Electricity monitoring method and electric quantity monitoring system of a brain pacemaker

Abstract

The invention relates to a power monitoring method of a deep brain stimulator and a power monitoring system employing the method. The method comprises the steps of acquiring the stimulation parameters of a deep brain stimulator, calculating the battery-related parameters of the deep brain stimulator through a support vector machine prediction model, and displaying the calculated battery parameters to a user. According to the power monitoring method and the power monitoring system of a deep brain stimulator provided by the invention, the power of a deep brain stimulator can be predicted with high precision. Through the prediction scheme, DBS power monitoring and service life assessment under each stimulation parameter combination and patient's individual condition based on clinical specificity can be realized. The method and the system are of certain reliability, and can be applied to clinical practice eventually.

Description

technical field [0001] The present invention relates to the related technical field of medical devices, in particular, to an implantable medical device (Implantable Medical Device, IMD). Background technique [0002] Brain pacemaker, also known as deep brain stimulation (Deep Brain Stimulation, DBS), is currently an effective technology for the treatment of advanced and drug-refractory movement disorders and mental disorders. Especially in the treatment of Parkinson's disease, the curative effect is remarkable. Recent research results show that brain pacemakers can also be used to treat Alzheimer's disease, obsessive-compulsive disorder, depression and other mental diseases. see figure 1 The implementation device of deep brain stimulation is brain pacemaker, which is a set of implantable microelectronic devices, including pulse generator (IPG), electrodes and extension wires. After the brain pacemaker is stimulated, the pulse generator will generate continuous electrical ...

AI Technical Summary

Problems solved by technology

Inaccurate battery life prediction will lead to premature DBS replacement surgery, resulting in waste of battery and property loss of patients; or late replacement surgery resulting in unplanned downtime, which is detrimental to the treatment effect

For patients with DBS indications, the adjustment of stimulation parameters (amplitude, frequency, pulse width) after surgery is the most important means to ensure the curative effect. Almost every DBS implanter will go through the process of parameter adjustment. It is suitable for typical (commonly used) stimulation parameter combinations, and each adjustment of stimulation parameters will bring about the accumulation of errors, which makes the prediction results very unreliable and cannot be applied clinically

But from a practical point of view, this approximate estimation method can only be used at present, because without considering the impedance, there are more than one million combinations of the three stimulation parameters of amplitude, frequency, and pulse width. There are more than 500,000 combinations, and it is obviously impractical to measure the power consumption under each parameter combination

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