An ambulatory BCI-driven tremor suppression system based on functional electrical stimulation
Starting date: 01/09/2008; closing date: 31/08/2011; total project cost: 2,820,269 Euros; total EC funding: 2,140,000 Euros.
Tremor is the most common movement disorder and it is strongly increasing in incidence and prevalence with ageing. More than 65% of the population with upper limb tremor presents serious difficulties in performing activities of daily living (ADL). Tremor is not life-threatening, but it can be responsible for functional disability and social inconvenience. It is typically managed by means of drugs, surgery (thalamotomy), and deep brain stimulation, but treatments are not effective in approximately 25% of patients.
The main objective of the project was to validate, technically, functionally and clinically, the concept of mechanically suppressing tremor through selective Functional Electrical Stimulation (FES) based on a (Brain-to-Computer Interaction) BCI-driven detection of involuntary (tremor) motor activity:
The system detects and monitors involuntary motor activity (tremor) through a multimodal BCI. The BCI combine s CNS (Electroencephalography, EEG) and PNS (Electromyography, EMG) data with biomechanical data (Inertial Measurement Units, IMUs) in a sensor fusion approach. Tremor system models and tracks tremor and voluntary motion.
It also include a multi-channel array FES system for selective stimulation of muscles for tremor suppression while reducing the influence on voluntary motion.
The system suits potential user expectations in terms of cosmetics, functionality and aesthetics.
TREMOR proposes a multimodal BCI in which the main goal is identifying, characterizing and tracking involuntary motor bioelectrical activity as a command to trigger a biomechanical suppression of tremor.