A Wearable Multi-Sensor Array Enables the Recording of Heart Sounds in Homecare

Author:

Giordano Noemi1ORCID,Rosati Samanta1ORCID,Balestra Gabriella1ORCID,Knaflitz Marco1ORCID

Affiliation:

1. Department of Electronics and Telecommunications and PoliToBIOMedLab, Politecnico di Torino, 10129 Torino, Italy

Abstract

The home monitoring of patients affected by chronic heart failure (CHF) is of key importance in preventing acute episodes. Nevertheless, no wearable technological solution exists to date. A possibility could be offered by Cardiac Time Intervals extracted from simultaneous recordings of electrocardiographic (ECG) and phonocardiographic (PCG) signals. Nevertheless, the recording of a good-quality PCG signal requires accurate positioning of the stethoscope over the chest, which is unfeasible for a naïve user as the patient. In this work, we propose a solution based on multi-source PCG. We designed a flexible multi-sensor array to enable the recording of heart sounds by inexperienced users. The multi-sensor array is based on a flexible Printed Circuit Board mounting 48 microphones with a high spatial resolution, three electrodes to record an ECG and a Magneto-Inertial Measurement Unit. We validated the usability over a sample population of 42 inexperienced volunteers and found that all subjects could record signals of good to excellent quality. Moreover, we found that the multi-sensor array is suitable for use on a wide population of at-risk patients regardless of their body characteristics. Based on the promising findings of this study, we believe that the described device could enable the home monitoring of CHF patients soon.

Funder

Compagnia di Sanpaolo and Links Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cuffless Blood Pressure in clinical practice: challenges, opportunities and current limits.;Blood Pressure;2024-01-21

2. MEMS Array Voiceprint Imaging Algorithm and System Design;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

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