Wearable Ambulatory Technique for Biomedical Signals Processing Based on Embedded Systems and IoT

  • Dr. Haitham Abbas Khalaf et. al

Abstract

ECG (Electrocardiography) is a powerful tool that reflects direct heart activities and gives high time accuracy. The traditional method of acquiring heart signals requires the presence of electrodes directly related to the patient chest using gelatin after processing the chest skin for the communication process through network electrodes. The internet of things (IoT) seen as the future promising technology for various applications. Monitoring the physiological signs of cardiac patient is one of the most important tasks. In this article, a real-time ECG signal acquisition and processing system are presented to observe the patients in different environments based on IoT. The captured ECG signal are transferred to LabVIEW software. For further safety, to ensure ECG signal transmission from the patient to the physicians without distortion, a Blynk server and its software are utilized in this system. In this article, the ambulatory and wearable system for real-time ECG signals processing is presented to observe the patients in different environments. The captured ECG signal is transferred to LabVIEW software for more analysis, transferred signals to the physicians for  patient's diagnosis real time.

Published
2020-02-02
How to Cite
et. al, D. H. A. K. (2020). Wearable Ambulatory Technique for Biomedical Signals Processing Based on Embedded Systems and IoT. International Journal of Advanced Science and Technology, 29(04), 360 - 371. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/4570