Modeling method for tremor detection and hand tremor detection device and method

Abstract

The invention discloses a modeling method for tremor detection and a hand tremor detection device and method.The hand tremor detection device comprises an accelerometer used for collecting three-dimensional acceleration data, a myoelectric signal differential sensor used for collecting myoelectric data, a filtering assembly used for filtering hand tremor signals, a feature parameter extraction component used for carrying out feature extraction on the basis of the filtered hand tremor signal, and a tremor detection modeling component used for carrying out classification by utilizing a trained model and input feature parameters to obtain a detection result of the hand tremor signal. The hand tremor is detected by comprehensively and flexibly utilizing the combination of various characteristic parameters of the acceleration and the myoelectricity data, so that the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the field of medical information detection, and in particular relates to a modeling method for a hand tremor detection model, a hand tremor detection device and a method. Background technique [0002] Usually a certain part of the human body vibrates involuntarily, which is called "tremor" in medicine. Tremor is common in the limbs and head of the human body, and is one of the most common neurological diseases, such as essential tremor (ET), Parkinson's disease (PD) and so on. Limb tremor can be divided into the following two types from the mechanism of production, physiological tremor and pathological tremor. Physiological tremor is an inherent tremor of the human body. All people have this phenomenon in their limbs, but the strength is different. It occurs under the conditions of tension, excitement, and fatigue. When these reasons are eliminated, the tremor will also disappear, and the frequency of physiological tremor is m...

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Problems solved by technology

Although tremors are not life-threatening, they have brought inconvenience to many patients' lives, and severe cases may even cause patients to be unable to take care of themselves.

[0003] In early clinical practice, the evaluation of motor dysfunction symptoms in tremor patients mainly relied on rating scales, but the scale method was affected by the operating experience and subjective effects of scoring physicians, and relying on rating scales to evaluate motor function in tremor patients was not objective and accurate enough, and would It has an impact on the early diagnosis and staging of tremor patients; in recent years, patients have been equipped with wearable devices that use accelerometers to measure hand movements and then identify tremors. Physiological tremor or pathological tremor, and the measurement is easily affected by personal physiological characteristics, equipment and other noises, resulting in inaccurate measurement results and even repeated measurements

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