A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis
Liu, Zeyu1,2; Cheng, Long1,2; Li, Zhengwei1,2
发表期刊IEEE SENSORS JOURNAL
ISSN1530-437X
2023-09-15
卷号23期号:18页码:21821-21831
通讯作者Cheng, Long(long.cheng@ia.ac.cn)
摘要Wrist pulse contains much information about human beings, a typical pulse wave contains four significant morphological features which are related to the cardiovascular system and can be used for disease diagnosis. A high-quality wrist pulse measurement system is essential for the medical application of wrist pulses. In this work, a high-quality wrist pulse measurement system based on a pressure sensor is proposed. The measurement system has a maximum signal-to-noise ratio (SNR) of 53.44 dB and satisfactory ability to resist environmental interferences. The system is applied to measure the wrist pulse signals of seven participants under different emotions, and the signal quality is assessed in three signal quality indices (SQIs): the skewness, the kurtosis, and the perfusion index. The collected dataset presents a better performance in all three SQIs than the DEAP dataset. The measured high-quality wrist pulse data are applied in emotion classification by a long short term memory (LSTM)-gated recurrent unit (GRU) Boosting neural network. The emotion classification accuracy is 89.71% in valence and 80.06% in arousal. We also find that features extracted by the proposed neural network have a strong connection with three morphological features of the wrist pulse, and we show the medical implication of these three morphological features with emotion.
关键词Emotion analysis photoelectric effect pressure sensor pulse pulse wave assessment wearable devices
DOI10.1109/JSEN.2023.3299571
关键词[WOS]HEART-RATE-VARIABILITY ; SENSOR ; MODEL
收录类别SCI
语种英语
资助项目National Key Research and Development Program[2021ZD0114503] ; National Natural Science Foundation of China[62025307] ; National Natural Science Foundation of China[62311530097]
项目资助者National Key Research and Development Program ; National Natural Science Foundation of China
WOS研究方向Engineering ; Instruments & Instrumentation ; Physics
WOS类目Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS记录号WOS:001090399700137
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/54323
专题多模态人工智能系统全国重点实验室
通讯作者Cheng, Long
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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Liu, Zeyu,Cheng, Long,Li, Zhengwei. A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis[J]. IEEE SENSORS JOURNAL,2023,23(18):21821-21831.
APA Liu, Zeyu,Cheng, Long,&Li, Zhengwei.(2023).A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis.IEEE SENSORS JOURNAL,23(18),21821-21831.
MLA Liu, Zeyu,et al."A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis".IEEE SENSORS JOURNAL 23.18(2023):21821-21831.
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