TY - GEN
T1 - The design and evaluation of a wearable-based system for targeted tremor assessment in Parkinson's disease
AU - O'Sullivan, Samantha
AU - Murray, Niall
AU - Rodrigues, Thiago Braga
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/6/14
Y1 - 2022/6/14
N2 - Wearable sensors are worn by subjects to allow for continuous physiological monitoring. The use of wearable sensors for the quantification of movement within research communities has increased in recent years, with the purpose of objectively assessing and diagnosing the progression of Parkinson's Disease (PD). Most studies taking this approach for PD have stated that there is a need for a long-term solution, due to individuals having varying symptoms at different stages of the disease. Furthermore, a preference for home-based care has increased in recent times due to COVID-19, with clinical care being highly effected due to cancellations, delayed appointments, or a reduction of time spent with patients. The necessity for a system for patients with Parkinson's is extremely significant. There is no clinically available long-term assessment for tremors, and how these systems can be used to assess and aid in a clinical environment is still underdeveloped. The proposed system which includes wireless sensors, and results based off the clinical scale used currently for tremor assessment, may allow for constant, real-time, and accurate monitoring of a subject with tremors. This will provide more detailed medical data to enable long-term assessment, diagnosis, as well as person-centered physical therapy.
AB - Wearable sensors are worn by subjects to allow for continuous physiological monitoring. The use of wearable sensors for the quantification of movement within research communities has increased in recent years, with the purpose of objectively assessing and diagnosing the progression of Parkinson's Disease (PD). Most studies taking this approach for PD have stated that there is a need for a long-term solution, due to individuals having varying symptoms at different stages of the disease. Furthermore, a preference for home-based care has increased in recent times due to COVID-19, with clinical care being highly effected due to cancellations, delayed appointments, or a reduction of time spent with patients. The necessity for a system for patients with Parkinson's is extremely significant. There is no clinically available long-term assessment for tremors, and how these systems can be used to assess and aid in a clinical environment is still underdeveloped. The proposed system which includes wireless sensors, and results based off the clinical scale used currently for tremor assessment, may allow for constant, real-time, and accurate monitoring of a subject with tremors. This will provide more detailed medical data to enable long-term assessment, diagnosis, as well as person-centered physical therapy.
KW - MDS-UPDRS
KW - Parkinson's Disease
KW - Quantitative motor assessment
KW - Rehabilitation
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=85137144392&partnerID=8YFLogxK
U2 - 10.1145/3524273.3532902
DO - 10.1145/3524273.3532902
M3 - Conference contribution
AN - SCOPUS:85137144392
T3 - MMSys 2022 - Proceedings of the 13th ACM Multimedia Systems Conference
SP - 304
EP - 309
BT - MMSys 2022 - Proceedings of the 13th ACM Multimedia Systems Conference
PB - Association for Computing Machinery, Inc
T2 - 13th ACM Multimedia Systems Conference, MMSys 2022
Y2 - 14 June 2022 through 17 June 2022
ER -