Literature DB >> 33737660

Design and evaluation of a novel approach to invisible electrocardiography (ECG) in sanitary facilities using polymeric electrodes.

Aline Dos Santos Silva1, Hugo Almeida2, Hugo Plácido da Silva3, António Oliveira4.   

Abstract

Multiple wearable devices for cardiovascular self-monitoring have been proposed over the years, with growing evidence showing their effectiveness in the detection of pathologies that would otherwise be unnoticed through standard routine exams. In particular, Electrocardiography (ECG) has been an important tool for such purpose. However, wearables have known limitations, chief among which are the need for a voluntary action so that the ECG trace can be taken, battery lifetime, and abandonment. To effectively address these, novel solutions are needed, which has recently paved the way for "invisible" (aka "off-the-person") sensing approaches. In this article we describe the design and experimental evaluation of a system for invisible ECG monitoring at home. For this purpose, a new sensor design was proposed, novel materials have been explored, and a proof-of-concept data collection system was created in the form of a toilet seat, enabling ECG measurements as an extension of the regular use of sanitary facilities, without requiring body-worn devices. In order to evaluate the proposed approach, measurements were performed using our system and a gold standard equipment, involving 10 healthy subjects. For the acquisition of the ECG signals on the toilet seat, polymeric electrodes with different textures were produced and tested. According to the results obtained, some of the textures did not allow the acquisition of signals in all users. However, a pyramidal texture showed the best results in relation to heart rate and ECG waveform morphology. For a texture that has shown 0% signal loss, the mean heart rate difference between the reference and experimental device was - 1.778 ± 4.654 Beats per minute (BPM); in terms of ECG waveform, the best cases present a Pearson correlation coefficient above 0.99.

Entities:  

Year:  2021        PMID: 33737660     DOI: 10.1038/s41598-021-85697-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  10 in total

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Authors:  Emily Anthes
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

2.  Accuracy of Apple Watch for Detection of Atrial Fibrillation.

Authors:  Dhruv R Seshadri; Barbara Bittel; Dalton Browsky; Penny Houghtaling; Colin K Drummond; Milind Y Desai; A Marc Gillinov
Journal:  Circulation       Date:  2020-02-24       Impact factor: 29.690

3.  Cardiac arrest in the toilet: clinical characteristics and resuscitation profiles.

Authors:  Joji Inamasu; Satoru Miyatake
Journal:  Environ Health Prev Med       Date:  2012-09-09       Impact factor: 3.674

4.  Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management.

Authors:  John D Piette; Justin List; Gurpreet K Rana; Whitney Townsend; Dana Striplin; Michele Heisler
Journal:  Circulation       Date:  2015-11-24       Impact factor: 29.690

Review 5.  Epidemiology of the inherited cardiomyopathies.

Authors:  William J McKenna; Daniel P Judge
Journal:  Nat Rev Cardiol       Date:  2020-09-07       Impact factor: 32.419

6.  A mountable toilet system for personalized health monitoring via the analysis of excreta.

Authors:  Seung-Min Park; Daeyoun D Won; Brian J Lee; Diego Escobedo; Andre Esteva; Amin Aalipour; T Jessie Ge; Jung Ha Kim; Susie Suh; Elliot H Choi; Alexander X Lozano; Chengyang Yao; Sunil Bodapati; Friso B Achterberg; Jeesu Kim; Hwan Park; Youngjae Choi; Woo Jin Kim; Jung Ho Yu; Alexander M Bhatt; Jong Kyun Lee; Ryan Spitler; Shan X Wang; Sanjiv S Gambhir
Journal:  Nat Biomed Eng       Date:  2020-04-06       Impact factor: 25.671

Review 7.  Portable out-of-hospital electrocardiography: A review of current technologies.

Authors:  Agam Bansal; Rajnish Joshi
Journal:  J Arrhythm       Date:  2018-02-23

8.  Apple Watch detecting coronary ischaemia during chest pain episodes or an apple a day may keep myocardial infarction away.

Authors:  Michael Drexler; Christian Elsner; Valentin Gabelmann; Tommaso Gori; Thomas Münzel
Journal:  Eur Heart J       Date:  2020-06-14       Impact factor: 29.983

9.  In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study.

Authors:  Nicholas J Conn; Karl Q Schwarz; David A Borkholder
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-18       Impact factor: 4.773

Review 10.  Digital Health Innovations to Improve Cardiovascular Disease Care.

Authors:  Karla Santo; Julie Redfern
Journal:  Curr Atheroscler Rep       Date:  2020-10-03       Impact factor: 5.113

  10 in total
  2 in total

1.  Identity Recognition in Sanitary Facilities Using Invisible Electrocardiography.

Authors:  Aline Santos Silva; Miguel Velhote Correia; Francisco de Melo; Hugo Plácido da Silva
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

2.  System on Chip (SoC) for Invisible Electrocardiography (ECG) Biometrics.

Authors:  Francisco de Melo; Horácio C Neto; Hugo Plácido da Silva
Journal:  Sensors (Basel)       Date:  2022-01-04       Impact factor: 3.576

  2 in total

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