Monitoring peripheral edema of heart failure patients at home: Device, algorithm, and clinic study

Jianchu Yao, Elizabeth M.B. Weaver, Brandon D. Langley, Stephanie M. George, Sonya R. Hardin

Producción científica: Conference contribution

2 Citas (Scopus)

Resumen

Continuous monitoring of heart failure (HF) patients is desirable in order to better manage their illness and reduce unnecessary hospitalization. A comprehensive cloud-based HF patient management system is proposed to collect patients' health status information and provide just-in-time intervention. To date, an HF patient edema monitoring system prototype, including the device and its algorithm, has been developed. The hardware features multiple sensors whose data are fused using an edema classification algorithm based on a standard linear solid (SLS) edematous tissue model. Clinical data have been collected and analyzed to verify the effectiveness of the hardware and software. While the analysis results show some promise, full validation of the device and the algorithm warrant further study.

Idioma originalEnglish (US)
Título de la publicación alojada2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtítulo de la publicación alojadaSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4074-4077
Número de páginas4
ISBN (versión digital)9781509028092
DOI
EstadoPublished - sept 13 2017
Publicado de forma externa
Evento39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duración: jul 11 2017jul 15 2017

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
País/TerritorioKorea, Republic of
CiudadJeju Island
Período7/11/177/15/17

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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