FPGA based Tremor Sensing and Minimization Using Non-Invasive Techniques

Tremor is a neurological disorder which causes unintentional, rhythmic muscle movement involving to-and-fro movements (oscillations) of one or more parts of the body. It is the most common of all involuntary movements and can affect the hands, arms, head, face, voice, trunk, and legs. Most tremors occur in the hands.  Tremor is generally caused by problems in parts of the brain that control muscles throughout the body or in particular areas, such as the hands. Different types of tremor are Essential, Parkinsonian, Dystonic, Cerebellar, Psychogenic and Physiologic tremor. Deep brain simulation is the most common invasive technique  used  for  tremor  surgery  but  this  project  focus  on  non-invasive techniques for tremor control using multichannel sensors terminated on FPGA. Moreover the sensing is based on tremor occurrence at rest not during action. Understanding of different techniques used for tremor minimization (i.e. SVM)

• Literature survey on tremor occurrence and causes
• Non-invasive techniques used for sensing and acquisition
• Component selection for brain computer interface
• Implementation on FPGA based development platform
• Hardware interfacing with FPGA
• Development of a tremor model based on selective case study
• Selection of tremor minimization Algorithm and their implementation
• Validation of the results
• Thesis writing