Advanced Health &
Biomedical Sensor Solutions
Supporting sensor-enabled health monitoring with accurate medical-grade data.
Wearable motion 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. Biomedical Sensing Solutions 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 biomedical 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.
Case Study
Take a look at our case studies based on your research or business needs. Learn more about how our smart sensing solutions have helped our customers achieve their goals and revolutionize their industry.
Medical grade wearable IMU sensor for Neurorehabilitation
221e’s Muse system was used to control the pulses of electrostimulation based on VIKTOR’s clinical motion protocols. Inertial sensors and orientation estimation with our MPE were used as the backbone technology to automatically recognize exercise cycles and provide digital input to trigger muscular and nervous excitation.
Transforming Healthcare with Sensing AI
Advancements in research sensors are transforming health technologies, enabling highly personalized care and significantly improving patient outcomes. IMU (Inertial Measurement Unit) sensors integrated with Artificial Intelligence enhance the monitoring, tracking, and analysis of movement and vital signs, providing real-time insights into physical performance through sensor fusion AI.
These smart sensors support real-time motion and vital sign tracking, facilitating remote healthcare and timely interventions. For individuals whose health is closely tied to physical activity, these sensors offer actionable data that empower them to take control of their well-being, fostering informed and proactive patient engagement.
Data for Smarter Rehabilitation
Biomedical sensors also provide valuable biomechanical feedback, aiding therapists in monitoring patient progress and refining rehabilitation exercises. The incorporation of sensor fusion AI delivers more precise, data-driven insights, enhancing the effectiveness of recovery programs.
Effortlessly integrated into wearables, inertial sensors enable non-invasive, continuous health monitoring. Their combination with AI supports the diagnosis of conditions such as Parkinson’s disease and gait disorders, while predictive capabilities help identify potential health risks, paving the way for early intervention and complication prevention.
Wearable Biomedical Sensors for All Motion Scenarios
In sports, these sensors analyze performance metrics to optimize training and reduce injury risks. For older adults, they offer critical fall detection and movement monitoring, enabling timely emergency responses and enhancing safety through reliable, AI-enhanced alerts.
By leveraging machine learning, research sensors generate tailored insights that align with individual health needs, ensuring accurate and personalized care. This fusion of technology and data empowers both patients and healthcare providers with actionable information for better outcomes in health and performance.
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