Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data

Non-contact sensors are gaining popularity in clinical settings to monitor the vital parameters of patients. In this study, we used a non-contact sensor device to monitor vital parameters like the heart rate, respiration rate, and heart rate variability of hemodialysis (HD) patients for a period of...

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Detalles Bibliográficos
Autores principales: Thakur, Saurabh Singh, Abdul, Shabbir Syed, Chiu, Hsiao-Yean (Shannon), Roy, Ram Babu, Huang, Po-Yu, Malwade, Shwetambara, Nursetyo, Aldilas Achmad, Li, Yu-Chuan (Jack)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163638/
https://www.ncbi.nlm.nih.gov/pubmed/30150592
http://dx.doi.org/10.3390/s18092833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163638/
https://www.ncbi.nlm.nih.gov/pubmed/30150592
http://dx.doi.org/10.3390/s18092833

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