The Feasibility of Ambulatory Heart Rate Variability Monitoring in Non-Suicidal Self-Injury

IF 2.8 Q3 ENGINEERING, BIOMEDICAL Healthcare Technology Letters Pub Date : 2025-02-28 DOI:10.1049/htl2.70007
Alje van Hoorn, Anna Mankee-Williams, Gareth Lewis, Rafaella Mellili, Jessica Eccles, Cristina Ottaviani, Richard Laugharne, Rohit Shankar
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Abstract

The polyvagal theory proposes that the autonomic nervous system influences affective systems and top-down emotional regulation. Vagal tone, as indexed by heart rate variability (HRV), is a measure of emotion regulation capacity. It is possible that non-suicidal self-injury (NSSI) occurs at times of low vagal tone and that NSSI may increase it. Little is known about the feasibility of collecting ambulatory HRV data in the context of NSSI. This prospective observational study examined the feasibility of ambulatory HRV monitoring during NSSI. Ten participants wore a chest-based heart rate monitor and used a diary app for 1 week. Baseline characteristics were collected. Heart rate monitoring duration, diary app entries, distress scores, and NSSI occurrences were recorded. Participant experience was assessed in a post-study questionnaire. At baseline, six had a history of NSSI, in two of whom it was current. Ten participants wore the monitor for an average of 137 h. Nine participants successfully used the diary app, making an average of 14 entries over a week. Although no NSSI occurred during the study, the overall experience of participation was positive. It is feasible to monitor HRV and collect app-based distress scores for a week, including in those with NSSI history.

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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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