A smartphone-based tool for assessing parkinsonian hand tremor

  • Kostikis N
  • Hristu-Varsakelis D
  • Arnaoutoglou M
 et al. 
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Abstract

The aim of this study is to propose a practical smartphone-based tool to accurately assess upper limb tremor in Parkinson’s disease (PD) patients. The tool uses signals from the phone’s accelerometer and gyroscope (as the phone is held or mounted on a subject’s hand) to compute a set of metrics which can be used to quantify a patient’s tremor symptoms. In a small- scale clinical study with 25PDpatients and 20 age-matched healthy volunteers, we combined our metrics with machine learning tech- niques to correctly classify 82% of the patients and 90% of the healthy volunteers, which is high compared to similar studies. The proposed method could be effective in assisting physicians in the clinic, or to remotely evaluate the patient’s condition and commu- nicate the results to the physician. Our tool is low cost, platform independent, noninvasive, and requires no expertise to use. It is also wellmatched to the standard clinical examination for PD and can keep the patient “connected” to his physician on a daily basis. Finally, it can facilitate the creation of anonymous profiles for PD patients, aiding further research on the effectiveness ofmedication or other overlooked aspects of patients’ lives

Author-supplied keywords

  • Accelerometer
  • Bootstrap aggregation decision tree
  • Gyroscope
  • Machine learning
  • Parkinson's disease
  • Smartphone
  • Tremor quantification

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