Consideration of Calculation Process Assuming Heart Rate Variability Analysis Using Wearable ECG Devices

被引：0

作者：

Aoki, Ryosuke ^{[1
]}

Eguchi, Kana ^{[1
]}

Shimauchi, Suehiro ^{[2
]}

Yoshida, Kazuhiro ^{[1
]}

Yamada, Tomohiro ^{[1
]}

机构：

[1] NTT Serv Evolut Labs, 1-1 Hikari No Oka, Yokosuka, Kanagawa 2390847, Japan

[2] NTT Media Intelligence Labs, 3-9-11 Midori Cho, Musashino, Tokyo 1800012, Japan

来源：

2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2018年

关键词：

REDUCTION;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Since many shirt-type wearable electrocardiogram (ECG) devices employ shirt-embedded dry electrodes that are easily affected by the daily activities of users, measured ECG often includes noise or artifacts. Experiments confirmed that a desirable HRV calculation process assuming these wearable ECG devices is a combination of accurate R wave detection, RRI outlier exclusion and missing RRI complement methods.

引用

页码：5693 / 5696

页数：4

共 50 条

[41] Heart Rate Variability calculation methods
Kalinkov, Kahn
Markova, Valentina
Ganchev, Todor
PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON BIOMEDICAL INNOVATIONS AND APPLICATIONS (BIA 2020), 2020, : 96 - 99
[42] Sampling Rate Reduction for Wearable Heart Rate Variability Monitoring
Nishikawa, Yuki
Izumi, Shintaro
Yano, Yuji
Kawaguchi, Hiroshi
Yoshimoto, Masahiko
2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
[43] Wearable Devices Suitable for Monitoring Twenty Four Hour Heart Rate Variability in Military Populations
Hinde, Katrina
White, Graham
Armstrong, Nicola
SENSORS, 2021, 21 (04) : 1 - 20
[44] ECG PQRST complex detector and heart rate variability analysis using temporal characteristics of fiducial points
Bae, Tae Wuk
Kwon, Kee Koo
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 66
[45] HEART RATE VARIABILITY AND DEEP LEARNING ANALYSIS OF OBSTRUCTIVE SLEEP APNEA USING ECG FROM POLYSOMNOGRAPHY
Kim, Kiyong
Yang, Tae-Won
Kim, Ji Yoon
Choi, Woo Ri
Kwon, Kyung Won
Lee, So Young
Kim, Seung Hwan
Jeon, Byeong Gu
Ko, Nak Gyeong
Kim, Young-Soo
Kwon, Oh-Young
Kim, Do-Hyung
SLEEP, 2024, 47
[46] ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information
Halomoan, Junartho
Ramli, Kalamullah
Sudiana, Dodi
Gunawan, Teddy Surya
Salman, Muhammad
INFORMATION, 2023, 14 (10)
[47] Evaluation of Effect of Music on Human Nervous System by Heart Rate Variability Analysis Using ECG Sensor
Wu, Min-Hao
Chang, Ting-Cheng
SENSORS AND MATERIALS, 2021, 33 (02) : 739 - 753
[48] Examination of Cardiac Activity with ECG Monitoring Using Heart Rate Variability Methods
Georgieva-Tsaneva, Galya
Gospodinova, Evgeniya
Cheshmedzhiev, Krasimir
DIAGNOSTICS, 2024, 14 (09)
[49] Daily Stress Monitoring Using Heart Rate Variability of Bathtub ECG Signals
Li, Tianhui
Chen, Ying
Chen, Wenxi
2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 2699 - 2702
[50] Motion Artifact Removal in Ambulatory ECG Signal for Heart Rate Variability Analysis
Berwal, Deepak
Vandana, C. R.
Dewan, Sourya
Jiji, C., V
Baghini, Maryam Shojaei
IEEE SENSORS JOURNAL, 2019, 19 (24) : 12432 - 12442

← 1 2 3 4 5 →