The ongoing development and adoption of wearable devices equipped with sensors enables a diversity of new opportunities in the area of personal healthcare. The continuous and seamless capturing of vital signs using unobtrusive technologies provides complete visibility, and is a significant improvement compared to conventional monitoring methods. State-of-the-art wearable solutions detect anomalies faster, and therefore decrease the risk of diseases going undiagnosed.
Fraunhofer IGD is developing new algorithms and technologies that apply wearable body sensors in order to detect vital signs – and capture, analyze, and visualize this data. Leveraging their extensive experience in intelligent sensor fusion and pattern recognition, Fraunhofer researchers are harnessing the capabilities of these cutting-edge sensors. The corresponding algorithms enable a deployment to diverse devices (smartwatches, smartphones, etc.) and in a wide variety of scenarios.
The algorithms developed by Fraunhofer IGD enable the reliable, highly accurate capturing of vital signs via accelerometers. Fraunhofer uses the latest wearables, such as smartwatches and smartpatch sensors. These are not only comfortable for the patient, but can also concurrently capture data on multiple positions on the body.
Analysis of the captured data, e.g. heart rate, heart rate variability and respiratory rate, enable the determination of sleep quality, stress levels and anomalies (e.g. sleep apnea, unconsciousness). The comprehensive nature of the information gathered enables abnormal patterns to be identified rapidly, and allows medical professionals to intervene as soon as possible. In Addition to this, it supports the evaluation of treatment outcomes.
Multiple sensors and adaptive algorithms increase the robustness and reliability of the recorded data. Moreover, the algorithms have been optimized for minimizing the power consumption, meaning the devices are able to run for significantly longer uninterrupted timeframes compared to conventional technologies.
- Detection of cardiovascular anomalies (e.g. atrial fibrillation, tachycardia, bradycardia),
- Early identification of lung disease (e.g. COPD),
- Analysis of sleep behavior,
- Detection of sleep disorders (e.g. snoring, sleep apnea),
- Detection, monitoring and management of stress,
- Improved health and safety at work through recognition of stress levels, plus alerts in case defined thresholds have been exceeded.
- Reliable and highly accurate capturing of vital signs,
- Can be deployed in a variety of devices,
- Adaptive algorithms for capturing data in various situations,
- Can be used for significantly longer, uninterrupted periods compared to conventional technologies (e.g. optical heart rate sensors),
- Concurrent measurements on multiple positions on the body,
- Unobtrusive measurement approach,
- Leverages the latest wearable technologies.