Literature DB >> 31947166

Wearable Multimodal Stethoscope Patch for Wireless Biosignal Acquisition and Long-Term Auscultation.

Michael Klum, Fabian Leib, Casper Oberschelp, David Martens, Alexandru-Gabriel Pielmus, Timo Tigges, Thomas Penzel, Reinhold Orglmeister.   

Abstract

Detecting critical events in postoperative care and improving comfort, costs and availability in sleep assessment are two of many areas in which wearable biosignal acquisition can be a viable tool. Modern sensors as well as patch and textile integration facilitate unobtrusive biosignal acquisition, yet placing sensors at different locations across the body is still prevailing. Actigraphy and the electrocardiogram (ECG) are commonly integrated modalities. The stethoscope however, despite its wide range of applications, has been neglected from these developments. The introduction of digital stethoscopes, recently led to an objectification and increased interest in the field. We present the prototype of a wearable, Bluetooth 5.0 LE enabled multimodal sensor patch combining five modalities: MEMS stethoscope, ambient noise sensing, ECG, impedance pneumography (IP) and 9-axial actigraphy. The system alleviates the need for sensors at different body positions and enables long-term auscultation. Using high sampling rates and online synchronization, multimodal sensor fusion becomes feasible. The patch measures 70 mm x 60 mm and is attached using three 24 mm Ag/AgCl electrodes. High quality cardiac and pulmonary auscultation as well as ECG and IP acquisition are demonstrated. We derived respiration surrogates with linear correlations to a reference exceeding 0.91 and conclude that the system can be utilized in fields requiring unobtrusive yet high quality signal acquisition. Future research will include the integration of additional sensors and further size reduction.

Entities:  

Year:  2019        PMID: 31947166     DOI: 10.1109/EMBC.2019.8857210

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

1.  Smart Multimodal Telehealth-IoT System for COVID-19 Patients.

Authors:  Lloyd E Emokpae; Roland N Emokpae; Wassila Lalouani; Mohamed Younis
Journal:  IEEE Pervasive Comput       Date:  2021-04-13       Impact factor: 1.603

2.  Towards Estimation of Tidal Volume and Respiratory Timings via Wearable-Patch-Based Impedance Pneumography in Ambulatory Settings.

Authors:  John A Berkebile; Samer A Mabrouk; Venu G Ganti; Adith V Srivatsa; Jesus Antonio Sanchez-Perez; Omer T Inan
Journal:  IEEE Trans Biomed Eng       Date:  2022-05-19       Impact factor: 4.756

3.  Fully portable continuous real-time auscultation with a soft wearable stethoscope designed for automated disease diagnosis.

Authors:  Sung Hoon Lee; Yun-Soung Kim; Min-Kyung Yeo; Musa Mahmood; Nathan Zavanelli; Chaeuk Chung; Jun Young Heo; Yoonjoo Kim; Sung-Soo Jung; Woon-Hong Yeo
Journal:  Sci Adv       Date:  2022-05-25       Impact factor: 14.957

4.  Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope.

Authors:  Valerie Rennoll; Ian McLane; Dimitra Emmanouilidou; James West; Mounya Elhilali
Journal:  IEEE J Biomed Health Inform       Date:  2021-05-11       Impact factor: 5.772

Review 5.  The coming era of a new auscultation system for analyzing respiratory sounds.

Authors:  Yoonjoo Kim; YunKyong Hyon; Sunju Lee; Seong-Dae Woo; Taeyoung Ha; Chaeuk Chung
Journal:  BMC Pulm Med       Date:  2022-03-31       Impact factor: 3.317

6.  Design and Realization of MEMS Heart Sound Sensor with Concave, Racket-Shaped Cilium.

Authors:  Yuhua Yang; Bo Wang; Jiangong Cui; Guojun Zhang; Renxin Wang; Wendong Zhang; Changde He; Yirui Li; Pengcheng Shi; Shuotong Wang
Journal:  Biosensors (Basel)       Date:  2022-07-18

7.  Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring.

Authors:  Heejoon Park; Qun Wei; Soomin Lee; Miran Lee
Journal:  Sensors (Basel)       Date:  2022-08-27       Impact factor: 3.847

8.  Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVETand Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram.

Authors:  Michael Klum; Mike Urban; Timo Tigges; Alexandru-Gabriel Pielmus; Aarne Feldheiser; Theresa Schmitt; Reinhold Orglmeister
Journal:  Sensors (Basel)       Date:  2020-04-04       Impact factor: 3.576

  8 in total

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