Results 171 to 180 of about 4,207,627 (244)

The Effects of Inspiratory Muscle Training on Diaphragm Thickness, Respiratory Muscle Strength, Balance, and Core Stability in Professional Dancers: A Randomized Controlled Trial. [PDF]

Eur J Sport Sci
Aksu H, Devran S, Morkuzu S, Bayraktar B.   +3 more
europepmc   +1 more source

Effect of exercise‐related nasopharyngeal disorders on upper airway function in racehorses

Equine Veterinary Journal, EarlyView.
Abstract Background Exercise‐related upper respiratory tract (URT) disorders are frequently diagnosed in racehorses. Treatment recommendations are routinely based on subjective assessment of clinical evaluation and exercising endoscopy findings. Objectives To objectively investigate how palatal instability (PI), intermittent dorsal displacement of the ...
Hanna Vermedal, Ingunn Risnes Hellings, Zoe L. Fretheim‐Kelly, Constanze Fintl, Eric Strand   +4 more
wiley   +1 more source

Short-Term Inspiratory Muscle Training Enhances Functional and Metabolic Health in Older Adults. [PDF]

Healthcare (Basel)
Konca E, Yılmaz C, Bayrakdaroğlu S, Ceylan Hİ, Arslan A, Ocak H, Karakulak İ, Sarı R, Uzun RN, Soylu HH, Ceylan L, Muntean RI.   +11 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

Inspiratory Muscle Training in Older Patients With Acute Heart Failure: Design and Rationale of a Multi-Arm Parallel-Group Randomized Controlled Trial. [PDF]

Circ Rep
Takahashi R, Yokota J, Tsushima E.
europepmc   +1 more source

Artificial structures for human‐machine interfaces with closed‐loop interaction

FlexMat, EarlyView.
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu, Taisong Pan, Siqi Chen, Yiting Zhang, Yuan Lin   +4 more
wiley   +1 more source

Acute Effect of Inspiratory Muscle Training on Peripheral Tissue Oxygenation Behavior in Individuals With COPD: A Randomized Crossover Study. [PDF]

Physiother Res Int
Borges NMDS, Lima DT, Morais ABA, Tenório LNFC, Vieira ST, Carneiro HMLO, Freitas AL, Silva DFS, Silva ED, Paiva MAOS, Silva JVBD, Guedes KP, Gama TO, Fernandes ATDNSF, Azevedo IG, Morais PSA, Pereira DAG, Pedrosa R, Lima JHM, França EET.   +19 more
europepmc   +1 more source

Illuminating point‐of‐care diagnostics with aggregation‐induced emission biosensors

FlexMat, EarlyView.
This review highlights the application of aggregation‐induced emission luminogens (AIEgens) in point‐of‐care (POC) diagnostics for disease biomarker detection. It systematically examines a range of biosensing platforms, including lateral flow immunoassays, microfluidic chips, and electrochemiluminescence sensors, alongside their utility in detecting ...
Danni Hu, Yubing Hu, Dong Wang, Ben Zhong Tang   +3 more
wiley   +1 more source

Inspiratory Muscle Training in Children With Cerebral Palsy: Effects on Respiratory and Motor Functions. [PDF]

Pediatr Int
Çelebi SE, Aydın G, Tunç H, Ersöz M.
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