Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor

@article{Sam2012DyskinesiaAM,
  title={Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor},
  author={Albert Sam{\`a} and Carlos P{\'e}rez-L{\'o}pez and J. Romagosa and Daniel Rodr{\'i}guez Mart{\'i}n and Andreu Catal{\`a} and Joan Cabestany and David A P{\'e}rez-Mart{\'i}nez and Alejandro Rodr{\'i}guez-Molinero},
  journal={2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2012},
  pages={1194-1197}
}
Parkinson's Disease (PD) is a neurodegenerative disease that alters the patients' motor performance. Patients suffer many motor symptoms: bradykinesia, dyskinesia and freezing of gait, among others. Furthermore, patients alternate between periods in which they are able to move smoothly for some hours (ON state), and periods with motor complications (OFF state). An accurate report of PD motor states and symptoms will enable doctors to personalize medication intake and, therefore, improve… CONTINUE READING
Highly Cited
This paper has 66 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 1 time. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 27 extracted citations

Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer

Artificial Intelligence in Medicine • 2016
View 8 Excerpts
Method Support
Highly Influenced

Internet of Things Technologies for HealthCare

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering • 2016
View 10 Excerpts
Method Support
Highly Influenced

Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) • 2016
View 5 Excerpts
Highly Influenced

A novel analytical approach to assess dyskinesia in patients with Parkinson disease

2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) • 2018
View 1 Excerpt

66 Citations

01020'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 66 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Time Series Analysis of inertialbody signals for the extraction of dynamic properties from human gait ”

D. Pardo A. Samà, J. Cabestany, A. Rodríguez-Molinero
Proc . Int . J . Conf . Neur . Netw . • 2009

Extracting Gait Spatiotemporal Properties from Parkinson ' s Disease Patients ”

A. Català A. Samà, A. Rodríguez-Molinero, C. Angulo
Neural Information Processing Systems , Mini Symposia on Assistive Machine Learning for People with Disabilities • 2003

An ambulatory dyskinesia monitor.

Journal of neurology, neurosurgery, and psychiatry • 2000