Cardiopulmonary coupling analysis using smart wearables and mobile computing

Abstract: Cardiopulmonary coupling (CPC) analysis links heart and respiration rates to assess sleep-related parameters. Typically, the CPC is measured using multi-lead electrocardiography (ECG) and ECG-derived respiration (EDR). Novel textile shirts with embedded ECG sensors offer convenient and continuously monitored sleep at home. We investigate the feasibility of a shirt with textile sensors (Pro- Kit, Hexoskin, Quebec, Canada) for CPC analysis by mobile computing. ECG data is continuously transmitted from the shirt to a smartphone via Bluetooth Low Energy (BLE). We customize a CPC algorithm and use twelve whole-night recordings from four volunteers to perform qualitative and quantitative analysis. We compare EDR with respiratory inductive plethysmography (RIP). In average, EDR and RIP differ 17.22%. After one night, the batteries are reduced to approx. 70% (shirt) and 90% (smartphone). The run time for CPC processing is approx. 3 min. Hence, smart wearables in combination with mobile computing show technical feasibility for CPC analysis. Eventually, this could yield a useful solution for sleep analysis of non-expert users in a private environment.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Cardiopulmonary coupling analysis using smart wearables and mobile computing ; volume:7 ; number:2 ; year:2021 ; pages:291-294 ; extent:4 ; Current directions in biomedical engineering ; 7, Heft 2 (2021), 291-294 (gesamt 4)

Contributors, Places and Time

• Creator: Schüler, Willi ; Spicher, Nicolai ; Deserno, Thomas M.

Further information

• DOI: 10.1515/cdbme-2021-2074
• URN: urn:nbn:de:101:1-2022101214220241390462
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:29 AM CEST