Results 231 to 240 of about 71,860 (346)

Effectiveness of an intelligent weight-bearing rehabilitation robot in enhancing recovery following anterior cruciate ligament reconstruction. [PDF]

Front Public Health
Wen Y, Wang X, Mao Y, Sun X, Xu N, Han X.   +5 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Effects of Gait Rehabilitation Robot Combined with Electrical Stimulation on Spinal Cord Injury Patients' Blood Pressure. [PDF]

Sensors (Basel)
Sato T, Kimura R, Kasukawa Y, Kudo D, Hatakeyama K, Watanabe M, Takahashi Y, Okura K, Suda T, Miyamoto D, Iwami T, Miyakoshi N.   +11 more
europepmc   +1 more source

A new quantitative performance parameter for monitoring robotics rehabilitation treatment [PDF]

, 2014
Elisabetta Peri, Emilia Biffi, Cristina Maghini, Fernanda Servodio Iammarrone, Chiara Gagliardi, Chiara Germiniasi, Alessandra Pedrocchi, Anna Carla Turconi, Gianluigi Reni   +8 more
openalex   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG. [PDF]

Sensors (Basel)
Song T, Zhang K, Yan Z, Li Y, Guo S, Li X.   +5 more
europepmc   +1 more source

Designing rehabilitation robots for the brain injured [PDF]

, 2010
George, J., Gnanayutham, Paul
core  

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

An Active Control Method for a Lower Limb Rehabilitation Robot with Human Motion Intention Recognition. [PDF]

Sensors (Basel)
Song Z, Zhao P, Wu X, Yang R, Gao X.
europepmc   +1 more source

Robotics in Upper Limb Rehabilitation Nursing : A Literature Review

, 2016
Milena Leino
openalex   +1 more source