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Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review.
Lingawi, Saud; Hutton, Jacob; Khalili, Mahsa; Shadgan, Babak; Christenson, Jim; Grunau, Brian; Kuo, Calvin.
Afiliación
  • Lingawi S; British Columbia Resuscitation Research Collaborative, Vancouver, BC, Canada. Saud.Lingawi@ubc.ca.
  • Hutton J; School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada. Saud.Lingawi@ubc.ca.
  • Khalili M; Centre for Aging SMART, University of British Columbia, 2635 Laurel St., Vancouver, BC, V5Z 1M9, Canada. Saud.Lingawi@ubc.ca.
  • Shadgan B; British Columbia Resuscitation Research Collaborative, Vancouver, BC, Canada.
  • Christenson J; British Columbia Emergency Health Services, Vancouver, Canada.
  • Grunau B; Department of Emergency Medicine, University of British Columbia and St. Paul's Hospital, Vancouver, BC, Canada.
  • Kuo C; Centre for Advancing Health Outcomes, University of British Columbia, Vancouver, BC, Canada.
Ann Biomed Eng ; 52(5): 1136-1158, 2024 May.
Article en En | MEDLINE | ID: mdl-38358559
ABSTRACT
Out-of-hospital cardiac arrest (OHCA) is a major health problem, with a poor survival rate of 2-11%. For the roughly 75% of OHCAs that are unwitnessed, survival is approximately 2-4.4%, as there are no bystanders present to provide life-saving interventions and alert Emergency Medical Services. Sensor technologies may reduce the number of unwitnessed OHCAs through automated detection of OHCA-associated physiological changes. However, no technologies are widely available for OHCA detection. This review identifies research and commercial technologies developed for cardiopulmonary monitoring that may be best suited for use in the context of OHCA, and provides recommendations for technology development, testing, and implementation. We conducted a systematic review of published studies along with a search of grey literature to identify technologies that were able to provide cardiopulmonary monitoring, and could be used to detect OHCA. We searched MEDLINE, EMBASE, Web of Science, and Engineering Village using MeSH keywords. Following inclusion, we summarized trends and findings from included studies. Our searches retrieved 6945 unique publications between January, 1950 and May, 2023. 90 studies met the inclusion criteria. In addition, our grey literature search identified 26 commercial technologies. Among included technologies, 52% utilized electrocardiography (ECG) and 40% utilized photoplethysmography (PPG) sensors. Most wearable devices were multi-modal (59%), utilizing more than one sensor simultaneously. Most included devices were wearable technologies (84%), with chest patches (22%), wrist-worn devices (18%), and garments (14%) being the most prevalent. ECG and PPG sensors are heavily utilized in devices for cardiopulmonary monitoring that could be adapted to OHCA detection. Developers seeking to rapidly develop methods for OHCA detection should focus on using ECG- and/or PPG-based multimodal systems as these are most prevalent in existing devices. However, novel sensor technology development could overcome limitations in existing sensors and could serve as potential additions to or replacements for ECG- and PPG-based devices.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Paro Cardíaco Extrahospitalario Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Ann Biomed Eng Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Paro Cardíaco Extrahospitalario Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Ann Biomed Eng Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos