Non-Contact Remote Measurement of Heart Rate Variability using Near-Infrared Photoplethysmography Imaging

被引:0
|
作者
Yu, Xinchi [1 ,2 ]
Paul, Michael [1 ]
Antink, Christoph Hoog [1 ]
Venema, Boudewijn [1 ]
Blazek, Vladimir [1 ,3 ]
Bollheimer, Cornelius [2 ]
Leonhardt, Steffen [1 ]
Teichmann, Daniel [1 ]
机构
[1] Rhein Westfal TH Aachen, Chair Med Informat Technol, Aachen, Germany
[2] RWTH Aachen Univ Hosp, Dept Geriatr, Aachen, Germany
[3] Czech Tech Univ, Czech Inst Informat Robot & Cybernet CIIRC, Prague, Czech Republic
关键词
Heart Rate Variability; Photoplethysmography Imaging; non-contact monitoring;
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
Heart rate variability (HRV) is an important clinical parameter associated with the autonomous nervous system (ANS), age, as well as many diseases such as myocardial infarction, diabetes or renal failure. Gold standard for measurement of HRV is a high-resolution electrocardiogram (ECG). With the current trend towards non-contact and unobtrusive monitoring of vital signs, HRV has also become an interesting and important parameter for non-contact monitoring. In this paper, we present an approach towards non-contact and unobtrusive monitoring of heart rate variability using the camera-based technology of photoplethysmography imaging (PPGI). We investigated the suitability of invisible near-infrared illumination for PPGI, which would enable measurement of HRV in darkness. We compared results obtained using infrared illumination with those obtained using visible light as PPGI illumination and calculated both time-domain as well as frequency-domain HRV parameters. The results achieved with infrared illumination were on par with those using conventional illumination in the visible spectrum. We concluded that infrared illumination enables unobtrusive and non-contact remote HRV measurement in both darkness as well as regular daylight conditions using PPGI.
引用
收藏
页码:846 / 849
页数:4
相关论文
共 50 条
  • [21] Non-contact Methods for Heart Rate Measurement: A Review
    Kaur, Gaganjot
    Kilby, Jeff
    2021 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS 2021), 2021, : 289 - 294
  • [22] An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation
    Boccignone, Giuseppe
    D'Amelio, Alessandro
    Ghezzi, Omar
    Grossi, Giuliano
    Lanzarotti, Raffaella
    SENSORS, 2023, 23 (07)
  • [23] Fair non-contact blood pressure estimation using imaging photoplethysmography
    Fang, Hongli
    Xiong, Jiping
    He, Linying
    BIOMEDICAL OPTICS EXPRESS, 2024, 15 (04): : 2133 - 2151
  • [24] Remote photoplethysmography for heart rate measurement: A review
    Xiao, Hanguang
    Liu, Tianqi
    Sun, Yisha
    Li, Yulin
    Zhao, Shiyi
    Avolio, Alberto
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 88
  • [25] A Study on the Possibility of Measuring the Non-contact Galvanic Skin Response Based on Near-Infrared Imaging
    Jo, Geumbi
    Lee, Seunggeon
    Lee, Eui Chul
    INTELLIGENT HUMAN COMPUTER INTERACTION, PT I, 2021, 12615 : 110 - 119
  • [26] Non-Contact Heart Rate Estimation From Photoplethysmography Using EEMD and Convolution-Transformer Network
    Liu, Kehong
    Wu, Shuo
    Li, Tianhuan
    Gou, Shuiping
    Wang, Xinlin
    Guo, Zhang
    2024 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS, CIVEMSA 2024, 2024,
  • [27] Efficacy of Non-contact BallistocardiographySystem to Determine Heart Rate Variability
    Parchani, Gaurav
    Kumar, Gulshan
    Rao, Raghavendra
    Udupa, Kaviraja
    Saran, Vibhor
    ANNALS OF NEUROSCIENCES, 2022, 29 (01) : 16 - 20
  • [28] Robust non-contact peripheral oxygenation saturation measurement using smartphone-enabled imaging photoplethysmography
    Sun, Zhiyuan
    He, Qinghua
    Li, Yuandong
    Wang, Wendy
    Wang, Ruikang K.
    BIOMEDICAL OPTICS EXPRESS, 2021, 12 (03) : 1746 - 1760
  • [29] Remote Pulse Rate Measurement From Near-Infrared Videos
    Park, Sang Bae
    Kim, Gyehyun
    Baek, Hyun Jae
    Han, Jong Hee
    Kim, Joon Ho
    IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (08) : 1271 - 1275
  • [30] Sliding spectral correlation analysis of non-contact photoplethysmography signals for assessment of heart rate
    Labunets, L. V.
    Ryakhina, M. Yu.
    BIOMEDICAL ENGINEERING, 2023, 57 (04) : 265 - 270