Our long-term goal is to employ smartphone-embedded sensors to measure various neurological functions in a patient-autonomous manner. The interim goal is to develop simple smartphone tests and evaluate the clinical utility of these tests by selecting optimal outcomes that correlate well with clinician-measured disability in different neurological domains.
We hypothesized that aggregating data from two simple smartphone tests of fine finger movements with differing contributions of specific neurological domains ( strength, cerebellar functions, vision, and reaction time) will allow establishment of secondary outcomes that reflect domain-specific deficit.
This hypothesis was tested by assessing correlations of smartphone-derived outcomes with relevant parts of neurological examination in multiple sclerosis patients. We developed a mobile app consisting of two simple tests: Finger Tapping and Balloon Popping.
The study consisted of 76 multiple sclerosis (MS) patients and 19 healthy volunteers (HV). The balloon popping and finger tapping tests were self-administered by the participants while the 9-hole peg test (9HPT) was administered by an investigator.
The primary outcomes of smartphone tests, the average number of taps and the average number of pops differentiated MS from HV with similar power to traditional, investigator-administered test of fine finger movements of 9HPT.