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Updated: Dec 17, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Continuous Monitoring and Statistical Modelling of Heart Rate Variability
Adina Nitulescu1, Mihaela Crisan-Vida1, Lacramioara Stoicu-Tivadar1
1Faculty of Automation, and Computers, University Politehnica of Timisoara, Romania.
Abstract:
The paper presents a sensor network system implemented to continuously monitor and detect cardiovascular diseases experienced in patients at high-risk. The device is designed to capture and transmit the ECG signals and pulse to the patientÂťs mobile phone. Later interpretation of the single-lead ECG signals will result into a HRV analysis and heart-rate detection that is compared with the pulse oximeter results for validation. The fastest alert will be issued to doctors, relatives and hospitals, using the proposed data processing algorithm implemented in the patient's mobile phone. The continuous usage of this monitoring system provides an effective, efficient and fast health care service to patients at risk, even if the doctors or relatives are not near the patients.
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