The application discloses a neuromuscular function
evaluation system and relates to the field of
biomedical engineering.The
system comprises a
lower limb isometric
muscle strength measuring device, an electromyographic
signal acquisition device, a
synchronous control module and an upper computer
system, the upper computer
system realizes real-time synchronous acquisition of
muscle strength and electromyographic signals through the
synchronous control module, and accurately captures neuromuscular activation and response processes.After the collected data is preprocessed,
muscle strength
peak value, force development rate, neuromuscular activation
delay and electromyographic time-
frequency domain parameters and various characteristics are extracted.A
machine learning model is constructed by using the extracted characteristics, and is used for evaluation of the neuromuscular function state.The application improves the accuracy and
automation degree of neuromuscular function evaluation through an
objective evaluation mode, and is particularly suitable for function evaluation and
rehabilitation monitoring of multiple types of people, such as the elderly, people with neuromuscular diseases,
rehabilitation personnel after
nerve injury or
sports injury, etc.