IoT Enabled EMG Signal Management System for Instant Patient Alerts

Abstract

Current challenges in healthcare involve the delayed detection of critical events due to the lack of real-time capabilities in traditional EMG signal processing systems. To overcome this, our solution integrates IoT technology to capture, process, and transmit EMG data in real-time. Key objectives include the development of real-time EMG signal processing algorithms, secure IoT communication channels, and an effective alert mechanism to notify healthcare providers of clinically significant events. Challenges such as data security, privacy, and device compatibility are addressed to meet healthcare industry standards. The envisioned outcome is an advanced IoT-enabled EMG signal management system that ensures prompt alerts, facilitating the guardian to remotely monitoring the patient with neuromuscular disorders.