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

被引:6
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
  • [41] Heart rate variability and heart rate monitoring of nurses using PPG and ECG signals during working condition: A pilot study
    Li, Xinxia
    Hu, Chenghong
    Meng, Airong
    Guo, Yanmei
    Chen, Yang
    Dang, Rongqing
    HEALTH SCIENCE REPORTS, 2022, 5 (01)
  • [42] Noncontact Monitoring of Heart Rate and Heart Rate Variability in Geriatric Patients Using Photoplethysmography Imaging
    Yu, Xinchi
    Laurentius, Thea
    Bollheimer, Cornelius
    Leonhardt, Steffen
    Antink, Christoph Hoog
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (05) : 1781 - 1792
  • [43] Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs
    Foster, Marc
    Mealin, Sean
    Gruen, Margaret
    Roberts, David L.
    Bozkurt, Alper
    2019 IEEE SENSORS, 2019,
  • [44] Validation of a novel wearable device to estimate heart rate variability and cardiorespiratory indexes
    Morales, John
    Blanco Almazan, Dolores
    Catthoor, Francky
    Groenendaal, Willemijn
    Jane, Raimon
    2024 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS, MEMEA 2024, 2024,
  • [45] Simultaneous monitoring of activity and heart rate variability in depressed patients: A pilot study using a wearable monitor for 3 consecutive days
    Koga, Norie
    Komatsu, Yoko
    Shinozaki, Ryo
    Ishida, Ikki
    Shimizu, Yusuke
    Ishimaru, Sonoko
    Kunugi, Hiroshi
    NEUROPSYCHOPHARMACOLOGY REPORTS, 2022, 42 (04) : 457 - 467
  • [46] Assessing the Clinical Utility of a Wearable Device for Physiological Monitoring of Heart Rate Variability in Military Service Members with Traumatic Brain Injury
    Uomoto, Jay M.
    Skopp, Nancy
    Jenkins-Guarnieri, Michael
    Reini, Josh
    Thomas, Drew
    Adams, Robert J.
    Tsui, Megan
    Miller, Shaun R.
    Scott, Beverly R.
    Pasquina, Paul F.
    TELEMEDICINE AND E-HEALTH, 2022, 28 (10) : 1496 - 1504
  • [47] Ultra-Short-Term Analysis of Heart Rate Variability for Real-time Acute Pain Monitoring with Wearable Electronics
    Jiang, Mingzhe
    Mieronkoski, Riitta
    Rahmani, Amir M.
    Hagelberg, Nora
    Salantera, Sanna
    Liljeberg, Pasi
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1025 - 1032
  • [48] Noninvasively Monitoring and Assessing the Physiological Changes by Heart Rate Variability
    Wu, Yuxiang
    Song, Tao
    Xu, Guodong
    ACTA MICROSCOPICA, 2018, 27 (03): : 209 - 213
  • [49] A Flexible Dry ECG Patch for Heart Rate Variability Monitoring
    Ahmad, Meraj
    Malik, Shahid
    Somappa, Laxmeesha
    Sonkusale, Sameer
    Baghini, Maryam Shojaei
    2020 IEEE INTERNATIONAL CONFERENCE ON FLEXIBLE AND PRINTABLE SENSORS AND SYSTEMS (IEEE FLEPS 2020), 2020,
  • [50] Contactless Monitoring of Heart Rate Variability During Respiratory Maneuvers
    Shoushan, Monay Mokhtar
    Reyes, Bersain A.
    Mejia Rodriguez, Aldo Rodrigo
    Chong, Jo Woon
    IEEE SENSORS JOURNAL, 2022, 22 (14) : 14563 - 14573