Motion delay and tremor quantitatively detecting device and detecting method

Abstract

The present invention discloses a motion delay and tremor quantitatively detecting device and detecting method, and relates to the field of medical instruments. The motion delay and tremor quantitatively detecting method and device disclosed by the present invention are implemented through cooperation of software in combination with hardware electronic devices. According to the scheme of the present invention, fine pen data input by a subject by using an electronic pen is captured and analyzed through deep learning and big data methods, and the motion time, the median motion speed, the acceleration maximum value, the tremor frequency, the tremor amplitude, and the position (x,y) of the pen during handwriting of the subject, a motion trajectory within 1 cm from the plane written by using the electronic writing input device, dynamics indicators such as the speed and the acceleration, and other data are obtained, so that a solution of an auxiliary detection and medication effect trackingmethod for quantifiable objective indicators of the motion delay and tremor (especially in the early stages) is provided from the perspective of typical motion delay and tremor core symptoms such as the tremor, the motion delay, the spasticity and the like.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to an auxiliary quantitative detection method for bradykinesia and tremor, combining software and hardware, and an overall quantitative auxiliary detection method and device solution. Background technique [0002] The diagnosis of bradykinesia and tremor and the tracking of the drug effect of the subjects mainly rely on the subjective judgments accumulated by doctors over the years of clinical experience, and the training of professional doctors mainly relies on face-to-face professors and continuous accumulation of cases. Due to the lack of objective and quantifiable diagnostic methods, early diagnosis of bradykinesia and tremor is difficult, and even if obvious symptoms appear, inexperienced physicians are likely to confuse them with other diseases with similar symptoms, resulting in misdiagnosis. [0003] At present, the most helpful auxiliary examination method is DAT: dopamine re...

AI Technical Summary

Problems solved by technology

Due to the lack of objective and quantifiable diagnostic methods, early diagnosis of bradykinesia and tremor is difficult, and even if there are obvious symptoms, inexperienced physicians are likely to be confused with other diseases with similar symptoms, resulting in misdiagnosis

[0003] At present, the most helpful auxiliary examination method is DAT: dopamine receptors are visualized by binding receptor ligands, and the results are detected by nuclear magnetic resonance methods; disadvantages: expensive, and the most obvious defects are invasive and radioactive, which is not conducive to widespread to promote

UPDRS Scale: Tested by the British authoritative brain bank, it evaluates the scores of the subjects by answering a series of design questions. The results are relatively accurate and can be used as an effective reference for doctors. The cost is low. Disadvantages: the test takes a long time and requires professional medical staff Accurate recording and scoring, insensitive to early bradykinesia and tremor, inconvenient for large-scale promotion and replication

[0004] At present, domestic research focuses on the diagnosis of the prodromal period, mostly in the direction of blood and effusion biomarkers, medical imaging, and genes. The process and verification are very troublesome, and the reproducibility and transformation are very poor

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