Smart Watches 
AI Health Watch Pulsecare KM-WP3
AI Health Smartwatch: Non-invasive ECG, Blood Pressure & Glucose Monitoring
AI Health Smartwatch: Non-invasive ECG, Blood Pressure & Glucose Monitoring
One wrist-worn device captures seven metrics — ECG, blood pressure, blood oxygen, glucose, uric acid, blood lipids, and heart rate — via non-invasive sensing. Eliminates separate monitors per metric and removes finger-stick barriers to compliance, reducing diagnostic equipment footprint per patient.
Micro air pump and high-precision pressure sensor use oscillometric measurement — the same principle as clinical BP monitors — with a skin-friendly compression cuff. Delivers dynamic readings matching reference devices, enabling hypertension management without a separate cuff device.
High-performance ECG sensor captures real-time cardiac waveforms, while the AI engine performs disease screening and heart health scoring. Risk-stratified reports via mobile app support early arrhythmia detection and inform clinical decisions before symptoms escalate.
Optical spectroscopy enables 24/7 glucose and uric acid tracking without needles or test strips — removing pain, cost, and compliance friction. Continuous trend data helps users correlate readings with diet and activity, while early gout alerts reduce emergency visits and medication costs.
Caregivers link accounts to view real-time health data for multiple wearers from one app. Threshold alerts notify the care circle instantly when a metric crosses a boundary. For senior care and telehealth, this compresses anomaly response time and creates auditable wellness records.
Featuring a soft, skin-friendly, and eco-friendly cuff design, it fits snugly around the wrist and is paired with a butterfly buckle to ensure a stable compression process, enhancing the accuracy of blood pressure measurements.
With two sets of light sources and photoelectric sensors, combined with advanced AI algorithms and high-fidelity signal processing technology, it extracts more effective signals and filters out interference, ensuring more accurate heart rate monitoring.
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