Probabilistic information structure of human walking.

Recently, the area of healthcare has been tremendously benefited from the advent of high performance computing in improving quality of life. Different processing techniques have been developed to understand the hidden complexity of the time series and will help clinicians in diagnosis and treatment. Analysis of human walking helps to study the various pathological conditions affecting balance and the elderly.

The effect of an auxiliary stimulation on motor function restoration by FES.

Functional Electrical Stimulation (FES) is a technology to generate neural activity in an artificial way to activate muscles. However, as reported by some researchers, the human responses to FES are likely to be affected by several factors, such as spasticity, muscle fatigue, nerve habituation and so forth. Consequently, the function restoration by FES is neither durable, nor stable.