2022
DOI: 10.3390/s22228664
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Gated Recurrent Unit Network for Psychological Stress Classification Using Electrocardiograms from Wearable Devices

Abstract: In recent years, research on human psychological stress using wearable devices has gradually attracted attention. However, the physical and psychological differences among individuals and the high cost of data collection are the main challenges for further research on this problem. In this work, our aim is to build a model to detect subjects’ psychological stress in different states through electrocardiogram (ECG) signals. Therefore, we design a VR high-altitude experiment to induce psychological stress for th… Show more

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Cited by 4 publications
(2 citation statements)
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“…This increase in wearable usage has also been seen in industrial environments, which is motivated by the current trend of Industry 4.0 [ 11 ], promoting the use of sensors to monitor in real-time their machines for damage prevention, and their workers for occupational-related disorder prevention and productivity improvements [ 12 , 13 ]. Research areas such as intelligent rehabilitation [ 14 , 15 , 16 , 17 , 18 , 19 ], advanced sensing technologies [ 20 ], orthotics [ 21 , 22 , 23 , 24 ], sports science [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 ], activity modelling [ 36 , 37 , 38 , 39 , 40 ], exoskeletons [ 41 , 42 ], psychological stress classification [ 43 ], machine learning edutainment [ 44 ], surgical index monitoring [ 45 , 46 ], and fall detection [ 47 , 48 , 49 ], have also leveraged the power of biosignals from wearables.…”
Section: Related Literaturementioning
confidence: 99%
“…This increase in wearable usage has also been seen in industrial environments, which is motivated by the current trend of Industry 4.0 [ 11 ], promoting the use of sensors to monitor in real-time their machines for damage prevention, and their workers for occupational-related disorder prevention and productivity improvements [ 12 , 13 ]. Research areas such as intelligent rehabilitation [ 14 , 15 , 16 , 17 , 18 , 19 ], advanced sensing technologies [ 20 ], orthotics [ 21 , 22 , 23 , 24 ], sports science [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 ], activity modelling [ 36 , 37 , 38 , 39 , 40 ], exoskeletons [ 41 , 42 ], psychological stress classification [ 43 ], machine learning edutainment [ 44 ], surgical index monitoring [ 45 , 46 ], and fall detection [ 47 , 48 , 49 ], have also leveraged the power of biosignals from wearables.…”
Section: Related Literaturementioning
confidence: 99%
“…Authors of [ 18 ] successfully modeled subjects’ psychological stress in different states through electrocardiogram (ECG) signals during a virtual reality high-altitude experiment. Participants wore in-house-designed smart T-shirts with embedded multiple sensors to complete different tasks.…”
Section: Overview Of the Contributionsmentioning
confidence: 99%