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Frozen gait acquisition and analysis system and method based on multimodal signal synchronization

A signal synchronization, acquisition and analysis technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems of time asynchrony, simultaneous recording of signals that cannot be collected, and failure to achieve continuous functions, etc., to ensure accuracy, Good real-time and accurate effect

Active Publication Date: 2022-07-29
天津市环湖医院 +1
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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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  • Frozen gait acquisition and analysis system and method based on multimodal signal synchronization
  • Frozen gait acquisition and analysis system and method based on multimodal signal synchronization
  • Frozen gait acquisition and analysis system and method based on multimodal signal synchronization

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[0040] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0041]Before describing the embodiments of the present invention, the relationship between Parkinson's pathology and fNIRS, sEMG and vGRF signals will be described from a medical point of view. Because the cerebral blood flow changes significantly before freezing gait in Parkinson's patients, functional near-infrared can well predict before freezing and issue early warning signals, but not all blood flow changes are signs of freezing. After the early warning of the near-infrared signal, the EMG is used for further prediction. The EMG signal will appear before freezing and after the cerebral blood flow changes. Predictive analysis of frozen gait types based on the temporal characteristics of target muscle EMG signals. After both near-infrared and EMG have freezing signals, we believe that Parkinson's patients are very likely to have frozen ga...

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Abstract

The invention relates to a frozen gait acquisition and analysis system and method based on multi-modal signal synchronization. The EMG signal measurement system is installed with real-time marking software, the EMG signal measurement system is connected with a functional near-infrared spectroscopy brain imaging system, and a ground reaction force measurement system, and the cerebral cortex hemoglobin concentration is realized under the control of the real-time marking software. Signal, surface muscle electrical signal and plantar pressure signal acquisition and analysis functions. The invention adopts the multi-modal signal synchronous acquisition method, which makes the time consistency of data analysis and realizes the time synchronization function between the required devices, and in each experiment, the fNIRS, sEMG and vGRF signals are simultaneously recorded and used for Gait analysis, and the ability to correlate multi-modal signals to achieve a continuous function of evaluation.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, in particular to a frozen gait acquisition and analysis system and method based on multimodal signal synchronization. Background technique [0002] Parkinson's disease is a neurodegenerative disease characterized by four main motor dysfunctions: resting tremor, rigidity, bradykinesia, and postural instability. Because of the above-mentioned 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 relatively new optical neuroimaging technique that utilizes the theory of nerve-vascular coupling. Neuro-vascular coupling is caused by neuronal or glial cell activity, which promotes increased blood flow in active brain regions to meet the energy demands of neuronal tissue. Based on the hemody...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11A61B5/00
CPCA61B5/112A61B5/7264
Inventor 巫嘉陵韩建达于宁波于洋朱志中孙玉波
Owner 天津市环湖医院
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