Artifacts Mitigation in Sensors for Spasticity Assessment

Abstract

Figure 8. Summary of the Pearson correlation coefficient between the neural network predictions to the ground truth. The parameters of a) resistance, b) angular displacement, and c) power are measured by three users (each represented by a different color) across five test days. Each box-and-whisker symbol represents 20 test runs.

Multimodal Sensing in Stroke Motor Rehabilitation

“…Detecting hand spasms by IMU and pressure sensors. [ 178 ] Copyright 2021, WILEY. Knee pendulum test to assess knee spasm.…”

“…The linear flexible strain sensor can measure the change of radial spasm force, and it is easy to embed into gloves and finger exoskeletons, so some studies use it to combine with IMU to detect hand spasms. [178,205] Visual measurement has great advantages in the measurement and modeling of whole-body motion. Using labeled visual sensors and IMU, Li proposes a dynamic model based on a bone vector to reconstruct the body posture of hemiplegic children during exercise training to evaluate the degree of spasticity, and verify the accuracy in the measurement direction very close to that of OptiTrack.…”

“…Copyright 2021, IEEE. Detecting hand spasms by IMU and pressure sensors [178]. Copyright 2021, WILEY.…”