Results 181 to 190 of about 10,730,025 (313)

Automated Classification of Neuromuscular Diseases Using Thigh Muscle MRI With Model Interpretations. [PDF]

J Cachexia Sarcopenia Muscle
Huysmans L, Iterbeke L, De Wel B, Opsomer M, Claeys KG, Maes F.   +5 more
europepmc   +1 more source

Effects of flow‐controlled expiration on oxygenation and early recovery in horses undergoing general anaesthesia

Equine Veterinary Journal, EarlyView.
Abstract Background FLow‐controlled EXpiration (FLEX) has been shown to significantly enhance oxygenation in horses under clinical and experimental conditions. Objectives To compare pulmonary gas exchange during early recovery following general anaesthesia in horses ventilated with FLEX compared with conventional intermittent positive pressure ...
Allison Mika, Jerrianne Brandly, Alycia Frampton, Hope Douglas, Miranda Starr, Henry Benchimol, Klaus Hopster   +6 more
wiley   +1 more source

Diagnostic Impasse and Wandering in Patients With Rare Neuromuscular Diseases: Insights Into Patient Characteristics From the French National Network for Rare Neuromuscular Diseases (FILNEMUS) and the French National Rare Disease Database (BNDMR). [PDF]

Eur J Neurol
Dumas R, Jannot AS, Elarouci N, Salort-Campana E, Pisella L, Tard C, Sacconi S, Bouhour F, Sarrazin E, Spinazzi M, Laforet P, Pereon Y, Nadaj-Pakleza A, Echaniz-Laguna A, Choumert A, Magy L, Feasson L, Esselin F, Cances C, Espile C, Desguerre I, Rouzier C, Cintas P, Stojkovic T, Solé G, Attarian S, FILNEMUS Study Group.   +26 more
europepmc   +1 more source

Highly conductive and robust epidermal dry electrode for long‐term interval biopotential monitoring

FlexMat, EarlyView.
A freestanding PVA‐PBFDO conductive dry electrode combines high conductivity, flexibility, and environmental stability to enable long‐term, high‐fidelity electrophysiological (EP) signal monitoring. Its patterning capability further facilitates the fabrication of wearable and multi‐channel bioelectronic devices.
Anni Sun, Tenglong Luo, Huanxin Su, Zhengyan He, Fuchun Nan, Shuo Wang, Yu Wang, Yuanhao Wu, Lingyun Wang, Jie Zhang, William W. Yu   +10 more
wiley   +1 more source

Dynamic MR of Muscle Contraction During Electrical Muscle Stimulation: Potential Application to the Evaluation of Neuromuscular Diseases. [PDF]

NMR Biomed
Santini F, Croce MG, Deligianni X, Maggioni MB, Paoletti M, Barzaghi L, Bergsland N, Faggioli A, Manco G, Bonizzoni C, Jin N, Ravaglia S, Pichiecchio A.   +12 more
europepmc   +1 more source

A Prediction Model for One‐Year Disability Risk Among Community‐Dwelling Older Adults in China: Integrating Physical, Metabolic, and Psychosocial Factors

Health Care Science, EarlyView.
Based on a prospective cohort of 1003 older adults, we developed and validated a practical disability prediction model integrating physical, metabolic, and psychosocial factors (AUC = 0.716), presented via a user‐friendly nomogram for community use. ABSTRACT Background Disability in older adults, characterized by progressive limitations in performing ...
Yanjun Ma, Chaofan Geng, Zhibin Wang, Yiwei Zhao, Lixin Ma, Pengpeng Ye, Leilei Duan, Guoping Peng, Yi Tang   +8 more
wiley   +1 more source

Effectiveness of the capability approach in rehabilitation for persons with neuromuscular diseases: A controlled before-after study. [PDF]

PLoS One
Pijpers EJ, Bloemen B, Oortwijn WJ, van Engelen BGM, van der Wilt GJ, Groothuis JT, Cup EHC.   +6 more
europepmc   +1 more source

Treatment With the Shaker Head‐Lift Exercise in Head and Neck Cancer Patients With Radiation‐Induced Dysphagia: 12‐Month Results on Swallowing Function From a Randomized, Controlled Trial

Head &Neck, EarlyView.
ABSTRACT Background Dysphagia is a common side‐effect after radiotherapy in head and neck cancer patients. This randomized study aimed to evaluate the effect of the shaker head‐lift exercise (HLE) after 12 months with flexible endoscopic evaluation of swallowing (FEES). Methods Patients were randomly assigned to the intervention (n = 30) or the control
Signe Rödseth Smith, Caterina Finizia, Kerstin Petersson, Lisa Tuomi   +3 more
wiley   +1 more source

Development of a deep learning model for automated diagnosis of neuromuscular diseases using ultrasound imaging. [PDF]

Front Neurol
Xie J, Zhang Z.
europepmc   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source