Rehabilitation robot training system and method based on counting statistics

A rehabilitation robot and training system technology, which is applied in the field of rehabilitation robot training system based on counting statistics, can solve the problems of accuracy and reliability, and the individual adaptability of the department is not high, so as to achieve a high degree of clinical accuracy and accuracy improvement , reducing the effect of statistical computing performance

Active Publication Date: 2021-03-16
NANJING VISHEE MEDICAL TECH
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Problems solved by technology

[0003] Based on the above defects, the rehabilitation training program recommendation methods developed on the market all use rule-based reasoning mechanisms or deep learning methods, but th

Method used

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  • Rehabilitation robot training system and method based on counting statistics
  • Rehabilitation robot training system and method based on counting statistics

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Experimental program
Comparison scheme
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Embodiment 1

[0075] like figure 1 As shown, the present embodiment discloses a rehabilitation robot training system based on counting statistics, including:

[0076] Patient management module: Centralized management of patient information, including adding, modifying, querying, and deleting patient information. The information includes patient age, height, weight, limb parameters, damaged side, disease, symptoms, etc. The database access module is stored in the database; start training on the patient information interface and enter the training function.

[0077] Program management module: Built-in commonly used training programs, and accept changes to the programs; therapists can add, modify, delete, and query programs; the program list is sorted from high to low according to the frequency of use; programs can be organized by case and damaged side rearrange.

[0078] Training module: Use the training plan to carry out rehabilitation training according to the preset plan parameters. The ...

Embodiment 2

[0088] This embodiment discloses a method for implementing program recommendation and parameter recommendation using the training system of Embodiment 1, and then performing rehabilitation training, such as figure 2 shown, including the following steps:

[0089] (1) Real-time counting statistics of historical data: including historical counting statistics of schemes and historical counting statistics of scheme parameters;

[0090] (2) Solution recommendation based on configurable dimensions;

[0091] (3) Recommendation of scheme parameter values ​​based on configurable dimensions.

[0092] In this training system, the problems of program recommendation and program parameter value recommendation are mainly solved. Among them, it should be emphasized that the counting statistics are carried out in real time, that is, the program or program parameters are triggered at the end of normal operation of each program. The counting statistics of the value, so that in the training met...

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Abstract

The invention discloses a rehabilitation robot training system and method based on counting statistics. Real-time statistics is carried out during training, intelligent recommendation of schemes and parameter values can be achieved in the subsequent training process, the credibility and accuracy are high, the difficulty of selection of robot rehabilitation training schemes and parameter adjustmentis lowered, along with continuous accumulation of the data, the recommendation accuracy can be continuously improved, the longer the use time is, the more suitable the use habit of the department is,the use difficulty and time cost of the rehabilitation robot can be greatly reduced, and the workload of a therapist is reduced.

Description

technical field [0001] The present invention relates to a rehabilitation robot training system, in particular to a rehabilitation robot training system and training method based on counting statistics; Background technique [0002] Rehabilitation robots in the prior art have built-in multiple clinical rehabilitation training programs for different patients, different diseases, and different symptoms. Each program also includes multiple parameters. The selection of the program and the setting of the parameters require a therapist with rich clinical experience. Operation, training for each patient needs to be set and adjusted, and the operation is cumbersome and repetitive. [0003] Based on the above defects, the rehabilitation training program recommendation methods developed on the market all adopt rule-based reasoning mechanisms or deep learning methods, but the data of these methods do not come directly from the therapist's daily usage habits, and are accurate and credibl...

Claims

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Application Information

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IPC IPC(8): A63B24/00G06F16/9535G06F16/2458G06F16/21
CPCA63B24/0062A63B24/0075A63B24/0087A63B2024/0093G06F16/219G06F16/2462G06F16/9535
Inventor 宋廷宇何海龙
Owner NANJING VISHEE MEDICAL TECH
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