Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring?
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 d...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-06-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.682553/full |
| _version_ | 1818670951038976000 |
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| author | David C. Sheridan David C. Sheridan Karyssa N. Domingo Ryan Dehart Steven D. Baker |
| author_facet | David C. Sheridan David C. Sheridan Karyssa N. Domingo Ryan Dehart Steven D. Baker |
| author_sort | David C. Sheridan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T07:16:15Z |
| format | Article |
| id | doaj.art-754292a6f70a419baf069dda807c883e |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-17T07:16:15Z |
| publishDate | 2021-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-754292a6f70a419baf069dda807c883e2022-12-21T21:58:54ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-06-011210.3389/fpsyt.2021.682553682553Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring?David C. Sheridan0David C. Sheridan1Karyssa N. Domingo2Ryan Dehart3Steven D. Baker4Department of Emergency Medicine, Oregon Health & Science University, Portland, OR, United StatesCenter of Policy and Research in Emergency Medicine, Oregon Health & Science University, Portland, OR, United StatesDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR, United StatesDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR, United StatesDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR, United StatesHeart 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.682553/fullheart rate variabilitysuicidalitywearable technologyanxietyoutpatient |
| spellingShingle | David C. Sheridan David C. Sheridan Karyssa N. Domingo Ryan Dehart Steven D. Baker Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? Frontiers in Psychiatry heart rate variability suicidality wearable technology anxiety outpatient |
| title | Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? |
| title_full | Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? |
| title_fullStr | Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? |
| title_full_unstemmed | Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? |
| title_short | Heart Rate Variability Duration: Expanding the Ability of Wearable Technology to Improve Outpatient Monitoring? |
| title_sort | heart rate variability duration expanding the ability of wearable technology to improve outpatient monitoring |
| topic | heart rate variability suicidality wearable technology anxiety outpatient |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.682553/full |
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