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- W3100282704 abstract "Parkinson's disease individuals have been stressed and shown difficulty in emotion recognition and facial expression with increasing cognitive decline. In recent years, various studies have been conducted in emotion recognition of Parkinson's disease patients. In many research works, emotional state assessment using facial expression and EEG-based stimuli were used for emotion recognition study. In this paper, a review of electroencephelogram (EEG)-based emotion recognition in Parkinson's disease and its various research analyses in the past two decades have been analysed. Most of the papers have investigated total of six emotions in Parkinson's disease study such as happiness, sadness, fear, anger, surprise, and disgust to evaluate the emotion difficulties in Parkinson's disease people." @default.
- W3100282704 created "2020-11-23" @default.
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- W3100282704 date "2020-01-01" @default.
- W3100282704 modified "2023-09-25" @default.
- W3100282704 title "A review on emotion recognition in Parkinson's disease using bioinformatics" @default.
- W3100282704 doi "https://doi.org/10.1504/ijmei.2020.111028" @default.
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