A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis
文献类型：期刊论文
| 作者 | Liu, Zeyu1,2 ; Cheng, Long1,2; Li, Zhengwei1,2
|
| 刊名 | IEEE SENSORS JOURNAL
 |
| 出版日期 | 2023-09-15 |
| 卷号 | 23期号:18页码:21821-21831 |
| 关键词 | Emotion analysis photoelectric effect pressure sensor pulse pulse wave assessment wearable devices |
| ISSN号 | 1530-437X |
| DOI | 10.1109/JSEN.2023.3299571 |
| 通讯作者 | Cheng, Long(long.cheng@ia.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | HEART-RATE-VARIABILITY ; SENSOR ; MODEL |
| 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] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001090399700137 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54322]  |
| 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.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：自动化研究所
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