TY - GEN
T1 - A System for Interactive and Intelligent AD Auxiliary Screening
AU - Yang, Sen
AU - Zhao, Qike
AU - Miao, Lanxin
AU - Chen, Min
AU - Gao, Lianli
AU - Song, Jingkuan
AU - Le, Weidong
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/10/17
Y1 - 2021/10/17
N2 - Montreal Cognitive Assessment (MoCA) test is an auxiliary medical screening method for Alzheimer's disease (AD). During the traditional process, a testee is required to conduct several test items on the paper questionnaire following the guidance of a medical staff. It is inefficient and dependents largely on the doctor's subjective judgment and experience level. Therefore, we propose an Interactive and Intelligent AD Auxiliary Screening (IAS) system consisting of speech-based Interactive Unit Testing Module (IUTM) and truth-based Intelligent Analysis Module (IAM), both of which are developed by deep learning techniques. Following the guidance of voice commands, the testee could achieve the MoCA test independently in IUTM just by a mobile device, and then the testing data is analyzed accurately and objectively by IAM. Moreover, the electronic system is beneficial to collect and analyze clinical data for further research compared to the traditional method. And the system is deployed in the Department of Neurology, Sichuan Provincial People's Hospital in June 2021 and has been used in the clinical screening of Alzheimer's disease.
AB - Montreal Cognitive Assessment (MoCA) test is an auxiliary medical screening method for Alzheimer's disease (AD). During the traditional process, a testee is required to conduct several test items on the paper questionnaire following the guidance of a medical staff. It is inefficient and dependents largely on the doctor's subjective judgment and experience level. Therefore, we propose an Interactive and Intelligent AD Auxiliary Screening (IAS) system consisting of speech-based Interactive Unit Testing Module (IUTM) and truth-based Intelligent Analysis Module (IAM), both of which are developed by deep learning techniques. Following the guidance of voice commands, the testee could achieve the MoCA test independently in IUTM just by a mobile device, and then the testing data is analyzed accurately and objectively by IAM. Moreover, the electronic system is beneficial to collect and analyze clinical data for further research compared to the traditional method. And the system is deployed in the Department of Neurology, Sichuan Provincial People's Hospital in June 2021 and has been used in the clinical screening of Alzheimer's disease.
UR - http://www.scopus.com/inward/record.url?scp=85119373412&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119373412&partnerID=8YFLogxK
U2 - 10.1145/3474085.3478549
DO - 10.1145/3474085.3478549
M3 - Conference contribution
AN - SCOPUS:85119373412
T3 - MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
SP - 2756
EP - 2758
BT - MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
T2 - 29th ACM International Conference on Multimedia, MM 2021
Y2 - 20 October 2021 through 24 October 2021
ER -