Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early diagnosis of Parkinson's disease

@inproceedings{Kang2015DevelopmentOA,
  title={Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early diagnosis of Parkinson's disease},
  author={Sung Jun Kang and Ji Hun Choi and Y. Kim and Hyeo-Il Ma and Unjoo Lee},
  year={2015}
}
An application ProSupino was designed for android mobile phones and to collect in real-time forearm movement data from the tri-axial accelerometer while a subject develops with one of two series of pronation and supination movement tasks 

Figures from this paper

Development of an Assessment Method of Forearm Pronation/Supination Motor Function based on Mobile Phone Accelerometer Data for an Early Diagnosis of Parkinson's Disease
TLDR
The results suggest that FPSMT could be used to collect forearm motor-related information on a daily basis, allowing for early diagnosis of patients with PD and also for constantly informing physicians about patients’ clinical status so as to quickly readjust and personalize treatment plans and minimize side effects. Expand
High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing
TLDR
Keystroke timing information was captured as subjects typed on a computer keyboard over an extended period and showed that PD affects various characteristics of hand and finger movement and that these can be detected. Expand
Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
  • Aaron Spence, S. Bangay
  • Medicine, Computer Science
  • IEEE Journal of Translational Engineering in Health and Medicine
  • 2020
Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data isExpand

References

SHOWING 1-5 OF 5 REFERENCES
Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores
TLDR
This work compares quantitative measurements of hand tremor in twenty-three Parkinson's disease patients, with their clinical scores in theHand tremor components of the Unified Parkinson's Disease Rating Scale (UPDRS), which is considered the “gold standard” in the clinical assessment of the disease. Expand
Wireless accelerometer configuration for monitoring Parkinson's disease hand tremor
Parkinson’s disease is neurodegenerative in nature and associated with characteristic movement disorders, such as hand tremor. Wireless accelerometer applications may advance the quality of care forExpand
High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones
TLDR
This study objectively measure and quantify key movement severity symptoms of Parkinson's disease using consumer-grade smartphones with in-built accelerometers, and extracts a range of different features based on the time and frequency-domain properties of the acceleration time series. Expand
Early Diagnosis of Parkinson's Disease Using a Smartphone
TLDR
A PDR-based method to continuously monitor and record the patient's gait characteristics using a smart-phone could be useful in providing an early warning to the PD patient to seek medical assistance and help the doctor diagnose the disease earlier. Expand