Diagnosis of Parkinson's disease: A limit cycle approach

التفاصيل البيبلوغرافية
العنوان: Diagnosis of Parkinson's disease: A limit cycle approach
المؤلفون: Vrutangkumar V. Shah, Harish J. Palanthandalam-Madapusi, Gaurav Kumar Singh
المساهمون: 2013 IEEE International Conference on Control Applications, CCA 2013
المصدر: CCA
بيانات النشر: IEEE, 2013.
سنة النشر: 2013
مصطلحات موضوعية: medicine.medical_specialty, Parkinson's disease, business.industry, Involuntary motor response, Parkinson disease diagnosis, Control-system analogy, Disease, medicine.disease, nervous system diseases, Unintended oscillatory motion, Patient diagnosis, Physical medicine and rehabilitation, Limit cycle, Limit cycle approach, Medicine, business, Simulation, Parkinsonian tremor
الوصف: Parkinson's disease is characterized by increased reaction times in both voluntary and involuntary motor responses and often results in unintended oscillatory motion of body parts, termed as Parkinsonian tremor. A simple and efficient method for diagnosing Parkinson's disease is still not available and furthermore, on the correct diagnosis of Parkinson's disease, estimating the severity of the disease is challenging. This is particularly important since the medications typically prescribed to address the symptoms of Parkinson's disease have adverse side effects and thus the dosages have to be finely optimized. In this paper, based on a systems theory perspective and a recently suggested control-system analogy [11], a simple method for the diagnosis of Parkinson's disease is explored. This paper also discusses the possibility of developing a low-cost diagnostic device and strategies for the same. Future work will focus on using data from real patients to validate the hypotheses and results in this paper.
by Gaurav K. Singh, Vrutang kumar V. Shah and Harish Palanthandalam-Madapusi
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313a03c074941038c0174b04b4c1255cTest
https://doi.org/10.1109/cca.2013.6662767Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....313a03c074941038c0174b04b4c1255c
قاعدة البيانات: OpenAIRE