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Home monitoring of heart failure patients at risk for hospital readmission using a novel under-the-mattress piezoelectric sensor: A preliminary single centre experience
INTRODUCTION: A piezoelectric sensor (PS) converts mechanical deformations into electrical signals. We used a contactless under-the-mattress PS to monitor physiological vibrations resulting from breathing, pumping of the heart, and body movements, among individuals at home following hospitalization...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221726/ https://www.ncbi.nlm.nih.gov/pubmed/26670209 http://dx.doi.org/10.1177/1357633X15618810 |
Sumario: | INTRODUCTION: A piezoelectric sensor (PS) converts mechanical deformations into electrical signals. We used a contactless under-the-mattress PS to monitor physiological vibrations resulting from breathing, pumping of the heart, and body movements, among individuals at home following hospitalization for heart failure (HF). Our objectives were to assess acceptability of the device in the home, to assess physiological patterns, and to determine if altered patterns correlate with readmission. METHODS: We conducted a prospective observational study of 30 patients discharged home following HF hospitalization. PS data included a continuous nightly assessment of heart rate, respiration rate, movement rate, rapid and shallow respiration duration, and a behaviour score. We utilized random forest classification to classify average nightly data by readmission status. RESULTS: We collected 640 nights of PS data from 29 patients. There were nine readmissions, of which four were for HF. PS monitoring was tolerated by all but one of the participants. We inspected continuous nightly physiological profiles and noted differences between patients who were and were not readmitted. Patients readmitted for HF had higher average heart and respiration rates, and more respiration variability. Average nightly respiratory rate was most predictive of readmission. DISCUSSION: We are the first to study nocturnal physiological patterns of HF patients at home using a contactless under-the-mattress monitoring system. We noted patterns that may be unique to patients at risk for readmission due to HF. Respiratory rate was the most important risk-adjusted associate of readmission for HF. Further studies should investigate the efficacy of home PS monitoring in HF populations. |
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