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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Bibliographic Details
Published in:Sensors (Basel)
Main Authors: 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)
Format: Artigo
Language:Inglês
Published: MDPI 2018
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6163638/
https://ncbi.nlm.nih.gov/pubmed/30150592
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092833
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