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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Taehwan Roh Sunjoo Hong Hyunwoo Cho Hoi-Jun Yoo |
| Copyright Year | 2012 |
| Description | Author affiliation: KAIST, Daejeon, Korea (Taehwan Roh; Sunjoo Hong; Hyunwoo Cho; Hoi-Jun Yoo) |
| Abstract | Recently, there are many reports on the measurement of mental health conditions as derived from physiological parameters — see references in [1]. Usually, heart-rate or heart rate variability (HRV) has been used for monitoring mental health because of its strong dependency on the autonomic nervous system (ANS) [1–2]. Reference [1] reported that ECG, respiration, skin conductance and EMG data collected by means of wearable sensors was combined and analyzed to get 80% accurate detection of mental stress. Another important way to measure stress is by the combination of HRV and EEG. It is claimed that HRV, which represents the effect of ANS, and EEG, which is the primary signal of the central nervous system (CNS), should be analyzed together at the same time in order to extract accurate physiological markers for mental stress and disorder. Using this approach there was a report of stress detection with 90% confidence [3]. In contrast to the case of only HRV, however, this approach requires nonlinear analysis of EEG, which is possible only with a high performance computer system [4–5]. Therefore, no mobile device for stress assessment as derived from the combination of the EEG and HRV has been previously reported. |
| Starting Page | 294 |
| Ending Page | 296 |
| File Size | 656066 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781467303767 |
| ISSN | 01936530 |
| e-ISBN | 9781467303774 |
| DOI | 10.1109/ISSCC.2012.6177020 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electroencephalography Heart rate variability Stress Biomedical monitoring Scalp Monitoring Integrated circuits |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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