TY - GEN
T1 - Monitoring Motor Symptoms in Parkinson’s Disease Under Long Term Acoustic Stimulation
AU - Sigcha, L.
AU - Gonzalez Calleja, David
AU - Pavón, I.
AU - López, J. M.
AU - de Arcas, G.
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Parkinson’s disease (PD) is a progressive neurodegenerative disease that presents motor (tremor, rigidity, bradykinesia, and instability) and non-motor dysfunctions. In this study we present a methodology to monitor the evolution of motor symptoms of Parkinson disease patients remotely, and its application to asses the effects of an experimental therapeutic intervention based on acoustic stimulation in a two months’ study. Monitoring is based on wearing a commercial smartwatch while performing a set of exercises extracted from the Unified Parkinson’s Disease Rating Scale. Three indicators are extracted from the triaxial accelerometer’s signals to monitor tremor and bradykinesia. Results of the evolution of these indicators over a 2 months’ study are shown for two PD patients following a therapeutic intervention based on acoustic stimulation and a healthy control group of similar age and gender. The feasibility of using consumer smartwatches for remote monitoring of motor symptom’s is discussed together with its limitations, specially regarding long-term assessment of acoustic stimulation interventions.
AB - Parkinson’s disease (PD) is a progressive neurodegenerative disease that presents motor (tremor, rigidity, bradykinesia, and instability) and non-motor dysfunctions. In this study we present a methodology to monitor the evolution of motor symptoms of Parkinson disease patients remotely, and its application to asses the effects of an experimental therapeutic intervention based on acoustic stimulation in a two months’ study. Monitoring is based on wearing a commercial smartwatch while performing a set of exercises extracted from the Unified Parkinson’s Disease Rating Scale. Three indicators are extracted from the triaxial accelerometer’s signals to monitor tremor and bradykinesia. Results of the evolution of these indicators over a 2 months’ study are shown for two PD patients following a therapeutic intervention based on acoustic stimulation and a healthy control group of similar age and gender. The feasibility of using consumer smartwatches for remote monitoring of motor symptom’s is discussed together with its limitations, specially regarding long-term assessment of acoustic stimulation interventions.
KW - Acoustic stimulation
KW - Motor symptoms
KW - Parkinson disease
KW - Pervasive technologies
KW - Wearables
UR - http://www.scopus.com/inward/record.url?scp=85132028266&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06242-1_19
DO - 10.1007/978-3-031-06242-1_19
M3 - Conference contribution
AN - SCOPUS:85132028266
SN - 9783031062414
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 189
EP - 198
BT - Artificial Intelligence in Neuroscience
A2 - Ferrández Vicente, José Manuel
A2 - Álvarez-Sánchez, José Ramón
A2 - de la Paz López, Félix
A2 - Adeli, Hojjat
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022
Y2 - 31 May 2022 through 3 June 2022
ER -