For a long time, cardiologists have primarily relied on data recorded by electrocardiogram (ECG) machines or used stethoscopes to listen to the sounds of the beating heart to make preliminary diagnoses of cardiac diseases. However, due to equipment limitations in the past, it was difficult to synchronously analyze and measure ECG and heart sound signals. Through technology licensing and collaboration with Inovise Medical, Inc. of the United States, APODX TECHNOLOGY, INC. has successfully developed the "Zhen-Tie-Xin" wearable medical device and fully mastered the world-leading coaxial automatic analysis technology for heart sounds and ECG.

General Manager Yang Zijie further stated, "This technology combines the hardware manufacturing strength of Leadtek Research Inc. with the data integration capabilities of amorRunner Cloud. We believe we can vigorously promote this detection technology, enabling more patients to receive early treatment or prevent the onset of illness, and even accurately track their recovery." It acts just like a "caring" guardian.

Multi-physiological Signal Acquisition Terminal - Zhen-Tie-Xin
1. Single-lead ECG signal: Provides analysis for arrhythmia and autonomic nervous system (HRV) health.
2. High-sensitivity heart sound collection: Provides assessment of cardiac systolic function and hemodynamics.
3. Chest wall movement/breathing sounds: Monitors respiration depth and snoring status.
4. Physical activity and posture: Tracks physical activity levels and sleep quality.
5. Wireless transmission or offline recording: Offers two usage modes—real-time monitoring or long-term recording and analysis.
6. High waterproof rating: Worry-free 24-hour wear.
(The content above was translated by AI.)

1. RootiCare
2. Rooti Rx

"Guard Patch" series of products

The platform allows physiological data collected through wearable devices or portable medical equipment to be uploaded to the cloud and linked with hospital information systems. It enables all‑day consultation and health‑management services via regional s