Digital Health
Medical wearables are transforming the way that patients are cared for. But as these devices become smaller, smarter, more interconnected, and more user-friendly, the technology that underpins them needs to be rock-solid. That is where CSEM comes in.
CSEM SA
Neuchâtel,
Switzerland
The solutions we are creating have the potential to transform how healthcare is administered to stakeholders. Our projects leverage the power of digital technology in healthcare to develop solutions that not only improve patient outcomes but also streamline clinical workflows.
Sensors, wearables, and the Internet of Medical Things (IoMT)
- Design: Creating wearable or system solutions based on CSEM reference designs for monitoring the cardiovascular system (ECG), respiration (impedance and stethoscope), brain (EEG), and muscles (EMG). Our solutions are also being applied to analysis applications for movement and gait, biomarkers, skin/body temperature, and gas analysis to develop medical devices up to Class III.
- Integration and optimization: Simplifying the integration of medical device components including optical/PPG sensors, dry active electrodes, electrochemical and gas sensors as well as ultra-low-power ASIC and sub-threshold CMOS.
Data Science
- Algorithm development and transfer: Creating innovative algorithms for noninvasive measurement of vital signs. We also integrate existing libraries dedicated to the estimation of vital signs including heart rate and its variability (HRV), blood pressure, oxygen saturation, pulmonary artery pressure, and physical activity profiling.
- Diagnostics and detection: Developing AI-based systems for detecting optical cardiac arrhythmia, falls, risk of falls, sleep staging and apnea, and monitoring point-of-care diagnostics.
- Deployment: Designing, implementing, and validating custom models for medical diagnostics and decision support systems implemented, deployed in embedded systems like nRF SoC, STM32, or cloud solutions like AWS, Azure, CSEM proprietary and on-premises software.
Clinical Assessment
- Clinical studies: Working with our network of university hospitals and participating in the design of study protocols in compliance with relevant standards and norms.
- Data collection: Deploying custom-made IoT smart sensor gateways for collecting vital signs from inpatients and outpatients and streaming them in real-time to custom-made databases.
- Privacy: Using machine learning algorithms and distributed AI technologies to ensure data privacy and security of sensitive clinical data.
