
 
 
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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