-Enabling Technology for Human Interface
FLEXIBLE – Flexible Wearable Electronics – System on Cloth
Chronic diseases are the leading causes of deaths around the world. The high cost of prolonged in-hospital care for chronic conditions has inspired a transformation from hospital-centered to human-centered healthcare. The needs for comfort, biocompatibility, and operability call for special attention to new generation technologies. Systems on cloth provide a preventive, proactive approach for daily monitoring and well-being management. Everyone can embroider the desired systems on cloth based on our proposed manufacturing cloud.
Our cloud in MTU server to promote cloud manufacturing for system on cloth is available: http://socl.me.mtu.edu/ Customers can use our cloud to generate stitches for electronics layout for embroidery manufacturing.
A prototyped embroidered ECG system on fabric substrate is available in our lab. A video is available.
ACCURATE – Understanding and Mitigating Triboelectric Artifacts in Wearable Electronics
Electrophysiological measurement is a well-accepted tool and standard for health monitoring and well-being management. A great number of electrophysiological measurement devices have been developed including clinical equipment, research products, and consumer electronics. However, until now, it is still challenging to secure long-term stable and accurate signal acquisition, especially in wearable condition, not only for medical application in hospital settings, but also for daily well-being management. Motion-induced artifacts widely exist in electrophysiological recording regardless of electrodes (wet, dry, or noncontact). These artifacts are one of the major impediments against the acceptance of wearable devices and capacitive electrodes in clinical diagnosis. During motion, the electrophysiological signal acquisition is easily fluctuating and even out of range to the power rails. Other than skin-electrode impedance instability, is there a second dominant factor contributing to motion artifacts?
The goal of this project is to understand the fundamental physical model of motion artifacts in wearable devices from a new perspective and provide synergistic solutions to mitigating the artifacts by leveraging tribomaterial-based sensor design for charge manipulation and statistical data analytics for artifact removal. This project is funded by National Science Foundation.
Papers are available:
- Li, X., Huang, H., and Sun, Y. 2016. “Investigation of Motion Artifacts for Biopotential
Measurement in Wearable Devices,” IEEE-BSN 2016, June, 2016, San Francisco, CA.
- Li, X. and Sun, Y. 2017. NCMB-Button: A wearable non-contact system for long-term multiple biopotential monitoring. IEEE-CHASE 2017, July, 2017. (Selected to submit to Elsevier Smart Health Journal)