Lower Limb Analysis of the Biomechanical Gait Cycle at Various Phases in Real Time

Abstract

Biotechnology is playing an extremely important part in medical advances. In actuality, they are the basis of pathology diagnosis, which provides doctors with the quantitative data required to choose the best treatment. This study looks at the facts of a case of weak muscular activity and devises solutions to help the disabled or very ill for the specialist to improve the patient's condition by choosing accurate treatment. This would enhance their psychological condition and make it easier for them to do their daily activities. The data are collected by surface electromyography (EMG) from the lower limb of the leg gait events (heel strike, foot flat, midstance, heel off, toe-off, and medium swing) on the right, left, and both legs are estimated. The system consists of a microcontroller, a myograph sensor, and Bluetooth. Healthy individuals utilize both legs regularly in a balanced manner and during a walk as well as stair ascending tests. On both sides of the legs (right and left), sensors are placed on the quadriceps, hamstrings, tibialis, and triceps muscles. The system was tested on 28 people (17 males and 11 females) aged 24–54 years old. The suggested method is used to analyze gait in real-time.