Flexible printed dry electrode sensors offer greater comfort compared to wet electrodes. They overcome the signal quality challenges of dry electrodes, acquiring high-quality bioelectrical signals and are suitable for flexible customization.

It perfectly integrates the ultimate comfort of clothing with sensor technology and cloud data management to achieve accurate data, comfortable wear, and suitability for long-term use.

The artificial intelligence electrocardiogram signal diagnostic algorithm, jointly developed with authoritative institutions, can accurately analyze and identify data.

A respiratory signal acquisition, storage, and transmission device, and the world's smallest ECG transmitter. Low power consumption, long-term acquisition.

Data is collected via hardware devices and then uploaded to the cloud for storage, ensuring information confidentiality and security. This enables doctors to remotely manage patients' health via the cloud.

A large number of ECG cases annotated by doctors have formed a valuable data accumulation. Combined with the interpretation of top domestic cardiovascular experts, the algorithm has been iteratively optimized.