Hospital visits are expensive and inconvenient for patients, but at-home monitoring is intermittent at best. Today’s medical wearables only record the patients’ biometric data, to be sent to the doctor a few weeks later for analysis – missing critical alerts that can sometimes mean life-and-death.
- Due to their compact form factor, wearable devices are highly constrained in processing power, memory size, and battery life.
- Current medical wearables such as ECG patches cannot provide real-time continuous monitoring & analysis.
- Qeexo can downsize machine learning models, allowing them to run on ultra-low-power MCUs without sacrificing accuracy.
- These “tinyML” models enable wearable devices/patches to monitor patient’s heart condition continuously on a coin-cell battery.