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Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients
BACKGROUND: Remote monitoring of heart failure (HF) patients using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of electrical and mechanical aspects of cardiac function i...
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| Publicado en: | Circ Heart Fail |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5769154/ https://ncbi.nlm.nih.gov/pubmed/29330154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCHEARTFAILURE.117.004313 |
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