Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation

Frontiers in Cardiovascular Medicine

Narayan Schuetz¹  Tobias Nef¹  Prabitha Urwyler²  Hugo Saner³  Guillaume Du Pasquier⁴  Philipp Buluschek⁴  Giuseppe Ribaudo⁵ 

[1] ARTORG Center for Biomedical Research, Gerontotechnology & Rehabilitation Group, University of Bern, Bern, Switzerland;ARTORG Center for Biomedical Research, Gerontotechnology & Rehabilitation Group, University of Bern, Bern, Switzerland;Neurorehabilitation Unit, Department of Neurology, University Hospital, Inselspital Bern, Bern, Switzerland;ARTORG Center for Biomedical Research, Gerontotechnology & Rehabilitation Group, University of Bern, Bern, Switzerland;University Clinic for Cardiology, University Hospital, Inselspital Bern, Bern, Switzerland;DomoSafety S.A., Lausanne, Switzerland;Gruppenpraxis Neuhard, Olten, Switzerland;

关键词: digital biomarker;    heart failure;    heart failure decompensation;    ambient sensor system;    home monitoring;   

DOI  :  10.3389/fcvm.2021.617682

来源: Frontiers

【 摘 要 】

Home monitoring systems are increasingly used to monitor seniors in their apartments for detection of emergency situations. More recently, multimodal ambient sensor systems are also used to monitor digital biomarkers to detect clinically relevant health problems over longer time periods. Clinical signs of HF decompensation including increase of heart rate and respiration rate, decreased physical activity, reduced gait speed, increasing toilet use at night and deterioration of sleep quality have a great potential to be detected by non-intrusive contactless ambient sensor systems and negative changes of these parameters may be used to prevent further deterioration and hospitalization for HF decompensation. This is to our knowledge the first report about the potential of an affordable, contactless, and unobtrusive ambient sensor system for the detection of early signs of HF decompensation based on data with prospective data acquisition and retrospective correlation of the data with clinical events in a 91 year old senior with a serious heart problem over 1 year. The ambient sensor system detected an increase of respiration rate, heart rate, toilet use at night, toss, and turns in bed and a decrease of physical activity weeks before the decompensation. In view of the rapidly increasing prevalence of HF and the related costs for the health care systems and the societies, the real potential of our approach should be evaluated in larger populations of HF patients.

【 授权许可】

CC BY