“Smart Clothing” Technology for Heart Function Monitoring During a Session of “Dry” Immersion

The study aimed at obtaining a precise view of the modification of heart rate variability (HRV) and respiratory rate with the help of “smart clothes” (the Hexoskin Smart Shirt, Hexoskin Smart Sensors & AI, Montreal, QC, Canada) during a 45 min session of “dry” immersion (DI), which is considered a model of Earth-based weightlessness. Eight healthy subjects aged 19 to 21 years participated in the study. Hexoskin Smart Shirt provided a .wav sound file. For analysis, the ecg_peaks function of the neurokit2 library was applied. HRV parameters were calculated within 5 min segments with the help of the pyHRV toolbox. Time-domain (HR and SDNN) and frequency-domain (HF, LF, and VLF) HRV parameters, sample, and approximate entropy were calculated. Thus, the “smart cloth” technology appears as a reliable telemetric instrument to monitor cardiac and respiratory regulation during the DI session.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.3390/ecsa-11-20475
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

“Smart Clothing” Technology for Heart Function Monitoring During a Session of “Dry” Immersion

М. И. Герасимова, Liudmila Gerasimova-Meigal, Anna Sklyarova, Vyacheslav Dimitrov et al.
Non-Invasive Vital Sign Monitoring
article

“Smart Clothing” Technology for Heart Function Monitoring During a Session of “Dry” Immersion

М. И. Герасимова, Liudmila Gerasimova-Meigal, Anna Sklyarova, Vyacheslav Dimitrov, A. Yu. Meigal
article en

Abstract

The study aimed at obtaining a precise view of the modification of heart rate variability (HRV) and respiratory rate with the help of “smart clothes” (the Hexoskin Smart Shirt, Hexoskin Smart Sensors & AI, Montreal, QC, Canada) during a 45 min session of “dry” immersion (DI), which is considered a model of Earth-based weightlessness. Eight healthy subjects aged 19 to 21 years participated in the study. Hexoskin Smart Shirt provided a .wav sound file. For analysis, the ecg_peaks function of the neurokit2 library was applied. HRV parameters were calculated within 5 min segments with the help of the pyHRV toolbox. Time-domain (HR and SDNN) and frequency-domain (HF, LF, and VLF) HRV parameters, sample, and approximate entropy were calculated. Thus, the “smart cloth” technology appears as a reliable telemetric instrument to monitor cardiac and respiratory regulation during the DI session.

Petrozavodsk State University (RU)
Openalex Percentile: Top 77%
Non-Invasive Vital Sign Monitoring
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