K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm
In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and R...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/9993589 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850218949360222208 |
|---|---|
| author | Yan Gao |
| author_facet | Yan Gao |
| author_sort | Yan Gao |
| collection | DOAJ |
| description | In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and RFC can be used to identify the psychological changes of the elderly under different degrees of stress. The research results show that the LR and RFC models have a better recognition effect on psychological stress when comparing with the KNN model. When the psychological stress is high, the test accuracy of the KNN model is 84.51%. The accuracy of stress recognition was 93.45%, and the accuracy of RFC’s recognition of psychological stress was 93.88%. |
| format | Article |
| id | doaj-art-794e49a9708742ef94a77b20dee16ccc |
| institution | OA Journals |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-794e49a9708742ef94a77b20dee16ccc2025-08-20T02:07:32ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/9993589K-Means Algorithm to Identify the Elderly Psychological Stress Analysis AlgorithmYan Gao0HaiKou University of EconomicsIn order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and RFC can be used to identify the psychological changes of the elderly under different degrees of stress. The research results show that the LR and RFC models have a better recognition effect on psychological stress when comparing with the KNN model. When the psychological stress is high, the test accuracy of the KNN model is 84.51%. The accuracy of stress recognition was 93.45%, and the accuracy of RFC’s recognition of psychological stress was 93.88%.http://dx.doi.org/10.1155/2022/9993589 |
| spellingShingle | Yan Gao K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm Advances in Multimedia |
| title | K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm |
| title_full | K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm |
| title_fullStr | K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm |
| title_full_unstemmed | K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm |
| title_short | K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm |
| title_sort | k means algorithm to identify the elderly psychological stress analysis algorithm |
| url | http://dx.doi.org/10.1155/2022/9993589 |
| work_keys_str_mv | AT yangao kmeansalgorithmtoidentifytheelderlypsychologicalstressanalysisalgorithm |