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

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 si...

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Autores principales: Saner, Hugo, Schuetz, Narayan, Buluschek, Philipp, Du Pasquier, Guillaume, Ribaudo, Giuseppe, Urwyler, Prabitha, Nef, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884343/
https://www.ncbi.nlm.nih.gov/pubmed/33604357
http://dx.doi.org/10.3389/fcvm.2021.617682
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author Saner, Hugo
Schuetz, Narayan
Buluschek, Philipp
Du Pasquier, Guillaume
Ribaudo, Giuseppe
Urwyler, Prabitha
Nef, Tobias
author_facet Saner, Hugo
Schuetz, Narayan
Buluschek, Philipp
Du Pasquier, Guillaume
Ribaudo, Giuseppe
Urwyler, Prabitha
Nef, Tobias
author_sort Saner, Hugo
collection PubMed
description 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.
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spelling pubmed-78843432021-02-17 Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation Saner, Hugo Schuetz, Narayan Buluschek, Philipp Du Pasquier, Guillaume Ribaudo, Giuseppe Urwyler, Prabitha Nef, Tobias Front Cardiovasc Med Cardiovascular Medicine 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. Frontiers Media S.A. 2021-02-02 /pmc/articles/PMC7884343/ /pubmed/33604357 http://dx.doi.org/10.3389/fcvm.2021.617682 Text en Copyright © 2021 Saner, Schuetz, Buluschek, Du Pasquier, Ribaudo, Urwyler and Nef. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Saner, Hugo
Schuetz, Narayan
Buluschek, Philipp
Du Pasquier, Guillaume
Ribaudo, Giuseppe
Urwyler, Prabitha
Nef, Tobias
Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title_full Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title_fullStr Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title_full_unstemmed Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title_short Case Report: Ambient Sensor Signals as Digital Biomarkers for Early Signs of Heart Failure Decompensation
title_sort case report: ambient sensor signals as digital biomarkers for early signs of heart failure decompensation
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884343/
https://www.ncbi.nlm.nih.gov/pubmed/33604357
http://dx.doi.org/10.3389/fcvm.2021.617682
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