Progress of DBS devices in treating essential tremor with self-adaptation function

Abstract

Nowadays, Deep Brain Stimulation (DBS) has been used in the surgical treatment of various neurological diseases, such as Essential Tremor (ET). For severe cases, surgical treatment with DBS can suppress the disease better than drug therapy. However, existing DBS devices require the physician to manually set the parameters frequently to achieve the desired therapeutic effect. In this case, adaptive DBS devices become a possible solution for this problem. Adaptive DBS equipment still faces some problems, such as the choice of implementation method, data security and how to ensure that it will not cause serious damage to human body in clinical trials. In this paper, three kinds of adaptive DBS are analyzed, including their mechanism and core algorithms. This paper can provide reference for those who study DBS devices, those who study the application of machine learning algorithms to adaptive devices, and those who want to know about adaptive DBS devices.