نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی پزشکی، دانشکده مهندسی پزشکی، دانشگاه آزاد اسلامی واحد تهران مرکز، تهران، ایران
2 گروه مهندسی پزشکی، دانشکده مهندسی پزشکی، دانشگاه آزاد اسلامی واحد اسلامشهر، تهران، ایران.
3 مرکز تحقیقات توانبخشی اعصاب اطفال، گروه ارگونومی، دانشکده علوم توانبخشی و سلامت اجتماعی، تهران، ایران.
4 گروه مهندسی پزشکی، دانشکده مهندسی پزشکی، دانشگاه آزاد اسلامی واحد تهران مرکز، تهران، ایران.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Background and Aims Chronic Heart Failure(CHF)is associated with reduced cardiac output, diminished muscle strength, and impaired balance. Conventional biomechanical studies often overlook a significant portion of continuous, time-dependent gait cycle data by focusing solely on discrete variables.This study aims to provide a more precise biomechanical assessment by employing Statistical Parametric Mapping(SPM)to analyze kinetic and kinematic data during the stance phase of gait in CHF patients compared to healthy individuals.
Methods In this case-control study, 20 patients with CHF were compared with 20 age-, weight- and BMI-matched healthy controls. Three-dimensional kinematic and kinetic gait data were collected, and SPM-based t-tests and analysis of covariance (ANCOVA) were utilized to compare time-series curves while controlling for gait speed. Findings revealed that CHF patients exhibited significant alterations throughout substantial portions of the stance phase, including decreasehip ground reaction force(18%-89% of the phase),increased adduction (1%-100% of the phase), and decreased internal rotation torque at the hip and knee during late stance. Similar alterations were observed in ankle eversion and internal rotation torques. Notably, these kinetic changes remained significant even after controlling for gait speed.
Conclusion In conclusion, patients with heart failure demonstrate significant impairments in joint control, particularly in the frontal and transverse planes,which are often undetectable using discrete analysis methods.SPM proves to be an effective tool for revealing these continuous gait alterations.Furthermore, controlling for gait speed is essential in the biomechanical analysis of this population.These findings may contribute significantly to the design of more precise rehabilitation interventions and the improvement of clinical assessment protocols.
کلیدواژهها [English]
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