Results 271 to 280 of about 9,306,982 (363)

Contralateral spread of unilateral tremor in Parkinson’s Disease

Pasquini J, Pavese N, Ceravolo R, Helmich RC, Deuschl G.   +4 more
europepmc   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

Advanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang, Hongyu Zhang, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Arul Lenus Roy Vellaisamy, Cindy Lo Kuen Lam, Ning Xi, Vivian Weiqun Lou, Wen Jung Li   +11 more
wiley   +1 more source

Functional and Structural Characterization of LRRK2 p.V1447L in Parkinson’s Disease

Pratuseviciute N, Lis P, Weber S, Gruchy N, Arnaud L, Alessi DR, Sammler E.   +6 more
europepmc   +1 more source

Corrigendum to “Facial expression recognition in people with medicated and unmedicated Parkinson’s disease” [Neuropsychologia 41 (2003) 1047–1057]

, 2003
Reiner Sprengelmeyer, Andrew W. Young, K. Mahn, Ulrike Schröeder, Dirk Woitalla, Th. Büttner, W. Kuhn, H. Przuntek   +7 more
openalex   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

A Soft Pneumatic Exosuit to Assist Pronosupination in Individuals with Spinal Cord Injury

Advanced Intelligent Systems, EarlyView.
A lightweight (30 g) textile‐based pneumatic exosuit assists forearm pronosupination in individuals with cervical spinal cord injury. The soft robot enhances forearm range of motion and reduces muscle effort without hindering hand function. Tested in 10 patients during an interactive exergame, it improves motor performance and demonstrates promise for ...
Roberto Ferroni, Gaetano D’Avola, Daniele Filippo Mauceri, Chiara Pau, Giorgia Sciarrone, Gabriele Righi, Jacopo Carpaneto, Marta Gandolla, Giulio Del Popolo, Silvestro Micera, Tommaso Proietti   +10 more
wiley   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

Dynamics of cortico-subthalamic neuronal patterns during dyskinesia in Parkinson’s disease

Habets J, Merk T, Mathiopoulou V, Lofredi R, Binns T, Busch JL, Köhler R, Memarpouri A, Faust K, Krause P, Schneider G, Neumann W, Tovote P, Kühn A.   +13 more
europepmc   +1 more source