TY - GEN
T1 - Design and implementation of platform for collecting physiological and psychological data for mood status inference
AU - Yen, Wei Ting
AU - Chung, Kuo Hsuan
AU - Lin, Linen
AU - Chang, Yue Shan
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by the Ministry of Science and Technology of Taiwan, the Republic of China under Grant No. MOST 108-2221-E-305 -013 -MY3.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/26
Y1 - 2021/8/26
N2 - The assessment of mental state is an important issue for diagnosing whether people getting depressed or not. The general assessment tool is to use the Hamilton Depression Rating Scale (HAM-D). In general, psychiatrist utilizes Monthly Mood Chart (MMC) to collect and infer the mental state during the treatment for assessing whether the symptoms relieved or not. But, the MMC is a kind of psychology data. Recently, there is research has developed to evaluate individual emotional and mental state in the way of fusion of psychology and physiology. Therefore, how to effectively and conveniently collect patient's psychological and physiological data to integrate them together has become an important issue. In this paper, we design and implement a platform for collecting data and inferring mental state; the data includes patients' physiological and psychological data, such as Electroencephalography (EEG), Heart Rate Variability (HRV), and MMC. The platform can automatically infer emotional state and provide it to psychiatrists for assessment. This platform is cooperating with psychiatrists in two hospitals and would like to obtain approval. It can be used for the diagnosis of future mental illnesses.
AB - The assessment of mental state is an important issue for diagnosing whether people getting depressed or not. The general assessment tool is to use the Hamilton Depression Rating Scale (HAM-D). In general, psychiatrist utilizes Monthly Mood Chart (MMC) to collect and infer the mental state during the treatment for assessing whether the symptoms relieved or not. But, the MMC is a kind of psychology data. Recently, there is research has developed to evaluate individual emotional and mental state in the way of fusion of psychology and physiology. Therefore, how to effectively and conveniently collect patient's psychological and physiological data to integrate them together has become an important issue. In this paper, we design and implement a platform for collecting data and inferring mental state; the data includes patients' physiological and psychological data, such as Electroencephalography (EEG), Heart Rate Variability (HRV), and MMC. The platform can automatically infer emotional state and provide it to psychiatrists for assessment. This platform is cooperating with psychiatrists in two hospitals and would like to obtain approval. It can be used for the diagnosis of future mental illnesses.
KW - Depression
KW - EEG
KW - HRV
KW - Mood state inference
KW - Physiological
KW - Psychological
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U2 - 10.1109/ICSSE52999.2021.9538438
DO - 10.1109/ICSSE52999.2021.9538438
M3 - Conference contribution
AN - SCOPUS:85116188095
T3 - Proceedings of 2021 International Conference on System Science and Engineering, ICSSE 2021
SP - 427
EP - 432
BT - Proceedings of 2021 International Conference on System Science and Engineering, ICSSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on System Science and Engineering, ICSSE 2021
Y2 - 26 August 2021 through 28 August 2021
ER -
