Quantization evaluating device and method for dyskinesia symptoms of Parkinson and related extrapyramidal diseases

Abstract

The invention discloses a quantization evaluating device and method for dyskinesia symptoms of Parkinson and related extrapyramidal diseases. The device comprises an S-shaped gait channel, a finger inertia element node, a body inertia element node, a high-speed image collection unit, a central computer, an inertia element synchronization box, a synchronization state lamp, a wireless router, a switch and a power supply. The method comprises the steps of starting initialization of devices and starting the devices, adding basic information of testing personnel or searching existing testing personnel, selecting a collection mode, synchronizing a data collection unit module, collecting, displaying and storing data under assigned actions in real time, analyzing the data, and storing and printing quantization evaluating results. According to the quantization evaluating device and method for the dyskinesia symptoms of the Parkinson and related extrapyramidal diseases, the subjective evaluating method depending on the experiment of clinicians is thoroughly changed, and the device and method have improved theoretical value and realistic guidance significance on treatment of patients with dyskinesia, making of rehabilitation schemes and judgment of the curative effect and a prognosis.

Description

technical field [0001] The invention relates to the fields of sensor technology, biomedical engineering, medical and health care, rehabilitation medicine, ergonomics, etc., and particularly relates to a device and method for quantitatively evaluating symptoms of Parkinson's and related extrapyramidal diseases. Background technique [0002] Extrapyramidal system diseases, also known as movement disorders, refer to a large class of diseases in which the regulation of voluntary movement is dysfunctional, but muscle strength, sensation and cerebellar functions are generally not affected. Several typical extrapyramidal diseases include Parkinson's disease and various Parkinson's syndromes, hepatolenticular degeneration, Huntington's disease, etc. The main clinical manifestations are dystonia (muscle tension is too high or too low) and voluntary Dysfunction of motor regulation (including tremor, athetosis, dance-like movement, posture and gait disorder, torsional spasm, etc.), suc...

AI Technical Summary

Problems solved by technology

[0004] 1. Relying on the clinical experience of doctors, the subjectivity and differences are strong; in clinical work, it is often seen that different doctors have great differences in the diagnosis, treatment and prognosis of the same extrapyramidal disease or even the same patient ;

[0005] 2. The evaluation can only be done by professional physicians in the hospital, without the ability of remote monitoring and evaluation; the timing of the onset of some movement disorder symptoms has great uncertainty, and often patients do not show obvious symptoms when they go to the hospital. Physicians can only judge by asking patients and family members whether they have such symptoms, which will have a greater impact on the final scoring results;

[0006] 3. Physicians spend a lot of time and energy. Extrapyramidal diseases are chronic diseases. Whether it is the deterioration of symptoms or the recovery of motor function, it is a long-term development process, and there may be recurrences during the period. Therefore, the physician's scale score is not It can be judged simply once or several times, and multiple follow-up visits are required, and the duration may be as long as 3 to 6 months

Researchers have developed a variety of quantitative evaluation devices, but due to the various manifestations of movement disorder symptoms, such as polytremor, posture and gait disorders, bradykinesia, etc., the existing devices often focus on a certain The measurement and evaluation of various movement disorders, and most of them are still used in the laboratory, and have not been universally promoted and applied clinically.

Images