A guiding method applied to gait freezing and a system thereof

Abstract

This invention provides a guidance method and system for gait freeze. The method uses a detection unit to acquire environmental information and the user's gait and physiological parameters during movement. A prediction model generates prediction results based on the gait and physiological parameters. The guidance unit performs calculations based on the prediction results and environmental information to generate guidance information, which is then output through an output device. In this way, it can automatically predict when there is gait freeze or when the user is close to gait freeze and provide corresponding guidance to relieve or avoid gait freeze.

Claims

1. A method for guiding gait freeze, comprising the steps of: acquiring first environmental information and a first gait parameter and a first physiological parameter of a user during movement using a detection unit; and performing calculations using a prediction model based on the first gait parameter, a weight, and the first physiological parameter to generate a first prediction result, wherein, The first step-state parameters are cadence, speed, stride length, stride width, and freeze index. The freeze index is the power ratio between the freezing frequency band and the walking frequency band, with a greater weight for the freeze index than for stride length and stride width. Furthermore, stride length and stride width have a greater weight than speed and cadence. The first physiological parameters are heart rate and skin conductance. A guidance unit calculates based on the first step-state condition and a first classification level from the first prediction result, along with the first environmental information, to generate first guidance information. The guidance unit adjusts the output intensity or a combination of outputs of the first guidance information based on the first environmental information. The first guidance information is output via an output device. When the user moves according to the first guidance information, the detection unit acquires second environmental information and one of the user's second gait parameters and a second physiological parameter. The prediction model calculates based on the second gait parameters and the second physiological parameter to generate a second prediction result. The second gait parameters are cadence, speed, stride length, stride width, and freeze index. The freeze index is the power ratio between the freezing frequency band and the walking frequency band, with a greater weight than stride length and stride width. The weight of stride length and stride width is greater than that of speed and cadence. The second physiological parameter is heart rate signal and skin conductance signal. The guidance unit calculates based on the second gait status and a second classification degree of the second prediction result and the second environmental information to adjust the first guidance information to a second guidance information accordingly. The guidance unit adjusts the output intensity or output combination of the second guidance information based on the second environmental information and outputs the second guidance information through the output device. The first guidance information and the second guidance information are selected from sound signals, vibration signals, light signals, or any combination of two or more of the above; the first environmental information and the second environmental information are surrounding obstacles, ambient sound intensity, and ambient light brightness.

2. The guidance method for gait freeze as described in claim 1, wherein, The predictive model can optionally import medication data from one of the users and medical record data for calculation.

3. The guidance method for gait freeze as described in claim 1, wherein, When the output device is a wearable device, the output device outputs the corresponding first guidance information and the second guidance information according to one of the user's wearing positions. When the wearing position is the wrist, the output device increases the vibration signal intensity of the first guidance information and the second guidance information, or when the wearing position is the chest, the output device decreases the vibration signal intensity of the first guidance information and the second guidance information.

4. The guidance method for gait freeze as described in claim 1, wherein, The first gait parameter and the second gait parameter include the movement trajectory, and the first physiological parameter and the second physiological parameter include blood oxygen, blood pressure, skin temperature, or any two or more of the above.

5. A guidance system for gait freeze, comprising: a detection unit for acquiring environmental information and a gait parameter and a physiological parameter of a user during movement, wherein, The environmental information includes surrounding obstacles, ambient sound intensity, and ambient light level; the gait parameters include cadence, gait speed, stride length, stride width, and freeze index, where the freeze index is the power ratio between the freeze frequency band and the walking frequency band; the physiological parameters include heart rate and skin conductance signals; and a server, communicatively connected to the detection unit, comprising: A prediction model is used to calculate a prediction result based on the gait parameters, a weight, and the physiological parameters. The prediction result may optionally include a gait condition and a corresponding grading degree, with the weight of the freeze index greater than that of stride length and stride width, and the weight of stride length and stride width greater than that of gait speed and cadence. A guidance unit is used to acquire and generate corresponding guidance information based on the prediction result and environmental information. The guidance information is selected from sound signals, vibration signals, light signals, or any combination of two or more of the above. The guidance unit adjusts the output intensity or a combination of outputs of the guidance information according to the environmental information. An output device is communicatively connected to the server to output the guidance information so that the user can move according to the guidance information.

6. The guidance system for gait freeze as described in claim 5, wherein, The communication connection between the detection unit, the server, and the output device is achieved through a wireless transmission communication system.

7. The guidance system for gait frostbite as described in claim 5, wherein the server includes a database for storing medication information and medical records of the user, allowing the predictive model to selectively import the user's medication information and medical records for calculation.

8. The guidance system for gait freeze as described in claim 5, wherein, The output device may optionally include a fixed device and / or a wearable device. When the output device is a wearable device, the guide unit may optionally output the corresponding guide information according to one of the user's wearing positions. When the wearing position is the wrist, the guide unit increases the vibration signal intensity of the guide information, or when the wearing position is the chest, the guide unit decreases the vibration signal intensity of the guide information.

9. The guidance system for gait freeze as described in claim 5, wherein, The detection unit is selected from an image capturing device, an audio capturing device, an inertial sensor, a pressure sensor, a skin conductance sensor, a bioelectrode device, a light sensor, a position sensor, or a combination of any two or more of the above.

10. The guidance system for gait freeze as described in claim 5, wherein, The output device is selected from a vibration device, a playback device, a light-emitting device, or a combination of any two or more of the above.

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