Virtual Proprioception for Eccentric Training through Conformal Wearable and Wireless Inertial Sensor Systems

Eccentric strength training represents a robust rehabilitation and therapy capability, which is inherently oxygen efficient. The oxygen efficient properties of eccentric training are uniquely suited for elderly people with impaired cardiopulmonary capacity. Furthermore, this technique of eccentric training may be extended to people with reduced cardiopulmonary capacity due to post-symptoms from COVID- 19. Synthesis of conformal wearable and wireless inertial sensor systems with eccentric strength training enables the evolution of Virtual Proprioception for eccentric training. The conformal properties of the wearable and wireless inertial sensor, such as the BioStamp nPoint, feature the ability to flexibly mount by adhesive to effectively any segment of the human anatomy, such as about the forearm near the wrist for quantifying a biceps curl. Using Virtual Proprioception for eccentric training with a conformal wearable and wireless inertial sensor, such as the BioStamp nPoint, the eccentric phase can be emphasized by visualized feedback of the associated gyroscope signal with a predefined threshold. Machine learning classification, such as a support vector machine, achieves considerable classification accuracy to distinguish between standard strength training and eccentric strength training for a biceps curl through a preliminary application of Virtual Proprioception for eccentric training with a conformal wearable and wireless inertial sensor.