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 language | English |
|---|---|
| Title of host publication | 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728112732 |
| DOIs | |
| Publication status | Published - Jul 1 2019 |
| Event | 5th IEEE International Symposium on Measurements and Networking, M and N 2019 - Catania, Italy Duration: Jul 8 2019 → Jul 10 2019 |
Publication series
| Name | 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings |
|---|
Conference
| Conference | 5th IEEE International Symposium on Measurements and Networking, M and N 2019 |
|---|---|
| Country | Italy |
| City | Catania |
| Period | 7/8/19 → 7/10/19 |
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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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson's Disease Motor Assessment
AU - Rovini, Erika
AU - Esposito, Dario
AU - Fabbri, Laura
AU - Pancani, Silvia
AU - Vannetti, Federica
AU - Cavallo, Filippo
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
KW - accuracy
KW - inertial measurement units
KW - kinematic analysis
KW - optoelectronic system
KW - system validation
KW - upper limb motor assessment
KW - wearable inertial sensors
UR - http://www.scopus.com/inward/record.url?scp=85072119015&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072119015&partnerID=8YFLogxK
U2 - 10.1109/IWMN.2019.8804990
DO - 10.1109/IWMN.2019.8804990
M3 - Conference contribution
AN - SCOPUS:85072119015
T3 - 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings
BT - 2019 IEEE International Symposium on Measurements and Networking, M and N 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -