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Automatic classifier based on heart rate variability to identify fallers among hypertensive subjects
Accidental falls are a major problem of later life. Different technologies to predict falls have been investigated, but with limited success, mainly because of low specificity due to a high false positive rate. This Letter presents an automatic classifier based on heart rate variability (HRV) analys...
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| 出版年: | Healthc Technol Lett |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Institution of Engineering and Technology
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4612540/ https://ncbi.nlm.nih.gov/pubmed/26609412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2015.0012 |
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