The Effect of Computerized Cognitive Training on Body Function and Activity Participation of Patient with Schizophrenia

En Yun Kuo, Jen Suh Chern*, Chien Chuan Chu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Schizophrenia spectrum disorder (SSD) is a neurobiological illness that causes considerable deficits in body functions and activity participation. This study examined the effects of a computerized cognitive training (CCT) on cognition, motor functions and activity participation with a quasi-experimental, pretest-posttest design. A total of 14 patients participated. All participants underwent two stages of CCT but one did not complete the posttest. The training was 3 times a week, 40 minutes each time and lasted for 12 weeks. Cognition, upper extremity motor, postural control performance, and activity participation (work behavior) were measured at three times: before and after 6 and 12 weeks of training. CCT improved participant's cognition and work behavior significantly and have the tendency to improve motor function. The training dosage might be insufficient for motor function improvement.Clinical

Original languageEnglish
Title of host publication2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350324471
DOIs
Publication statusPublished - 2023
Event45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Sydney, Australia
Duration: 2023 Jul 242023 Jul 27

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023
Country/TerritoryAustralia
CitySydney
Period2023/07/242023/07/27

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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