This technology is used micro-electro-mechanical systems combined nanomaterials and micro-heater systems, because the interdisciplinary integrated manufacturing technologies are used to make miniaturized sensor elements, which are equipped with bluetooth functions of algorithms and detection devices to monitor the ketones gas concentration during patient breathing applied in healthy care.

An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.

Our PEDD has been used to detect the HNE level in both tearwound fluids of 9 patients,the limitations of detection were about 0.76 μg/mL0.63 μg/mL respectively. Our device requires only 15 minutes, 3 μL of clinical sample for each test,offers superior sensitivity compared to other current HNE detection methods. The HNE concentrations in the patient samples have shown that the elevated HNE levels might suggest an abnormal healing of either acutechronic wounds, consistent with previous studies that showed excess protease levels in all non-healing wounds.

The principle of the image-based AFib discriminating system is based on the consistency that irregular cardiac cycles can both be detected on the waveforms of electrocardiographyrPPG. The quantity of the blood varies from time to time is captured by a general camera. Signals from RGB channels are then synthesized through the core algorithm to eliminate noisegenerate stable rPPG signals. The processed signals are then classified as AFibnot by a sample-size model. According to the IRB evaluation in En Chu Kong Hospital, the AFib can be well detected with an accuracy of 97.1.

The technology is video-based blood pressure monitoring which will help people know the continuous BP status in real time. Also, the contactless measurement can make a daily health record. We have conducted clinical trials in hospitalsestablished a large database to optimize AI solution. The system joins the physicians＇ specialty to analyze the users＇ health status with AI,takes care of human life with technology.