The central insight in the development of the Sensorized Prosthetic Alignment ReadOut (SPARO) system is that prosthetic performance depends critically on alignment; that is, the alignment of prosthetic components governs how loads are transferred to and from the residual limb, which directly affects how the user is supported and able to interact with the external world. The balance and weight-bearing required for ambulation and daily mobility tasks requires excellent mechanical performance from prosthetic systems, which is achieved in only a small fraction of patients currently using prosthetics.
Current work has focused on the issue of numerically quantifying the alignment of prosthetic components in both static and dynamic walking conditions via cutting-edge wearable motion capture technology. Immediate feedback is presented to the prosthetist through a custom software GUI, providing load transfer and kinematics data between the residual limb and external environment with statistics. This novel data pipeline satisfies a current void in knowledge, allowing prosthetic alignment to be recorded, compared, and guided with expert software, lessening the requirement of a prosthetist’s individual experience/expertise needed to achieve or replicate desired results.