Figure 3: Flow of information.
3.1 Data Collection
Accelerometers inherently produce a small amount
of noise, and the iPhone accelerometer is no
different. iTrem compensates for with custom filters
and data smoothing algorithms. To date, the
collected data has been consistent. Validation has
been performed by comparing results from iTrem
with results gathered by the Mayo clinic using their
measurement instrumentation. More rigorous
validation will occur in the next phase of
development with the use of a motion capture
system. Using the high fidelity tracking capabilities
of the modern IR-based motion capture systems
iTrem will be able to measure in 3 dimensions hand
tremor displacement and compare that with the data
collected by the iTrem application.
4 FUTURE DEVELOPMENT
While continuing to develop the tremor tests the
iTrem team is now collaborating with a Movement
Disorder Specialist (MDS) and clinical researcher
whose specialty is the study and treatment of
Parkinson’s disease. The MDS has agreed to
determine the effectiveness of iTrem as a tool in the
exam room as well as the validity of the
measurements.
Simple games are also being developed to record
tremor data. The game is designed so that the motion
of the game play can be filtered out to reveal the
tremor data. Games also offer the capability to
gather baseline data from individuals without tremor
who are willing to play the game and contribute their
movements to the tremor database as well as allow
for the collection of data from patients who are
focusing on using tremor affect hands and arms to
perform tasks such as keep a character in the game
still.
ACKNOWLEDGEMENTS
Funding for this effort to date has been provided by
of the Georgia Tech Research Institute Electro-
Optical Systems Laboratory’s Landmarc Research
Center through Internal Research and Development
funding.
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