Introduction: Smart phones are becoming ubiquitous and their computing capabilities are ever increasing. Consequently, more attention is geared toward their potential use in research and medical settings. For instance, their built-in hardware can provide quantitative data for different movements. Therefore, the goal of the current study was to evaluate the capabilities of a standalone smart phone platform to characterize tremor. Results: Algorithms for tremor recording and online analysis can be implemented within a smart phone. The smart phone provides reliable time- and frequency-domain tremor characteristics. The smart phone can also provide medically relevant tremor assessments. Discussion: Smart phones have the potential to provide researchers and clinicians with quantitative short- and long-term tremor assessments that are currently not easily available. Methods: A smart phone application for tremor quantification and online analysis was developed. Then, smart phone results were compared to those obtained simultaneously with a laboratory accelerometer. Finally, results from the smart phone were compared to clinical tremor assessments.

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The objective of this study was to determine the importance of every frequency component on total physiological tremor (PT) amplitude. We suspect that since high frequencies of PT are of lower amplitude in displacement, removing them will have little to no impact on PT amplitude. PT of the index finger was measured with a laser displacement sensor while the finger was held horizontally. Amplitude of tremor was calculated in displacement, velocity and acceleration. PT amplitude was also calculated within five frequency bands. Although displacement amplitude of oscillations within the 7.5-12.5 and 16.5-30 Hz frequency bands represent 24 and 10% of total PT oscillation amplitude, respectively, their removal reduced PT amplitude by less than 3%. Conversely, the removal of the oscillations within 1-3.5 Hz band from the PT signal reduced the amplitude of the original PT signal by 56% in displacement. This suggests that when a task to be studied involves the measurement of a reduction in tremor, focus should be on the oscillations in the 1-3.5 Hz band.

The objective of this study was to determine whether it was possible to voluntarily modulate physiological tremor (PT), i.e., reduce its amplitude. We recorded the postural index finger tremor of 30 healthy participants with a laser in four conditions: (A) eyes closed, without any attempt to modulate PT amplitude, (B) no visual feedback, trying to reduce PT amplitude, (C) visual feedback, trying to reduce PT amplitude. For conditions B and C, subjects were asked to avoid using muscle contraction as a means to stabilize the finger. Finally, (D) subjects were asked to reduce PT amplitude using voluntary muscle contraction to stabilize the finger. We used electromyography to monitor the extensor digitorum communis and flexor digitorum superficialis. Total amplitude of PT did not change significantly between conditions A and B. In condition C, a significant decrease of PT amplitude was observed. A significant increase in tremor amplitude was observed in D compared with other conditions, confirming that co-contraction was not used to modulate the amplitude of PT in other conditions. Subsequently, we formed three subgroups based on their ability to modulate PT: Most Improved (n = 7), Least Improved (n = 16) and Not Improved (n = 7). Although oscillations within the low frequency bands increased only in the Not Improved group, oscillations within the 8-12 and 16-30 Hz bands either remained stable or decreased for all participants, supporting a disassociation between mechanical-reflex and central components of PT. Our results show that it is possible to voluntarily modulate PT. Therefore, a cortical influence is being exerted on tremor.