Functional muscle group testing device and method

Abstract

A functional muscle group detection device and method are disclosed. Using a chair, base, handles, and sensors mounted on a base, subjects can perform functional movements such as squats, chest presses, and deadlifts, with real-time measurement of the movement parameters generated by the applied force. The parameters received by the sensors are processed electronically and converted into standardized values ​​based on identity parameters (such as gender, age, weight, and height), thereby generating a muscle strength assessment report. This report helps analyze whether the upper and lower limb muscle groups are sufficient to support daily living needs and predicts disability and fall risks. The device is easy to operate, provides real-time image display results, and has historical data comparison capabilities, offering a comprehensive assessment of muscle group function.

Claims

1. A functional muscle group detection device, comprising a base, above which are: a chair having a non-parallel seat cushion and a backrest, the seat cushion being spaced apart from the base, and shoulder pads being provided on both sides of the backrest; at least one base plate disposed between the base and the seat cushion; at least two handlebars disposed in front of the backrest, each handlebar including a base connected to the base and an operating part connected to the base; and at least two sensors respectively connected to the at least one base plate and the at least two handlebars.

2. The functional muscle group detection device as claimed in claim 1, wherein each of the operating parts is rotatably connected to the base.

3. The functional muscle group detection device as claimed in claim 1, wherein the number of the at least two handles is four, and each pair of handles is arranged as a group and correspondingly disposed on both sides of the at least two base plates, wherein each of the operating parts of one group extends from one end of each base in a direction away from the base, and each of the operating parts of the other group extends from one end of each base in a direction perpendicular to the base.

4. The functional muscle group detection device as claimed in claim 1, wherein the at least two sensors are connected to a processing module of an electronic device, the electronic device further comprising an operating display interface and a storage module interconnected thereto, and the processing module being connected to the operating display interface and the storage module.

5. A method for detecting functional muscle groups, comprising measuring the muscle group capabilities of a human body using a functional muscle group detection device as described in any one of claims 1 to 4, the method comprising the steps of: inputting an identification code to cause a processing module to read a corresponding identity parameter from a storage module, the identity parameter including gender and age information; the processing module driving an operation display interface to display a corresponding action screen according to a detection item in the storage module; a plurality of sensors of the functional muscle group detection device receiving a plurality of action parameters and transmitting the action parameters to the processing module; and the processing module analyzing and calculating at least one evaluation report based on the identity parameter and the action parameters.

6. The functional muscle group detection method as described in claim 5, further comprising the step of: inputting an identification code and gender and age information from the operation display interface to generate an identity parameter, the identity parameter being stored in the storage module corresponding to the identification code.

7. The functional muscle group detection method as described in claim 6, wherein the identity parameter further includes a height and weight value.

8. The functional muscle group detection method as described in claim 5, wherein the step of the processing module calculating the identity parameters and the movement parameters includes: the processing module converting the movement parameters into a plurality of standard values ​​based on the identity parameters; and the processing module calculating a plurality of muscle strength values ​​based on a corresponding gender data set in the storage module and the standard values, and the processing module generating the at least one assessment report based on the movement parameters, the identity parameters, and the muscle strength values ​​according to at least one calculation formula.

9. The functional muscle group testing method as described in claim 5, wherein the testing items include squat, deadlift, and chest press.

10. The functional muscle group detection method as described in claim 5, further comprising a step: after receiving the motion parameters, the processing module drives the operation display interface to display another motion screen.

11. The functional muscle group detection method as described in claim 5, further comprising the step of: the processing module reading at least one historical record and comparing it with the at least one evaluation report, wherein the at least one historical record corresponds to the identification code.

12. The functional muscle group detection method as described in claim 11, further comprising the step of: the processing module converting the at least one assessment report into another historical record and storing the corresponding identification code in the storage module.

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