AI Article Synopsis

  • Tremors are involuntary rhythmic movements that can occur in the body and may be linked to various health conditions and can be evaluated using different devices with embedded sensors.
  • This study compared the effectiveness of quantifying hand tremors using a lightweight wearable device and a commercial smartphone in healthy young adults, focusing on resting and postural hand tremors.
  • Results showed that the smartphone provided clearer and stronger readings of tremor frequency and amplitude than the lightweight device, indicating that the mass of the device can influence the assessment of tremor characteristics.

Article Abstract

Tremors are common disorders characterized by an involuntary and relatively rhythmic oscillation that can occur in any part of the body and may be physiological or associated with some pathological condition. It is known that the mass loading can change the power spectral distribution of the tremor. Nowadays, many instruments have been used in the evaluation of tremors with bult-in inertial sensors, such as smartphones and wearables, which can significantly differ in the device mass. The aim of this study was to compare the quantification of hand tremor using Fourier spectral techniques obtained from readings of accelerometers built-in a lightweight handheld device and a commercial smartphone in healthy young subjects. We recruited 28 healthy right-handed subjects with ages ranging from 18 to 40 years. We tested hand tremors at rest and postural conditions using lightweight wearable device (5.7 g) and smartphone (169 g). Comparing both devices at resting tremor, we found with smartphone the power distribution of peak ranging 5 and 12 Hz in both hands. With wearable, the result was similar but less evident. When comparing both devices in postural tremor, there were significant differences in both frequency ranges in peak frequency and peak amplitude in both hands. Our main findings show that in resting condition the hand tremor spectrum had a higher peak amplitude in the 5-12 Hz range when the tremor was recorded with smartphones, and in postural condition there was a significantly (p < 0.05) higher peak power spectrum and peak frequency in the dominant hand tremors recorded with smartphones compared to those obtained with lightweight wearable device. Devices having different masses can alter the features of the hand tremor spectrum and their mutual comparisons can be prejudiced.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547012PMC
http://dx.doi.org/10.1038/s41598-022-21310-4DOI Listing

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