A hybrid method for real-time stimulation artefact removal during functional electrical stimulation with time-variant parameters

Radial extracorporeal shock wave therapy as an additional treatment modality for spastic equinus deformity in chronic hemiplegic patients. A randomized controlled study

PURPOSE

To evaluate the effectiveness of radial extracorporeal shock wave therapy (r ESWT) as an additional treatment modality for spastic equinus deformity in chronic hemiplegic patients.

METHODS

100 eligible stroke patients with calf muscles spasticity were randomized into 2 groups. Group I: 50 patients exposed to rESWT 1.500 pulses, 0.10 mJ to 0.3mJ/mm2, with a frequency 4 Hz once weekly for one month. Group II: 50 patients exposed to Sham rESWT once weekly for one month. Clinical, electrophysiological & musculoskeletal ultrasound assessments were done for all patients.

RESULTS

After controlling baseline as covariate, the trend for modified Ashworth scale (MAS), Passive ankle dorsiflexion motion (PADFM), 10 meters walk test (10-MWT), and Ratio of maximum H reflex to maximum M response (H/M ratio) after one & two months was significantly different between the two groups, with improvement of all clinical and electrophysiological parameters in group I.

CONCLUSION

ESWT represents a useful non-invasive, additional modality for the reduction of foot spasticity and equinus deformity in stroke patients.

A PCA Based Artifact Removal Algorithm for Neural Signal Acquisition with kS/s Sampling Rate

The contamination of stimulus artifacts during Deep Brain Stimulation (DBS) brings challenges to the signal processing, especially when the ratio of the kS/s sampling rate to the stimulation frequency is not an integer. In this work we study to deal with this problem. A transfer function is built to describe the relationship between the stimulation signal and the artifact at the acquisition site. A principal component analysis (PCA) based linear regression algorithm for eliminating the artifact is proposed. The algorithm can be used for the artifact removal with low sampling rate of the neural signal. Higher than 60% correlation coefficient of the artifact-free signal and the predetermined self-generated signal is achieved when the artifact is 60dB larger than the predetermined signal. The numerical recipe for the critical algorithm is also proposed, lowering the complexity from cubic degree to square degree.

Sensory Feedback for Upper-Limb Prostheses: Opportunities and Barriers

The addition of sensory feedback to upper-limb prostheses has been shown to improve control, increase embodiment, and reduce phantom limb pain. However, most commercial prostheses do not incorporate sensory feedback due to several factors. This paper focuses on the major challenges of a lack of deep understanding of user needs, the unavailability of tailored, realistic outcome measures and the segregation between research on control and sensory feedback. The use of methods such as the Person-Based Approach and co-creation can improve the design and testing process. Stronger collaboration between researchers can integrate different prostheses research areas to accelerate the translation process.