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.

Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment / Rovini E.; Esposito D.; Fabbri L.; Pancani S.; Vannetti F.; Cavallo F.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno 5th IEEE International Symposium on Measurements and Networking, M and N 2019 tenutosi a ita nel 2019) [10.1109/IWMN.2019.8804990].

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

Rovini E.;Cavallo F.
2019

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.
2019
2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings
5th IEEE International Symposium on Measurements and Networking, M and N 2019
ita
2019
Goal 3: Good health and well-being for people
Rovini E.; Esposito D.; Fabbri L.; Pancani S.; Vannetti F.; Cavallo F.
File in questo prodotto:
File Dimensione Formato  
2019 - Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 183.58 kB
Formato Adobe PDF
183.58 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1213615
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 0
social impact