Low Complex CORDIC-based Hand Movement Recognition Design Methodology for Rehabilitation and Prosthetic Applications.

Hand movement recognition using Electromyography (EMG) signals have gained much significance lately and is extensively used for rehabilitation and prosthetic applications including stroke-driven disability and other neuromuscular disorders. Herein, quantitative analysis of EMG signals is very crucial. However, such applications are constrained by power consumption limitations due to the battery backup necessitating low-complex system design and the on-chip area requirement.

Poststroke Grasp Ability Assessment Using an Intelligent Data Glove Based on Action Research Arm Test: Development, Algorithms, and Experiments.

Growing impact of poststroke upper extremity (UE) functional limitations entails newer dimensions in assessment methodologies. This has compelled researchers to think way beyond traditional stroke assessment scales during the out-patient rehabilitation phase. In concurrence with this, sensor-driven quantitative evaluation of poststroke UE functional limitations has become a fertile field of research.

Gold-nanoparticle-embedded microchannel array for enhanced power generation.

A high streaming potential and current were generated using a gold-nanoparticle-embedded patterned PDMS microchannel array. Gold nanoparticles with dimensions of ∼70 nm were prepared inside a hydrophobic patterned PDMS microchannel. The channel array was developed on a ridge-shaped patterned surface by performing soft lithography using UV-laser micromachining with a ridge spacing of 27.