TY - GEN
T1 - Shape tracing app for movement disorder detection
AU - Aharonson, Vered
AU - Ward, Sarah
AU - Anderson, David
AU - Rubin, David M.
AU - Postema, Michiel
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Shape tracing tests for the detection and assessment of hand movement disorders are predominantly performed manually in the presence of a clinician. These procedures are therefore labour intensive, expensive, and subjective. Digital tests have been proposed to automate this assessment process, to answer the need of affordable healthcare for all. A straightforward automation solution is a conversion of the shape tracing tests from pen and paper to a mobile device. This study implemements realtime dynamic touch detection on a mid-range tablet for shape tracing. The tracing app developed was tested on 20 movement disorder patients and 10 control subjects. The results convey that the interface allows for successful self-administration of the tests. For all subjects, the accuracy was successfully preserved in the real-time dynamic acquisition of the tracing process.
AB - Shape tracing tests for the detection and assessment of hand movement disorders are predominantly performed manually in the presence of a clinician. These procedures are therefore labour intensive, expensive, and subjective. Digital tests have been proposed to automate this assessment process, to answer the need of affordable healthcare for all. A straightforward automation solution is a conversion of the shape tracing tests from pen and paper to a mobile device. This study implemements realtime dynamic touch detection on a mid-range tablet for shape tracing. The tracing app developed was tested on 20 movement disorder patients and 10 control subjects. The results convey that the interface allows for successful self-administration of the tests. For all subjects, the accuracy was successfully preserved in the real-time dynamic acquisition of the tracing process.
KW - Realtime dynamic trace acquisition
KW - Shape tracing interface
KW - Tremor detection
UR - https://www.scopus.com/pages/publications/85082990103
U2 - 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041051
DO - 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041051
M3 - Conference contribution
AN - SCOPUS:85082990103
T3 - 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
BT - 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020
Y2 - 29 January 2020 through 31 January 2020
ER -