0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
Recovery of Hand Motor Function in Children with Hemiparetic Cerebral Palsy using an Interactive Computer Game Combined with Mechanoreceptor Stimulation: A Pilot Study
Authors :
Mobina Ramezani
1
Shahed Salehzehi
2
Parisa Hosseini
3
Zahra Alizadeh Sarborj
4
Ghazal Mohammadzadeh
5
Hamid Reza Kobravi
6
Narges Hashemi
7
Mehran Beiraghi Toosi
8
Javad Akhondian
9
1- دانشگاه آزاد مشهد
2- دانشگاه آزاد مشهد
3- دانشگاه آزاد مشهد
4- دانشگاه آزاد مشهد
5- دانشگاه آزاد مشهد
6- دانشگاه آزاد مشهد
7- دانشگاه علوم پزشکی مشهد
8- دانشگاه علوم پزشکی مشهد
9- دانشگاه علوم پزشکی مشهد
Keywords :
Cerebral Palsy،Motor recovery،Rehabilitation،Mechanoreceptor،Joint Kinematics،Hemiplegia
Abstract :
Hemiplegic cerebral palsy (HCP) is a common neurophysiological condition in children, primarily causing motor impairments in the upper extremities. This study investigated the effectiveness of a novel multimodal rehabilitation protocol, which combined computer-based games and mechanoreceptor stimulation of the affected forearm, for improving motor function in children with HCP. Four children (ages 7–9) participated in 10 half-hour sessions. Clinical motor function of the upper extremity was measured using the Fugl-Meyer Assessment (FMA-UE) before and after the intervention. Hand joint kinematics, including the angles of the shoulder, arm, and wrist of the affected hand, were also recorded during these rehabilitation tasks. To quantify changes, advanced analytical tools such as Detrended Fluctuation Analysis (DFA) and Power Spectrum Density (PSD) were employed to assess motor stability and inter-joint coordination. The results showed significant clinical improvement in FMA scores which indicates motor enhancement. The kinematic analysis confirmed these clinical findings provided critical new insights into the underlying quality of movement, highlighting the efficacy of this approach in promoting motor recovery. In conclusion, this multimodal protocol is an effective approach to improve motor recovery in children with cerebral palsy. This study also confirms the necessity of advanced analytical tools and a personalized medicine model to optimize patient outcomes.
Papers List
List of archived papers
A Comparative Analysis of CNN Architectures for Histopathology Image Classification: Performance, Efficiency, and Adversarial Robustness
Moein Akbari Shahpar - Mohsen Akbari-Shahpar
تحلیل و بهبود مقاومت به ضربه ترافیکی درب موتور پژو 206 به روش المان محدود هوشمند
محمدعلی سلیمان نژاد - رضا جاهدی
بررسی نقش فناوری هوش مصنوعی در فرآیند ایجاد مدل خدمات دستگاه خودپرداز
سجاد یوسفی - مریم پورنجف - آیدا محمدی - ساحل پرسته
مدلسازی پیشبینی سکته مغزی با الگوریتمهای تقویتی و شبکههای عصبی در دادههای نامتعادل
ملیحه نیک سیرت - سیده فاطمه جوادی
بهبود عملکرد سیستمهای شناسایی بدافزار با تلفیق شبکههای عصبی کانولوشن و الگوریتم جنگل تصادفی
بهزاد شاه پسندی - مجید مزینانی
تاثیر ویژگی های کمیته حسابرسی و حسابرس داخلی بر به موقع بودن گزارشگری مالی
غلامعلی شریفی
Using Advanced Ensemble Machine Learning Models to Predict Traffic in SDN-Based Networks: A Comparative Study of Bagging, Boosting, and Stacking Approaches
Raha Pakzad - Sasan GharaPasha - Nasrin Firouz - Ramin Habibzadehsharif
مروری بر مراحل اصلی توسعه مدلهای زبانی در هوش مصنوعی مولد
زهرا روزبهانی
Assessing the Risk of Musculoskeletal Injuries of Workers at the Warehousing Workstation of Iran Tire Company
Mahshad Nazari Jeirani - Amirhossein Mohammadzadeh - Seyedeh Shokouh Azam Mirdamadi - Mohadeseh Sadat Shahangian - Navid Arjmand
Goniometry and Electromyography Data Analysis for Knee Health Diagnosis using Machine Learning
Mohammad-Reza Sayyed Noorani - Zahra Mahmoudi Anzabi - Sara Sharifi
more
Samin Hamayesh - Version 42.5.2