Background: Recent cases of spinal cord infarction combined with cerebral infarction have demonstrated improved walking ability through pharmacological treatment and rehabilitation. However, studies on the efficacy of multidisciplinary approaches remain limited. Objectives: This study aimed to investigate rehabilitation strategies and establish a foundation for clinical practice, focusing on physical and occupational therapy for patients with spinal cord and cerebral infarctions. Design: A case study. Methods: A 70-year-old woman with combined spinal cord and cerebral infarction underwent 20 weeks of rehabilitation. Functional outcomes were assessed using Grip Strength, Manual Muscle Test (MMT), Trunk Impairment Scale (TIS), Manual Function Test (MFT), Berg Balance Scale (BBS), 10-Meter Walking Test (10MWT), and Korean Modified Barthel Index (K-MBI). Results: Over 20 weeks, Grip Strength improved to 6 kg (left) and 13 kg (right), MMT increased from 97 to 103 points, and TIS improved from 2 to 10 points. MFT scores increased to 18 (left) and 25 (right). BBS improved from 1 to 23 points, and the 10MWT time decreased to 19.84 seconds. K-MBI scores rose from 12 to 39 points. Conclusion: A multidisciplinary approach, including robotic therapy, significantly improved functional recovery, facilitating reintegration into daily life.
Multidisciplinary Design Optimization(MDO) method that considers principles in various fields affecting big scale structure and system design at the same time is used. Because most variables are connected many engineering phenomena under the classic optimized design method(all-in-one design approach), it is hard to judge the meaning of final design solution obtained, and there are cases where all variables converge before reaching the optimal design value in large-scale design problems with many variables. Collaborative Optimization (CO) method, the most advanced MDO approach, is used to efficiently solve these optimum problems, to efficiently analyze design problems involving numerous design variables and constraints and in which various engineering phenomena occur. However, the application of the MDO problem to CO introduces a number of numerical problems by destroying the numerical properties of the original optimal design problem. Therefore, this study researches one solution by listing the problems of CO after organizing various approaches of MDO.