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Quantitative evaluation method for Parkinson's motion symptoms based on wearable sensing device

A sensing device and quantitative evaluation technology, applied in the direction of sensors, neural learning methods, character and pattern recognition, etc., can solve problems such as inaccuracy, slowness, and inability to truthfully reflect the patient's condition, and achieve a wide range of applications and excellent real-time performance , The effect of simple principle

Pending Publication Date: 2022-03-25
FUZHOU UNIV
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Problems solved by technology

Although this method is simple and convenient, and is widely used by clinicians, it still has shortcomings: (1) This method is not suitable for the diagnosis of Parkinson's patients whose prodromal motor symptoms are not obvious; (2) It cannot quantitatively reflect the patient's motor (3) unable to truthfully reflect the patient's condition
The traditional upright test with eyes closed can only observe whether the subject stands unsteadily or falls over, and cannot quantify the degree of balance disorder of the patient and the recovery after treatment, which has certain inaccuracies
[0007] At present, some researchers have used wearable devices to quantify Parkinson's motor symptoms, but these studies are mostly carried out on a certain motor symptom, and cannot comprehensively evaluate Parkinson's disease

Method used

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  • Quantitative evaluation method for Parkinson's motion symptoms based on wearable sensing device
  • Quantitative evaluation method for Parkinson's motion symptoms based on wearable sensing device
  • Quantitative evaluation method for Parkinson's motion symptoms based on wearable sensing device

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Embodiment Construction

[0080] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0081] Such as Figure 1-10 As shown, a method for quantitative evaluation of Parkinson's motor symptoms based on a wearable sensor device of the present invention comprises the following steps:

[0082] Step 1. Arrange the sensors on the wrists, fingers and ankles of the human body, place the flexible tactile sensors, initialize the sensors, and set the detection parameters;

[0083]Step 2. The user uses each sensor to detect various test tasks at the same time, completes the data collection of the user's static, postural and kinematic tremor, muscle stiffness and balance obstacles, and displays various motion data to the user in real time through the connected computer ;

[0084] Step 3, preprocessing the collected raw sequence data;

[0085] Step 4, extracting the characteristics of the preprocessed sequence data and the drawing dat...

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Abstract

The invention relates to a Parkinson's motion symptom quantitative evaluation method based on a wearable sensing device. The method comprises the steps of initializing a sensor, obtaining original data of multiple typical motion symptoms of the Parkinson's patient, preprocessing the original data, extracting feature data, quantifying each motion symptom of the Parkinson's patient by means of a trained neural network, and performing comprehensive evaluation based on the quantification result. According to the Parkinson's motion symptom quantitative evaluation method based on the wearable sensing device provided by the invention, each Parkinson's motion symptom of the user can be quantified in a standard manner without accompanying by a professional doctor, and the Parkinson's disease or recovery condition of the user can be comprehensively evaluated; therefore, the Parkinson's disease can be monitored by a user at home in daily life. Meanwhile, the system device provided by the method is simple in principle, convenient to use, high in safety, excellent in real-time performance, high in precision and wide in application range.

Description

technical field [0001] The invention relates to the fields of flexible electronics, data analysis and medical monitoring, in particular to a method for quantitative evaluation of Parkinson's motor symptoms based on a wearable sensor device. Background technique [0002] Parkinson's disease is a chronic degenerative disorder of the central nervous system that impairs motor, speech, and other functions. According to statistics, in 2020, the number of people suffering from the disease in the world has exceeded 10 million, and the prevalence rate of people aged 65 and above is 2%. There are more than 3 million Parkinson's patients in my country, among which the incidence rate of middle-aged and elderly people over 65 years old is 1.7%, and the number of patients accounts for about one-third of the total number of patients in the world. Parkinson's disease is the third killer of middle-aged and elderly people after malignant tumors and cardiovascular and cerebrovascular diseases...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/11G06V10/764G06K9/62G06N3/04G06N3/08
CPCA61B5/4082A61B5/1101A61B5/1116A61B5/4023A61B5/725A61B5/7203A61B5/7267G06N3/08G06N3/047G06N3/044G06N3/045G06F18/2414G06F18/2415
Inventor 何炳蔚解相杰张月洪文尧阴翔宇
Owner FUZHOU UNIV
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