Methods for gait event detection and analysis in ambulatory systems

Abstract

After stroke, hemiparesis is a common problem resulting in very individual needs for walking assistance. Often patients suffer from foot drop, i.e. inability to lift the foot from the ground during the swing phase of walking. Functional electrical stimulation is commonly used to correct foot drop. For all supporting stimulation devices, it is vital to adequately detect the gait events, which is traditionally obtained by a foot switch placed under the heel. To investigate present methods of gait analysis and detection for use in ambulatory rehabilitation systems, we carried out a meta-analysis on research studies. We found various sensors and sensor combinations capable of analyzing gait in ambulatory settings, ranging form simple force based binary switches to complex setups involving multiple inertial sensors and advanced algorithms. However additional effort is needed to minimize donning/doffing efforts, to overcome cosmetical aspects, and to implement those systems into closed loop ambulatory devices.