Disciplines
Biomedical Engineering and Bioengineering | Engineering
Abstract (300 words maximum)
Enhanced technological advancement in computation, communication, and sensing has dramatically changed the dynamics of modern medicine. Advancing preventive medicine is paramount to a sustainable improvement in the quality of life and life expectancy. On-body sensors provide continuous measurements for healthy and ailing individuals leading to faster recovery and more timely detection of illnesses. Novel sensor designs and sensor fusion for preventive monitoring can provide extensible benefits, including a better understanding of ailment progression, treatment optimization, and patient feedback through data analytics and visualization. However, existing research does not thoroughly investigate sensor fusion approaches in biomedical sensing, as well as spot sensing, which can provide better information through more accurate detection of specific tissues instead of secondary measurements. This article presents the development of an ex-vivo sensor fusion system to track a person's muscular condition. The embedded system provides a significant benefit by notifying users of particular muscle events in real-time.
Academic department under which the project should be listed
SPCEET - Robotics and Mechatronics Engineering
Primary Investigator (PI) Name
Razvan Voicu
Biomedical Sensing - A Sensor Fusion Approach for Improved Medical Detection and Monitoring
Enhanced technological advancement in computation, communication, and sensing has dramatically changed the dynamics of modern medicine. Advancing preventive medicine is paramount to a sustainable improvement in the quality of life and life expectancy. On-body sensors provide continuous measurements for healthy and ailing individuals leading to faster recovery and more timely detection of illnesses. Novel sensor designs and sensor fusion for preventive monitoring can provide extensible benefits, including a better understanding of ailment progression, treatment optimization, and patient feedback through data analytics and visualization. However, existing research does not thoroughly investigate sensor fusion approaches in biomedical sensing, as well as spot sensing, which can provide better information through more accurate detection of specific tissues instead of secondary measurements. This article presents the development of an ex-vivo sensor fusion system to track a person's muscular condition. The embedded system provides a significant benefit by notifying users of particular muscle events in real-time.