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Online frozen gait detection method

A detection method and gait technology, applied in the field of machine learning, can solve problems such as low accuracy and cumbersome manual setting of the freezing threshold

Active Publication Date: 2018-10-09
GYENNO TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventor found in the process of realizing the present invention that: the above two detection methods all need to manually pre-set the threshold, and the accuracy is not high; and in the above two methods, when the feature space has a high dimension, manually setting the freezing threshold will change. very cumbersome

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Embodiment Construction

[0035] In order to make the purpose, solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as there is no conflict with each other.

[0036] In order for those skilled in the art to better understand the frozen gait online detection method provided by the following embodiments of the invention, the construction principle of the naive Bayesian classifier is briefly introduced below.

[0037] Naive Bayesian classifier is an algorithm based on Bayesian theory in the collection of classification algorithms. It does not exist alone, but a family of algorithms in which they al...

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Abstract

The invention relates to the machine learning technology field and particularly relates to an online frozen gait detection method. The method comprises steps that offline gait data and an offline gaitvideo in the offline walking process of a patient are obtained, the offline gait data includes thigh acceleration, thigh angular velocity, calf acceleration, calf angular velocity and plantar pressure; an offline sample set is established according to the offline gait data and the offline gait video; an offline normal gait and offline frozen gait naive Bayesian classifier is constructed; throughthe offline normal gait and offline frozen gait naive Bayesian classifier and online gait data, online normal gait and online frozen gait probabilities are obtained in the online walking process, andthe detection result is obtained. The method is advantaged in that the frozen gait can be rapidly and accurately detected in real time, and the patient is timely facilitated to recover to realize walking and normal movement.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to an online detection method for frozen gait. Background technique [0002] Parkinson's disease (PD) is a common neurodegenerative disease, the main clinical features of which include slowness and loss of movement, rigidity and shaking of limbs, and possibly some abnormalities of posture and gait. The disease mostly occurs in the elderly, and the average age of onset is about 60 years old, and the age of onset of the disease has a downward trend in recent years. [0003] Freezing of Gait (hereinafter referred to as FOG) is the most common symptom in patients with advanced Parkinson's disease. It is mainly manifested as a temporary block of movement. The sudden onset of FOG will cause walking obstacles or even falls in patients, reducing their quality of life. . Therefore, it is particularly important to detect the gait of PD patients in real time during walking, and to g...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N99/00G16H50/20
CPCG16H50/20G06V40/25G06F18/24155
Inventor 赵金任康施翼凌云陈仲略
Owner GYENNO TECH
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