Smart Patient Monitoring Using AI: A Breakthrough Real-Time ECG System for Multiple Patients
Smart Patient Monitoring Using AI: A Breakthrough Real-Time ECG System for Multiple Patients Sung-Jin Ahn, Jong Doo Choi, Hoo-Hyun Kim, GyungChul Kim, Hee-Seok Song and Young-Shin Lee Keywords : AI ECG monitoring, real-time patient monitoring, wearable health devices, arrhythmia detection, IoT in healthcare, parallel data processing, cardiac care innovation Introduction The rise of cardiovascular disease (CVD) as a leading cause of global mortality demands smarter, faster, and more scalable healthcare interventions. As hospitals and clinics seek to manage growing patient loads with limited resources, real-time ECG monitoring powered by artificial intelligence (AI) has emerged as a transformative solution. A recent groundbreaking study titled “Smart Patient Monitoring: AI-Driven Real-Time System for Multiple Patients” presents a next-generation ECG monitoring architecture that enables efficient, low-latency, and high-accuracy cardiac surveillance across multiple hospitalized...