Sahbi Boubaker^1,2,*, Salim Hadj Said³, Souad Kamel¹, Habib Dimassi³

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5703-5721, 2025, DOI:10.32604/cmc.2025.069047 - 23 October 2025

Abstract Accurate trajectory tracking in lower-limb exoskeletons is challenged by the nonlinear, time-varying dynamics of human-robot interaction, limited sensor availability, and unknown external disturbances. This study proposes a novel control strategy that combines flatness-based control with two cascaded observers: a high-gain observer to estimate unmeasured joint velocities, and a nonlinear disturbance observer to reconstruct external torque disturbances in real time. These estimates are integrated into the control law to enable robust, state-feedback-based trajectory tracking. The approach is validated through simulation scenarios involving partial state measurements and abrupt external torque perturbations, reflecting realistic rehabilitation conditions. Results confirm More >

Mohammad Soleimani Amiri¹, Sahbi Boubaker^2,3,*, Rizauddin Ramli^4,*, Souad Kamel²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3113-3133, 2025, DOI:10.32604/cmes.2025.069167 - 30 September 2025

Abstract Disability is defined as a condition that makes it difficult for a person to perform certain vital activities. In recent years, the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent. However, controlling an exoskeleton for rehabilitation presents challenges due to their non-linear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton. To remedy these problems, this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons, addressing the challenges of nonlinear dynamics and external disturbances. The proposed controller integrated… More >

Chiara Innocente^1,*, Matteo Boemio², Gianmarco Lorenzetti², Ilaria Pulito², Diego Romagnoli², Valeria Saponaro², Giorgia Marullo¹, Luca Ulrich¹, Enrico Vezzetti¹

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1355-1379, 2025, DOI:10.32604/cmes.2025.063186 - 30 May 2025

Abstract Lip-reading technology, based on visual speech decoding and automatic speech recognition, offers a promising solution to overcoming communication barriers, particularly for individuals with temporary or permanent speech impairments. However, most Visual Speech Recognition (VSR) research has primarily focused on the English language and general-purpose applications, limiting its practical applicability in medical and rehabilitative settings. This study introduces the first Deep Learning (DL) based lip-reading system for the Italian language designed to assist individuals with vocal cord pathologies in daily interactions, facilitating communication for patients recovering from vocal cord surgeries, whether temporarily or permanently impaired. To… More >

CHUCHU ZHANG^1,#, YING LIU^2,#, ZEHUI CHEN¹, YI LIU³, QIYUAN MAO⁴, GE ZHANG⁵, HONGSHENG LIN⁴, JIABIN ZHENG^6,*, HAIYAN LI^1,*

Oncology Research, Vol.33, No.6, pp. 1437-1458, 2025, DOI:10.32604/or.2025.059290 - 29 May 2025

Abstract Objectives: Decades of clinical and fundamental research advancements in oncology have led to significant breakthroughs such as early screening, targeted therapies, and immunotherapy, contributing to reduced mortality rates in cancer patients. Despite these achievements, cancer continues to be a major public health challenge. This study employs bibliometric techniques to visually analyze the English literature on cancer prevention, screening, diagnosis, treatment, and rehabilitation. Methods: We systematically reviewed publications from 01 March 2014, to 01 March 2024, indexed in the Web of Science core collection. Tools such as VOSviewer Version 1.6.20 is characterized by its core idea… More > Graphic Abstract

Chayut Bunterngchit¹, Laith H. Baniata², Mohammad H. Baniata³, Ashraf ALDabbas⁴, Mohannad A. Khair⁵, Thanaphon Chearanai⁶, Sangwoo Kang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 517-536, 2025, DOI:10.32604/cmc.2025.060368 - 26 March 2025

Abstract Stroke is a leading cause of death and disability worldwide, significantly impairing motor and cognitive functions. Effective rehabilitation is often hindered by the heterogeneity of stroke lesions, variability in recovery patterns, and the complexity of electroencephalography (EEG) signals, which are often contaminated by artifacts. Accurate classification of motor imagery (MI) tasks, involving the mental simulation of movements, is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability. To address these challenges, this study introduces a graph-attentive convolutional long short-term memory (LSTM) network (GACL-Net), a novel hybrid deep learning model… More >

Daniel Steffens^1,2,3, Cherry Koh^1,2,3,4, Nicholas Hirst^1,2, Ruby Cole^1,2, Michael J. Solomon^1,2,3,4, Lisa Nguyen-Lal⁵

Canadian Journal of Urology, Vol.31, No.5, pp. 12004-12012, 2024

Abstract Introduction: The evidence on the effectiveness of prehabilitation in patients undergoing bladder cancer surgery remains lacking. Thus, the aim of this study is to determine the effectiveness of prehabilitation on reducing postoperative morbidity and length of hospital stay in patients undergoing bladder cancer surgery.
Materials and methods: This systematic review included randomized controlled trials investigating the effect of prehabilitation on postoperative outcomes in patients undergoing bladder cancer surgery. A comprehensive search was conducted, with two reviewers independently screening articles and extracting data. The Cochrane Collaboration’s tool was used to assess risk of bias, and GRADE to rate… More >

Domenico Crea¹, Arben Dedja¹, Matteo Ponzoni^1,2, Stefania Rizzo³, Alberto Cipriani⁴, Riccardo Bariani⁴, Kalliopi Pilichou³, Maria Bueno Marinas³, Danila Azzolina⁵, Massimo A. Padalino^1,6,*

Congenital Heart Disease, Vol.19, No.5, pp. 473-487, 2024, DOI:10.32604/chd.2025.057014 - 31 December 2024

Abstract Background: Since 2015, the pulmonary artery banding (PAB), following the Giessen protocol, has treated end-stage heart failure in selected infants with preserved right ventricular function, acting as a bridge to transplant or recovery, as a result of ventricular-ventricular interaction. Objectives: To elucidate whether PAB is a feasible and reproducible procedure in a rodent model of pharmacologically induced dilated cardiomyopathy (DCM) and to evaluate PAB-induced ventricular rehabilitation. Methods: We used 49 Sprague-Dawley rats divided into four groups: a sham surgery control group, a healthy animal group undergoing PAB, a doxorubicin (DOX)- treated control group, and a DOX… More >

Delfina Arancio Sidoti^1,2, Juan Manuel Zeberio^1,3,*, Guadalupe Peter^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 2115-2125, 2024, DOI:10.32604/phyton.2024.053483 - 30 August 2024

Abstract Argentina is the country with the highest proportion of arid and semi-arid ecosystems in Latin America. In the rangelands of Southwestern Buenos Aires (Patagones Department), there is a clear advancement of the agricultural frontier to the detriment of the native forest in this region. Due to rainfall variation and seed acquisition, Thinopyrum ponticum is cultivated as a forage perennial crop in this region. Our objective was to evaluate the performance of T. ponticum as a facilitating crop for the medium-term rehabilitation of natural grasslands in semi-arid areas. The working hypotheses were that: 1) native perennial grass cover… More >

Xilong Zheng^*, Qiong Wang, Di Guan

Structural Durability & Health Monitoring, Vol.18, No.3, pp. 361-376, 2024, DOI:10.32604/sdhm.2024.048473 - 15 May 2024

Abstract The deteriorated continuous rigid frame bridge is strengthened by external prestressing. Static loading tests were conducted before and after the bridge rehabilitation to verify the effectiveness of the rehabilitation process. The stiffness of the repaired bridge is improved, and the maximum deflection of the load test is reduced from 37.9 to 27.6 mm. A bridge health monitoring system is installed after the bridge is reinforced. To achieve an easy assessment of the bridge’s safety status by directly using transferred data, a real-time safety warning system is created based on a five-level safety standard. The threshold More >

Yaojin Sun¹, Nan Jiang^1,*, Min Zhu¹, Hao Hua²

Intelligent Automation & Soft Computing, Vol.38, No.1, pp. 105-105, 2023, DOI:10.32604/iasc.2023.047522 - 26 January 2024

Abstract This article has no abstract. More >