A Standalone Heart Screening Device emerges as a solution to the public's need for frequent heart monitoring and the hospitals' imperative to reduce patient loads while supporting clinical staff efficiency. Utilizing advanced technologies like Artificial Intelligence, Machine Learning, and Internet-of-Medical-Things, this device enables real-time detection of heart rhythm abnormalities.
Public need to frequently monitor their heart for early heart disease detection. Besides, hospitals and clinical Staff need to reduce the patient load, and clinicians need clinical decision support system to work more effectively and efficiently.
Standalone Heart Screening Device with Real-Time Heart Rhythm Abnormality Detection including Artificial Intelligence (AI) – Machine Learning, Multi-Processor System-on-Chip (MPSoC), Field Programmable Gate Array (FPGA), and Internet-of-Medical-Things (IoMT).
To address the public's need for frequent heart monitoring and reduce the burden on hospitals and clinical staff, a Standalone Heart Screening Device has been developed. This device utilizes advanced technologies like Artificial Intelligence, Machine Learning, and Internet-of-Medical-Things for real-time heart rhythm abnormality detection. It offers a range of benefits, including 9-in-1 heart rhythm self-detection, high accuracy, rapid detection, and portability with user-friendly features. With its innovative approach, it aims to improve heart care services and reduce medical costs while competing with other devices in the market.
A single standalone device capable of 9-in-1 heart rhythm self-detection, high accuracy (exceeding 90%), rapid detection (less than 1 second for a 10-second ECG), support for "Double protection, " and a portable device with a bilingual and user-friendly GUI for layman users.