Frozen gait collecting and analyzing system and method based on multi-modal signal synchronization

Abstract

The invention relates to a frozen gait collecting and analyzing system and method based on multi-modal signal synchronization. The system is technically characterized by comprising a functional near-infrared spectrum brain imaging system, an electromyographic signal measuring system and a ground reaction force measuring system, wherein the electromyographic signal measuring system is provided withreal-time marking software; and the electromyographic signal measuring system is connected with the functional near-infrared spectral brain imaging system and the ground reaction force measuring system and achieves the functions of collecting and analyzing cerebral cortex hemoglobin concentration signals, surface electromyographic signals and plantar pressure signals under the control of the real-time marking software. According to the invention, a multi-modal signal synchronous collection mode is adopted, so that time consistency of data analysis is realized, a time synchronization functionbetween required equipment is realized, in each experiment, fNIRS, sEMG and vGRF signals are simultaneously recorded and used for gait analysis, correlation analysis can be performed on the multi-modal signals, and an evaluation continuity function is realized.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, in particular to a system and method for collecting and analyzing frozen gaits based on multimodal signal synchronization. Background technique [0002] Parkinson's disease is a neurodegenerative disorder characterized by four main motor dysfunctions: resting tremor, rigidity, bradykinesia, and postural instability. Due to the aforementioned motor dysfunction in Parkinson's patients, their quality of life is seriously affected. [0003] With the development of functional near-infrared-spectroscopy (fNIRS), human brain oxyhemoglobin (HBO) can be read and quantitatively analyzed. fNIRS is a newer optical neuroimaging technique that utilizes the theory of neuro-vascular coupling. Neuro-vascular coupling results from neuronal activity or glial cell activity that induces increased blood flow in active brain regions to meet the energy demands of neuronal tissue. Based on the hemodyna...

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Problems solved by technology

[0006] The above cerebral cortex hemoglobin concentration, electromyographic signal, and plantar pressure information can be used to analyze the characteristics of patients with Parkinson's disease. However, because the existing test equipment is independent of each other, the time between these equipment is not synchronized, and the time for data measurement and data analysis is also limited. Inconsistent, it is impossible to record the collected signals at the same time. At the same time, due to the time asynchrony, it is impossible to perform correlation analysis on multi-modal signals, and it is impossible to realize the continuity function of evaluation

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