Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring?

被引:5
|
作者
Sheridan, David C. [1 ,2 ]
Domingo, Karyssa N. [1 ]
Dehart, Ryan [1 ]
Baker, Steven D. [1 ]
机构
[1] Oregon Hlth & Sci Univ, Dept Emergency Med, Portland, OR 97201 USA
[2] Oregon Hlth & Sci Univ, Ctr Policy & Res Emergency Med, Portland, OR 97201 USA
来源
FRONTIERS IN PSYCHIATRY | 2021年 / 12卷
关键词
heart rate variability; suicidality; wearable technology; anxiety; outpatient; NERVOUS-SYSTEM; STRESS;
D O I
10.3389/fpsyt.2021.682553
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Heart rate variability (HRV) evaluates beat-to-beat interval (BBI) differences and is a suggested marker of the autonomic nervous system with diagnostic/monitoring capabilities in mental health; especially parasympathetic measures. The standard duration for short-term HRV analysis ranges from 24 h down to 5-min. However, wearable technology, mainly wrist devices, have large amounts of motion at times resulting in need for shorter duration of monitoring. The objective of this study was to evaluate the correlation between 1 and 5 min segments of continuous HRV data collected simultaneously on the same patient. Subjects wore a patch electrocardiograph (Cardea Solo, Inc.) over a 1-7 day period. For every consecutive hour the patch was worn, we selected a 5-min, artifact-free electrocardiogram segment. HRV metric calculation was performed to the entire 5-min segment and the first 1-min from this same 5-min segment. There were 492 h of electrocardiogram data collected allowing calculation of 492 5 min and 1 min segments. 1 min segments of data showed good correlation to 5 min segments in both time and frequency domains: root mean square of successive difference (RMSSD) (R = 0.92), high frequency component (HF) (R = 0.90), low frequency component (LF) (R = 0.71), and standard deviation of NN intervals (SDNN) (R = 0.63). Mental health research focused on parasympathetic HRV metrics, HF and RMSSD, may be accomplished through smaller time windows of recording, making wearable technology possible for monitoring.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Instantaneous monitoring of heart rate variability
    Barbieri, R
    Matten, EC
    Brown, EN
    PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 : 204 - 207
  • [22] Using Information Technology to Improve the Monitoring of Outpatient Prescribing
    Forster, Alan J.
    Auger, Claudine
    JAMA INTERNAL MEDICINE, 2013, 173 (05) : 382 - 384
  • [23] Heart Rate Variability and Activity Magnitude Measuring Wearable Heart Rate Sensor in Depression
    Komatsu, Yoko
    Koga, Norie
    Kimura, Hiroshi
    Shinozaki, Ryo
    Shimizu, Yusuke
    Kunugi, Hiroshi
    Transactions of Japanese Society for Medical and Biological Engineering, 2021, Annual59 (Proc): : 632 - 634
  • [24] TransformHR: A Novel Approach to Athlete Heart Rate Monitoring With Transformer-Based Wearable Technology
    Shen, Yunfeng
    INTERNET TECHNOLOGY LETTERS, 2024,
  • [25] Straight to the Heart Of Your Target Audience Personalized Advertising Systems Based On Wearable Technology and Heart-Rate Variability
    Orazi, Davide C.
    Nyilasy, Greg
    JOURNAL OF ADVERTISING RESEARCH, 2019, 59 (02) : 137 - 141
  • [26] An intelligent wearable embedded architecture for stress detection and psychological behavior monitoring using heart rate variability
    Murty, Patnala S. R. Chandra
    Anuradha, Chinta
    Naidu, P. Appala
    Balaswamy, C.
    Nagalingam, Rajeswaran
    Jagatheesaperumal, Senthil Kumar
    Ponnusamy, Muruganantham
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (05) : 8203 - 8216
  • [27] Continuous heart rate variability monitoring of freely moving chicken through a wearable electrocardiography recording system
    Ahmmed, P.
    Reynolds, J.
    Bozkurt, A.
    Regmi, P.
    POULTRY SCIENCE, 2023, 102 (02)
  • [28] Health Monitoring in Sport Through Wearable Sensors: A Novel Approach Based on Heart-Rate Variability
    Maranesi, E.
    Morettini, M.
    Agostinelli, A.
    Giuliani, C.
    Di Nardo, F.
    Burattini, L.
    MOBILE NETWORKS FOR BIOMETRIC DATA ANALYSIS, 2016, 392 : 235 - 246
  • [29] Methodological considerations in calculating heart rate variability based on wearable device heart rate samples
    Chen, Hung-Kai
    Hu, Yu-Feng
    Lin, Shien-Fong
    COMPUTERS IN BIOLOGY AND MEDICINE, 2018, 102 : 396 - 401
  • [30] Heart Rate Variability Control Using a Biofeedback and Wearable System
    Viera, Eduardo
    Kaschel, Hector
    Valencia, Claudio
    SENSORS, 2022, 22 (19)