intraclass correlation was 0.939 (95% CI 0.927-0.949). CONCLUSIONS Our study found that CBPA seems to be a viable alternative to the current method of measuring PR at triage. ClinicalTrials.gov identifier: NCT03393585.
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Affiliation(s)
- Mia Caspar
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Gilles Dutilh
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel, Basel, Switzerland
| | - Stefan Achermann
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Roland Bingisser
- Emergency Department, University Hospital Basel, Basel, Switzerland
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Kroll L, Böhning N, Müßigbrodt H, Stahl M, Halkin P, Liehr B, Grunow C, Kujumdshieva-Böhning B, Freise C, Hopfenmüller W, Friesdorf W, Jockers-Scherübl M, Somasundaram R. Non-contact monitoring of agitation and use of a sheltering device in patients with dementia in emergency departments: a feasibility study. BMC Psychiatry 2020; 20:165. [PMID: 32295567 PMCID: PMC7161155 DOI: 10.1186/s12888-020-02573-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 03/30/2020] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Agitation is common in geriatric patients with cognitive impairment, e.g. in persons with dementia (PWD), who are admitted to an emergency department (ED). It might be a first sign of upcoming delirium and is associated with a higher risk of an unfavorable clinical course. Hence, monitoring of vital signs and enhanced movement as indicators of upcoming agitation is essential in these patients during their stay in the ED. Since PWD rarely tolerate fixed monitoring devices, a novel developed non-contact monitoring system (NCMSys) might represent an appropriate alternative. Aim of this feasibility study was to test the validity of a NCMSys and of the tent-like "Charité Dome" (ChD), aimed to shelter PWD from the busy ED environment. Furthermore, effects of the ChD on wellbeing and agitation of PWD were investigated. METHODS Both devices were attached to patient's bed. Tests on technical validity and safety issues of NCMSys and ChD were performed at the iDoc institute with six healthy volunteers. A feasibility study evaluating the reliability of the NCMSys with and without the ChD was performed in the real-life setting of an ED and on a geriatric-gerontopsychiatric ward. 19 patients were included, ten males and nine females; mean age: 77.4 (55-93) years of which 14 were PWD. PWD inclusion criteria were age ≥ 55 years, a dementia diagnosis and a written consent (by patients or by a custodian). Exclusion criteria were acute life-threatening situations and a missing consent. RESULTS Measurements of heart rate, changes in movement and sound emissions by the NCMSys were valid, whereas patient movements affected respiratory rate measurements. The ChD did not impact patients' vital signs or movements in our study setting. However, 53% of the PWD (7/13) and most of the patients without dementia (4/5) benefited from its use regarding their agitation and overall wellbeing. CONCLUSIONS The results of this feasibility study encourage a future controlled clinical trial in geriatric ED patients, including PWD, to further evaluate if our concept of non-contact measurement of vital signs and movement combined with the "Charité Dome" helps to prevent upcoming agitation in this vulnerable patient group in the ED. TRIAL REGISTRATION ICTRP: "Charité-Dome-Study - DRKS00014737" (retrospectively registered).
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Affiliation(s)
- Lisa Kroll
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Nikolaus Böhning
- iDoc - Institut für Telemedizin und Gesundheitskommunikation GmbH & Co. KG, Berlin, Germany
| | - Heidi Müßigbrodt
- Oberhavel Kliniken, Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Hennigsdorf, Germany
| | - Maria Stahl
- grid.6734.60000 0001 2292 8254Technical University of Berlin— Institute of Psychology and Ergonomics, Berlin, Germany
| | - Pavel Halkin
- iDoc - Institut für Telemedizin und Gesundheitskommunikation GmbH & Co. KG, Berlin, Germany
| | - Birgit Liehr
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Christine Grunow
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | | | - Christian Freise
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Werner Hopfenmüller
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200 Berlin, Germany
| | - Wolfgang Friesdorf
- HCMB – Institute for Health Care Systems Management Berlin eG, Berlin, Germany
| | - Maria Jockers-Scherübl
- Oberhavel Kliniken, Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Hennigsdorf, Germany
| | - Rajan Somasundaram
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Emergency Department Campus Benjamin Franklin, Hindenburgdamm 30, 12200, Berlin, Germany.
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Achermann S, Caspar M, Wirth C, Becker C, Rocque M, Kirenko I, Schlack A, Dutilh G, Bingisser R, Nickel CH. Contact-free monitoring of respiratory rates for triage of patients presenting to the emergency department. Resuscitation 2019; 137:154-155. [PMID: 30790695 DOI: 10.1016/j.resuscitation.2019.01.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 01/28/2019] [Indexed: 11/16/2022]
Affiliation(s)
- Stefan Achermann
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Mia Caspar
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Christian Wirth
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Christoph Becker
- Emergency Department, University Hospital Basel, Basel, Switzerland
| | - Mukul Rocque
- Patient Care & Measurement Department, Philips(®) Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands
| | - Ihor Kirenko
- Patient Care & Measurement Department, Philips(®) Research, High Tech Campus 34, 5656 AE, Eindhoven, The Netherlands
| | - Andreas Schlack
- Patient Monitoring R&D, Philips Medizin Systeme Böblingen GmbH, Böblingen, Germany
| | - Gilles Dutilh
- Dept. Clinical Research, Clinical Trial Unit, University Hospital Basel, Basel, Switzerland
| | - Roland Bingisser
- Emergency Department, University Hospital Basel, Basel, Switzerland
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