Device for Detecting Tremors for Neurological Disorders


Florida International University (FIU) is seeking a business partner to develop and commercialize a device that can be used for detecting, quantifying, and classifying the tremors for accurate clinical evaluations. Tremors, one of the most common movement disorders, are associated with several factors such as aging, and certain neurological disorders like Parkinson’s disease (PD).

This technology uses an inexpensive hardware-software assimilated design to analyze the effectiveness of repetitive Transcranial Magnetic Stimulation (rTMS) on patients with PD and other related disorders before, during, and after the stimulation-based treatment. The system consists of a hardware design solution that detects, acquires, and stores data collected in 3 dimensions, and a software module that acquires tremor signals, processes the information and synchronizes the trigger of the TMS via the hardware component. It also provides a graphical user interface that guides the development of patient-specific mechanisms required for biofeedback treatment.

The strategy behind this integrated 3D Tremor-Stimulation-Biofeedback (TSB) Detector design is to provide customized magnetic stimulation of the brain according to the given tremor frequency of each patient. This technology allows for new understanding on how repetitive stimulation is best applied to patients.


The system can be used for analysis and practical sessions using the non-invasive brain stimulation.

The system allows for the appropriate intensity and repetition rate of stimulation while continuously monitoring the tremor signals under patient-specific biofeedback sessions. The behavior of the deflections of the tremor signals in response to TMS could predict and assess the reliability of subsequent treatment.

Tool to encourage patients to seek early interventions and treatments.

  • Augments the capabilities of any TMS machine.
  • Most effective treatment sessions because of its bidirectional link provides synchrony between the frequency observed in the tremor signals and the TMS parameters to be implemented.
  • Acquires and analyzes data in real-time and automatically issues appropriate control signals for the selection of the most appropriate TMS mode of operation.
  • Quantification of tremors in drug usage that cause tremors.

For additional information about this technology opportunity, please contact Shantanu Balkundi at or by phone at 305-348-0008 and ask about record IP 1403.