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

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
Main Authors: Saurabh Singh Thakur, Shabbir Syed Abdul, Hsiao-Yean (Shannon) Chiu, Ram Babu Roy, Po-Yu Huang, Shwetambara Malwade, Aldilas Achmad Nursetyo, Yu-Chuan (Jack) Li
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
Online Access:http://www.mdpi.com/1424-8220/18/9/2833

Internet

http://www.mdpi.com/1424-8220/18/9/2833

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