Pulse Wave Analysis Method of Cardiovascular Parameters Extraction for Health Monitoring
Bibliographic Data
| ID | 15499139 |
|---|---|
| Authors | Ji Jin (0000-0002-3432-8253, Chinese Academy of Sciences), Xingguang Geng (0000-0002-7705-1936, Chinese Academy of Sciences), Yitao Zhang (0000-0002-6022-7720, Institute of Microelectronics), Haiying Zhang (0000-0001-6431-3637, Chinese Academy of Sciences, corresponding author), Tianchun Ye (0000-0002-2384-9037, Chinese Academy of Sciences) |
| Year | 2023 |
| Volume | 20 |
| Issue | 3 |
| Pages | 2597-2597 |
| Publication date | 2023-01-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20032597 |
| PMID | 36767962 |
| OpenAlex | W4318778348 |
| Language | EN |
| References cited | 1 |
This new method using waveform recognition shows promising results that can directly extract multiple cardiovascular parameters from waveforms with high accuracy. This new approach is efficient and effective and is very promising for future continuous monitoring of cardiovascular health
Classifier (UML · Data mining · Dynamic time warping · Pattern recognition (psychology · Waveform · Cardiovascular Health and Disease Prevention · Computer Science · Heart Rate Variability and Autonomic Control · Non-Invasive Vital Sign Monitoring · Artificial Intelligence
| Highly cited | No |
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