تشخیص استرس مربوط به کار با دستگاه پوشیدنی / Detecting work-related stress with a wearable device

تشخیص استرس مربوط به کار با دستگاه پوشیدنی Detecting work-related stress with a wearable device

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • ناشر : Elsevier
  • چاپ و سال / کشور: 2018

توضیحات

رشته های مرتبط  روانشناسی،سایبرنتیک پزشکی و مهندسی پزشکی
گرایش های مرتبط روانشناسی صنعتی و سازمانی، بیوالکتریک
مجله کامپیوترها در صنعت – Computers in Industry
دانشگاه Institute of Electronics – Chinese Academy of Sciences – China

منتشر شده در نشریه الزویر
کلمات کلیدی تشخیص تنش، محاسبه پوشیدنی، الکتروکاردیوگرام، تنفس، ماشین بردار پشتیبانی،

Description

1. Introduction Work-related stress has drawn great interest in modern society. In 2007, stress was identified to be one of the most common health problem inducements in the European Union [1]. The poor match between people’s working ability and demands leads to workrelated stress [2]. Moderate stress can stimulate people’s potential, while chronic and heavy stress may cause a series of negative effects including depression and even health problems, such as cardiovascular diseases, cerebrovascular diseases and musculoskeletal disorders [1–5]. Excessive workload and stress may make employees absent from job, which results in high economic costs [3]. If high work-related stress could be detected and monitored in time, it is less possible to cause health problems. Further, if the moderate level of stress could be recognized, it could help people maintain the appropriate working state. Therefore detection of different levels of stress is meaningful. Physiological response corresponds to psychological change and can’t be manipulated by people. The mechanism to maintain the body under a stable condition is realized by the autonomic nervous system (ANS), which contains sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS). It’s known that stress can activate the SNS [6]. And the PNS can bring the body back to a rest state. Intuitively, SNS activation increases the heart rate, whereas PNS decreases it. Activity of SNS and PNS can be monitored through some physiological signals, such as heart rate, heart rate variability (HRV), blood pressure and so on. Also, the respiration under stress is short and rapid, whereas it’s deep and slow at a rest state. In our study, we select ECG and respiration signal to measure stress.
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