Developing an Accumulative Assessment System of Upper Extremity Motor Function in Patients With Stroke Using Deep Learning.

Journal: Physical therapy
PMID: 38531775

Abstract

OBJECTIVE: The Fugl-Meyer assessment for upper extremity (FMA-UE) is a measure for assessing upper extremity motor function in patients with stroke. However, the considerable administration time of the assessment decreases its feasibility. This study aimed to develop an accumulative assessment system of upper extremity motor function (AAS-UE) based on the FMA-UE to improve administrative efficiency while retaining sufficient psychometric properties.

Authors

  • Gong-Hong Lin
    Master Program in Long-term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
  • Shih-Chieh Lee
    Department of BioIndustry Technology, Da-Yeh University, No. 168, University Rd., Dacun, Changhua, Taiwan, Republic of China.
  • Chien-Yu Huang
    Department of Occupational Therapy, I-Shou University, Kaohsiung, Taiwan.
  • Inga Wang
    Department of Rehabilitation Sciences and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA.
  • Ya-Chen Lee
    Department of Occupational Therapy, College of Medical and Health Sciences, Asia University, Taichung, Taiwan.
  • I-Ping Hsueh
    School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Ching-Lin Hsieh
    School of Occupational Therapy, College of Medicine, National Taiwan University, School of Occupational Therapy, Taipei, Taiwan.

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