Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment

Erika Rovini, Dario Esposito, Laura Fabbri, Silvia Pancani, Federica Vannetti, Filippo Cavallo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parkinson's disease (PD) is a highly-disabling common neurodegenerative disease. The current method to diagnose PD is mainly based on clinical criteria and motor examination of the performance of the patients that are visually evaluated by the neurologist while they performed tasks from MDS-UPDRS. In order to support the clinician in objective assessment of the motor performance, sensorized wearable technology able to finely measure the motion are currently investigated. Since accuracy and precision of the measures are mandatory to provide the neurologist with a tool that can actually be applied in clinical practice, in this work, the quality of measures obtained by the SensHand system was evaluated, comparing them to an optoelectronic 'gold standard' system addressing a preliminary technical validation. Three exercises (i.e., finger tapping, thumb-forefinger tapping, and pronosupination) were selected and frequency, number of repetitions and amplitude of the movements were measured for each of them by both the wearable and optical systems. The preliminary results were very satisfying, considering that discrepancies, measured as absolute error, in frequency evaluation, number of repetitions, and amplitude movement were, on average, equal to 0.03 taps/s(min0.02, max0.05), 0.07 tap (min 0.02, max 0.13), and 3.8 degrees (min 1.81, max7.47), respectively. Very high correlation values obtained from linear regression analysis (R2>0.9) also confirmed the accuracy of the measurements achieved with SensHand. Therefore, the obtained results from SensHand system are promising to use it to support the neurologist for accurate quantification of motion analysis to improve the objective PD evaluation.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112732
DOIs
Publication statusPublished - Jul 1 2019
Event5th IEEE International Symposium on Measurements and Networking, M and N 2019 - Catania, Italy
Duration: Jul 8 2019Jul 10 2019

Publication series

Name2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings

Conference

Conference5th IEEE International Symposium on Measurements and Networking, M and N 2019
CountryItaly
CityCatania
Period7/8/197/10/19

Fingerprint

Parkinson disease
evaluation
taps
Neurodegenerative diseases
repetition
Linear regression
Regression analysis
Optical systems
Optoelectronic devices
physical exercise
regression analysis
examination

Keywords

  • accuracy
  • inertial measurement units
  • kinematic analysis
  • optoelectronic system
  • system validation
  • upper limb motor assessment
  • wearable inertial sensors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Instrumentation

Cite this

Rovini, E., Esposito, D., Fabbri, L., Pancani, S., Vannetti, F., & Cavallo, F. (2019). Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment. In 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings [8804990] (2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWMN.2019.8804990

Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment. / Rovini, Erika; Esposito, Dario; Fabbri, Laura; Pancani, Silvia; Vannetti, Federica; Cavallo, Filippo.

2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8804990 (2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rovini, E, Esposito, D, Fabbri, L, Pancani, S, Vannetti, F & Cavallo, F 2019, Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment. in 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings., 8804990, 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Symposium on Measurements and Networking, M and N 2019, Catania, Italy, 7/8/19. https://doi.org/10.1109/IWMN.2019.8804990
Rovini E, Esposito D, Fabbri L, Pancani S, Vannetti F, Cavallo F. Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment. In 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8804990. (2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings). https://doi.org/10.1109/IWMN.2019.8804990
Rovini, Erika ; Esposito, Dario ; Fabbri, Laura ; Pancani, Silvia ; Vannetti, Federica ; Cavallo, Filippo. / Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment. 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings).
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