Remote intelligent medical rehabilitation system and method

Abstract

The invention belongs to the technical field of computer software, and discloses a remote intelligent medical rehabilitation system and method. The system is provided with a voice collection module, an image acquisition module, a tactile acquisition module, a data storage module, a human-computer interaction module, a data analysis module, a remote data sharing center and a lower-level medical structure end; a patient can perform rehabilitation training actions according to an established training model through an auxiliary training module; visual, aural and tactile signals of the patient training feedback are continuously collected during the use of the patient; active interaction with the patient is conducted through the human-computer interaction module, the method is a step-by-step product-assisted interaction mode, and a current patient medical rehabilitation interaction experience is improved; in combination with individual differences, a deep learning algorithm continuously adjusts the training model, a valuable reference model is provided for a patient who later uses the product system again, and when the patient is restored to a certain degree, external forces are slowly reduced until the patient can complete independently.

Description

technical field [0001] The invention belongs to the technical field of computer software, and in particular relates to a remote intelligent medical rehabilitation system and method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: At present, there is an extreme shortage of professional doctors and rehabilitation trainers in the field of medical rehabilitation in my country, and most of the patients in medical rehabilitation are elderly people over 60 years old, and their children are often not around. Therefore, how to know the patient's training situation in time and help the patient's autonomous rehabilitation training is an important issue. Some of the current rehabilitation products require the patient to be assisted by a trainer, and some need to be operated through a touch screen that is more complicated for the elderly. [0003] In summary, the problems in the prior art are: [0004] (1) There is an e...

AI Technical Summary

Problems solved by technology

[0004] (1) There is an extreme lack of professional doctors and rehabilitation trainers in the field of medical rehabilitation. The current rehabilitation products are complicated to use and are not suitable for elderly patients.

[0005] (2) In the high-precision photogrammetry auxiliary training process images, the image processing accuracy of the auxiliary training process plays a vital role in the overall measurement accuracy, but the discrete sampling of the feature point images by the camera during the imaging process will cause image Distortion with the original signal, resulting in errors in formulating the rehabilitation plan

[0006] (3) Since the average power spectrum of the speech signal in the auxiliary training process is affected by glottal excitation and nasal radiation, the high-frequency end drops at a rate of 6d B / octave above 800Hz, that is, 6d B / oct (2 octaves) or 20d B / dec (10 times frequency), so when calculating the frequency spectrum of the voice signal, the higher the frequency, the smaller the corresponding component. The spectrum of the high frequency part is more difficult to find than the low frequency part, and it is difficult to perform spectrum analysis or channel parameter analysis

[0007] (4) Due to the anisotropy of materials in pressure tactile sensing during the auxiliary training process, the reflected beam spot is often larger, and the beam coupled into the optical fiber is lower. The accuracy decreases during continuous pressure testing, which affects the feedback results, which is not conducive to planning of rehabilitation

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