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Health and Biomedical

Supporting sensor-enabled health monitoring with accurate medical-grade data.

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Wearable sensors in remote medicine

Wearable sensors are becoming predominant in the health industry, offering accurate measurements of body temperature, oxygen saturation and heart rate. All of which help physicians to monitor fluctuations and diagnose medical issues or prescribe treatments. Connected medical devices allow remote health monitoring services while guaranteeing data accuracy and improving comfort. They often use wearable sensors that grant patients peace of mind as they provide valuable readings with a simple glance.

Biosignals and self-monitoring

Biosignals are records of biological events in living beings that can be continually measured and monitored. The electrical, chemical and mechanical activity produce signals that can be analyzed to provide useful information about the physiology of our bodies. 

Wearable sensors such as PPG, ECG, and EDA are the most prominent way to measure parameters essential to evaluate health and fitness. Users are provided with powerful medical devices for self-monitoring and taking a more active role in managing their well-being.

AI-driven insights

Signal processing and data analytics techniques can be applied to biosignal sensors for the reliable measurement of health data. This technology uses specific algorithm modeling and artificial intelligence for information and feature extraction. It also uses sensor fusion that interprets data acquired from multiple sources for a more accurate and credible view. In this process, the fused information generated by wearable sensors, such as movement patterns, gait analysis or activity tracking, is correlated with synchronized bio-signal data.

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