Kirigami-based, Next-to-Skin Platform for Rotator Cuff and Other Ambulatory Characterization and Therapy


This project will develop our kirigami based sensing structure into a full-fledged, next-to-skin sensing platform that can be manufactured in large quantities and is able to meet the needs of clinicians and patients for monitoring and diagnosing rotator cuff injuries. This will be accomplished expertise in ultra-low power, battery-free sensing and computing platforms. This new kirigami platform will utilize state-of-the-art energy harvesting and backscatter communication capabilities that will reduce power by 3-to-4 orders of magnitude compared to traditional wireless sensing devices. This will allow our proposed rotator cuff sensing device to stream rich sensor data for detailed clinical measurements or reduce the measurement frequency to operate indefinitely off of harvested power for everyday use.

People

Alanson
Sample

CSE
Engineering

Max
Shtein

MSE
Engineering

David
Lipps

BME
Engineering and Kinesiology


Funding

Funding: $30K (2022)
Goal: The seed funding will enable the development of the first fully integrated on-body kirigami sensing platform capable of monitoring user movement.
Token Investors: Alanson Sample, Max Shtein


Project ID: 1049