Abstract

<h3>Objective:</h3> 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. <h3>Background:</h3> There is a world-wide shortage of neurologists, which is predicted to only worsen as the world population ages. This shortage along with the recent Covid-related restrictions, has resulted in fewer neurological exams and this can result in a delayed diagnosis and cause suboptimal care for the patient. DTM Health worked with NIH to address this “gap in care” with a self-administered mobile app that can remotely monitor a patient’s condition. <h3>Design/Methods:</h3> 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. <h3>Results:</h3> 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. <h3>Conclusions:</h3> In the time necessary for performing 9HPT, smartphone tests provide much richer and reliable measurements of several distinct neurological functions. This data suggests that combining more creatively-construed smartphone apps may one day recreate the entire neurological examination. <b>Disclosure:</b> Marc Fischer has nothing to disclose.

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