Parkinson's disease monitoring system based on virtual keyboard

Abstract

The invention provides a Parkinson's disease monitoring system based on a virtual keyboard. The Parkinson's disease monitoring system comprises a monitoring terminal with a virtual keyboard input function and a server, wherein the monitoring terminal is used for acquiring a plurality of keyboard input time points, a plurality of backspace key input character numbers and a plurality of monitoring key input character numbers which are input by a user to the virtual keyboard; sending the plurality of keyboard input time points, the plurality of backspace key input character numbers and the plurality of monitoring key input character numbers to a server; the server is used for counting the number of the keyboard input time points to obtain the number of clicks; calculating the input time points of the plurality of keyboards and the click times to obtain an average input rate v; and analyzing the number of the input characters of the plurality of backspace keys and the number of the input characters of the plurality of monitoring keys to obtain a deletion rate x. By means of the device, the workload of medical staff can be reduced, time, manpower and material resources are saved, and the working efficiency of the medical staff is improved.

Description

technical field [0001] The present invention mainly relates to the technical field of medical monitoring, in particular to a Parkinson's condition monitoring system based on a virtual keyboard. Background technique [0002] Today, Parkinson's disease has become the second most common neurodegenerative disease in the world, with an average age of diagnosis of 62 years. Over the next 20 years, as the world's aging population increases, more and more people will suffer from the condition. Unfortunately, so far there is no effective treatment for this condition. However, early diagnosis of the disease and then taking some health care methods are extremely important for delaying the severe dyskinesia symptoms of the disease. Early diagnosis of Parkinson's disease is mainly based on the accurate detection of tremors that often occur in the hands. This hand tremor is divided into three types: rest tremor, postural tremor and action tremor, wherein rest tremor is the most common....

AI Technical Summary

Problems solved by technology

However, it will waste a lot of human resources to let medical staff actively observe and draw conclusions, and the method of using inertial sensor equipment is not only inconvenient to use but also extremely expensive

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