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Activity Based Remote Health Monitoring System
4th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2022 ; : 184-189, 2022.
Article in English | Scopus | ID: covidwho-2213222
ABSTRACT
Healthcare sectors are majorly moving towards Remote Health Monitoring Systems (RHMS) after the COVID-19 pandemic outbreak across the world. RHMS involves monitoring the patient's vital parameters remotely and providing advice and consultation online. Alerts are generated whenever a particular health parameter exceeds the threshold and sent to the medical officers for further actions. However, it is observed that these thresholds are applicable only when a patient is at rest and can change drastically during patient's physical activity such as walking, climbing the staircase, during exercise etc., which can mislead in understanding the patient's health condition. Hence there is a requirement to correlate these parameter values with the current activity the patient is in and to generate activity-based dynamic thresholds. In this paper, a method to correlate the sensor values with physical activities is proposed. The activity-based RHMS (aRHMS) uses the motion sensors available in the patient's smartphone to predict the activity and will automatically adjust the threshold values in co-relation with the activities and provides alarms/alerts accordingly. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2022 Year: 2022 Document Type: Article