Literature DB >> 28814041

Assessing bradykinesia in Parkinson's disease using gyroscope signals.

S Summa, J Tosi, F Taffoni, L Di Biase, M Marano, A Cascio Rizzo, M Tombini, G Di Pino, D Formica.   

Abstract

Parkinson's disease (PD) is a neurodegenerative brain disorder that slowly brings on the dopaminergic neurons death. The depletion of the dopaminergic signal causes the onset of motor symptoms such as tremor, bradykinesia and rigidity. Usually, neurologists regularly monitor motor symptoms and motor fluctuations using the MDS-UPDRS part III clinical scale. Nevertheless, to have a more objective and quantitative evaluation, it is possible to assess the cardinal motor symptoms of PD using wearable sensors and portable robotic devices. Unfortunately while there are several research papers on the use of these devices on PD patients, their use is not so common in clinical practice. In this work we recorded specific MDS-UPDRS motor tasks using magneto-inertial devices, worn by seven PD subjects and seven age-matched controls, in order to deeply analyze the kinematic and dynamic characteristics of goal-directed movements of upper limb, in addition to extract quantitative indices (peak velocity, smoothness, etc) useful for the assessment of motor symptoms. Using only gyroscope signals we looked at those parameters useful to assess bradykinesia. We observed parameters changes from OFF to ON phase congruent with the MDS-UPDRS changes, especially in the frequency domain. Our results suggest the prono-supination task is the more consistent to describe the bradykinesia symptom with the gyroscopes. Probably because of the amplitude of the movement performed. Moreover the peak power looks appropriate for bradykinesia symptom evaluation. We can conclude that, similar to the studies in which tremor symptom is evaluated, it is possible to monitor the bradykinesia using few wearable sensors and few simple parameters.

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Year:  2017        PMID: 28814041     DOI: 10.1109/ICORR.2017.8009469

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  9 in total

Review 1.  Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature.

Authors:  Itay Teshuva; Inbar Hillel; Eran Gazit; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
Journal:  J Neural Transm (Vienna)       Date:  2019-05-22       Impact factor: 3.575

2.  Towards motor evaluation of Parkinson's Disease Patients using wearable inertial sensors.

Authors:  Vibha Anand; Erhan Bilal; Bryan Ho; John J Rice
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Quantitative Analysis of Bradykinesia and Rigidity in Parkinson's Disease.

Authors:  Lazzaro di Biase; Susanna Summa; Jacopo Tosi; Fabrizio Taffoni; Massimo Marano; Angelo Cascio Rizzo; Fabrizio Vecchio; Domenico Formica; Vincenzo Di Lazzaro; Giovanni Di Pino; Mario Tombini
Journal:  Front Neurol       Date:  2018-03-06       Impact factor: 4.003

Review 4.  Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring.

Authors:  Lazzaro di Biase; Alessandro Di Santo; Maria Letizia Caminiti; Alfredo De Liso; Syed Ahmar Shah; Lorenzo Ricci; Vincenzo Di Lazzaro
Journal:  Sensors (Basel)       Date:  2020-06-22       Impact factor: 3.576

5.  Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors.

Authors:  Nicholas Shawen; Megan K O'Brien; Sanjeev Venkatesan; Luca Lonini; Tanya Simuni; Jamie L Hamilton; Roozbeh Ghaffari; John A Rogers; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2020-04-20       Impact factor: 4.262

6.  Moving towards intelligent telemedicine: Computer vision measurement of human movement.

Authors:  Renjie Li; Rebecca J St George; Xinyi Wang; Katherine Lawler; Edward Hill; Saurabh Garg; Stefan Williams; Samuel Relton; David Hogg; Quan Bai; Jane Alty
Journal:  Comput Biol Med       Date:  2022-06-21       Impact factor: 6.698

7.  A method for measuring time spent in bradykinesia and dyskinesia in people with Parkinson's disease using an ambulatory monitor.

Authors:  Hamid Khodakarami; Navid Shokouhi; Malcolm Horne
Journal:  J Neuroeng Rehabil       Date:  2021-07-16       Impact factor: 4.262

8.  A new method of measuring the thumb pronation and palmar abduction angles during opposition movement using a three-axis gyroscope.

Authors:  Tomoyuki Kuroiwa; Koji Fujita; Akimoto Nimura; Takashi Miyamoto; Toru Sasaki; Atsushi Okawa
Journal:  J Orthop Surg Res       Date:  2018-11-16       Impact factor: 2.359

9.  Touchscreen-based finger tapping: Repeatability and configuration effects on tapping performance.

Authors:  Soma Makai-Bölöni; Eva Thijssen; Emilie M J van Brummelen; Geert J Groeneveld; Robert J Doll
Journal:  PLoS One       Date:  2021-12-07       Impact factor: 3.240

  9 in total

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