Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement

Tsuyoshi Sato; Toshiya Nakaigawa; Nozomu Hamada; Yasue Mitsukura

doi:10.1109/IEEECONF49454.2021.9382689

Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement

Tsuyoshi Sato
, Toshiya Nakaigawa
, Nozomu Hamada
, Yasue Mitsukura

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The purpose of this thesis is to use contactless measurement, to propose a robust system for heartbeats interval estimation that enables easy and stable health monitoring in the daily life. In recent years, cardiovascular disease is a major cause of death. Ballisto cardiogram (BCG), which records the mechanical activity of the heart, has been studied as a method provided an unobtrusive measurement. This technique provides the possibility of observing health status without causing any discomfort however, the signal quality can highly vary due to artifacts associated with breathing or postures of a user. Therefore, this study assesses the robust algorithm to estimate heartbeats interval from BCG signal measured by high-sensitive load sensors that mounted to bed legs. Three healthy subjects participated in the experiments that they lied on the bed with various postures. As a result, mean beat-to-beat interval errors were less than about 50 ms when subjects held in decubitus.

Original language	English
Title of host publication	2021 IEEE/SICE International Symposium on System Integration, SII 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	524-530
Number of pages	7
ISBN (Electronic)	9781728176581
DOIs	https://doi.org/10.1109/IEEECONF49454.2021.9382689
Publication status	Published - 2021 Jan 11
Event	2021 IEEE/SICE International Symposium on System Integration, SII 2021 - Virtual, Iwaki, Fukushima, Japan Duration: 2021 Jan 11 → 2021 Jan 14

Publication series

Name	2021 IEEE/SICE International Symposium on System Integration, SII 2021

Conference

Conference	2021 IEEE/SICE International Symposium on System Integration, SII 2021
Country/Territory	Japan
City	Virtual, Iwaki, Fukushima
Period	21/1/11 → 21/1/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Ballisto cardiogram (BCG)
beat-to-beat interval
cardiovascular disease
heart rate variability

ASJC Scopus subject areas

Artificial Intelligence
Information Systems
Information Systems and Management
Control and Systems Engineering
Industrial and Manufacturing Engineering
Mechanical Engineering

Access to Document

10.1109/IEEECONF49454.2021.9382689

Cite this

Sato, T., Nakaigawa, T., Hamada, N., & Mitsukura, Y. (2021). Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement. In 2021 IEEE/SICE International Symposium on System Integration, SII 2021 (pp. 524-530). Article 9382689 (2021 IEEE/SICE International Symposium on System Integration, SII 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF49454.2021.9382689

Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement. / Sato, Tsuyoshi; Nakaigawa, Toshiya; Hamada, Nozomu et al.
2021 IEEE/SICE International Symposium on System Integration, SII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 524-530 9382689 (2021 IEEE/SICE International Symposium on System Integration, SII 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sato, T, Nakaigawa, T, Hamada, N & Mitsukura, Y 2021, Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement. in 2021 IEEE/SICE International Symposium on System Integration, SII 2021., 9382689, 2021 IEEE/SICE International Symposium on System Integration, SII 2021, Institute of Electrical and Electronics Engineers Inc., pp. 524-530, 2021 IEEE/SICE International Symposium on System Integration, SII 2021, Virtual, Iwaki, Fukushima, Japan, 21/1/11. https://doi.org/10.1109/IEEECONF49454.2021.9382689

Sato T, Nakaigawa T, Hamada N, Mitsukura Y. Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement. In 2021 IEEE/SICE International Symposium on System Integration, SII 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 524-530. 9382689. (2021 IEEE/SICE International Symposium on System Integration, SII 2021). doi: 10.1109/IEEECONF49454.2021.9382689

Sato, Tsuyoshi ; Nakaigawa, Toshiya ; Hamada, Nozomu et al. / Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement. 2021 IEEE/SICE International Symposium on System Integration, SII 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 524-530 (2021 IEEE/SICE International Symposium on System Integration, SII 2021).

@inproceedings{4c204b671caa479e9ea58e6ec1f55bf6,

title = "Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement",

abstract = "The purpose of this thesis is to use contactless measurement, to propose a robust system for heartbeats interval estimation that enables easy and stable health monitoring in the daily life. In recent years, cardiovascular disease is a major cause of death. Ballisto cardiogram (BCG), which records the mechanical activity of the heart, has been studied as a method provided an unobtrusive measurement. This technique provides the possibility of observing health status without causing any discomfort however, the signal quality can highly vary due to artifacts associated with breathing or postures of a user. Therefore, this study assesses the robust algorithm to estimate heartbeats interval from BCG signal measured by high-sensitive load sensors that mounted to bed legs. Three healthy subjects participated in the experiments that they lied on the bed with various postures. As a result, mean beat-to-beat interval errors were less than about 50 ms when subjects held in decubitus.",

keywords = "Ballisto cardiogram (BCG), beat-to-beat interval, cardiovascular disease, heart rate variability",

author = "Tsuyoshi Sato and Toshiya Nakaigawa and Nozomu Hamada and Yasue Mitsukura",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE/SICE International Symposium on System Integration, SII 2021 ; Conference date: 11-01-2021 Through 14-01-2021",

year = "2021",

month = jan,

day = "11",

doi = "10.1109/IEEECONF49454.2021.9382689",

language = "English",

series = "2021 IEEE/SICE International Symposium on System Integration, SII 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "524--530",

booktitle = "2021 IEEE/SICE International Symposium on System Integration, SII 2021",

}

TY - GEN

T1 - Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement

AU - Sato, Tsuyoshi

AU - Nakaigawa, Toshiya

AU - Hamada, Nozomu

AU - Mitsukura, Yasue

PY - 2021/1/11

Y1 - 2021/1/11

N2 - The purpose of this thesis is to use contactless measurement, to propose a robust system for heartbeats interval estimation that enables easy and stable health monitoring in the daily life. In recent years, cardiovascular disease is a major cause of death. Ballisto cardiogram (BCG), which records the mechanical activity of the heart, has been studied as a method provided an unobtrusive measurement. This technique provides the possibility of observing health status without causing any discomfort however, the signal quality can highly vary due to artifacts associated with breathing or postures of a user. Therefore, this study assesses the robust algorithm to estimate heartbeats interval from BCG signal measured by high-sensitive load sensors that mounted to bed legs. Three healthy subjects participated in the experiments that they lied on the bed with various postures. As a result, mean beat-to-beat interval errors were less than about 50 ms when subjects held in decubitus.

AB - The purpose of this thesis is to use contactless measurement, to propose a robust system for heartbeats interval estimation that enables easy and stable health monitoring in the daily life. In recent years, cardiovascular disease is a major cause of death. Ballisto cardiogram (BCG), which records the mechanical activity of the heart, has been studied as a method provided an unobtrusive measurement. This technique provides the possibility of observing health status without causing any discomfort however, the signal quality can highly vary due to artifacts associated with breathing or postures of a user. Therefore, this study assesses the robust algorithm to estimate heartbeats interval from BCG signal measured by high-sensitive load sensors that mounted to bed legs. Three healthy subjects participated in the experiments that they lied on the bed with various postures. As a result, mean beat-to-beat interval errors were less than about 50 ms when subjects held in decubitus.

KW - Ballisto cardiogram (BCG)

KW - beat-to-beat interval

KW - cardiovascular disease

KW - heart rate variability

UR - https://www.scopus.com/pages/publications/85103738266

UR - https://www.scopus.com/pages/publications/85103738266#tab=citedBy

U2 - 10.1109/IEEECONF49454.2021.9382689

DO - 10.1109/IEEECONF49454.2021.9382689

M3 - Conference contribution

AN - SCOPUS:85103738266

T3 - 2021 IEEE/SICE International Symposium on System Integration, SII 2021

SP - 524

EP - 530

BT - 2021 IEEE/SICE International Symposium on System Integration, SII 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE/SICE International Symposium on System Integration, SII 2021

Y2 - 11 January 2021 through 14 January 2021

ER -

Robust Heartbeat Interval Estimation Method against Various Postures on Bed Using Contactless Measurement

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this