Results 171 to 180 of about 29,573 (272)

The Effect of Closed‐Loop Auditory Stimulation on Memory Consolidation and Sleep Physiology in an Ecological Setting

Journal of Sleep Research, EarlyView.
ABSTRACT Slow wave sleep plays a crucial role in overnight memory consolidation, with slow oscillations serving as a critical mechanism. Recent studies have identified closed‐loop auditory stimulation as an effective method to enhance slow oscillatory activity during slow wave sleep, thereby facilitating memory consolidation.
Angie Baldassarri, Damiana Bergamo, Federico Salfi, Domenico Corigliano, Michele Ferrara, Aurora D'Atri, Nicola Cellini   +6 more
wiley   +1 more source

Electrode-Free ECG Monitoring with Multimodal Wireless Mechano-Acoustic Sensors. [PDF]

Biosensors (Basel)
Li Z, Fei F, Zhang G.
europepmc   +1 more source

Effects of the angle of head‐down tilt on dynamic cerebral autoregulation during combined exposure to cephalad fluid shift and mild hypercapnia

Experimental Physiology, EarlyView.
Abstract Astronauts experience combined exposure to a cephalad fluid shift and mild hypercapnia during space missions, potentially contributing to health problems. Such combined exposure may weaken dynamic cerebral autoregulation. The magnitude of cephalad fluid shift varies between individuals, and dynamic cerebral autoregulation may be affected more ...
Tomokazu Kato, Yojiro Ogawa, Ken‐ichi Iwasaki   +2 more
wiley   +1 more source

Acoustic Source Localization Based on the Two-Level Data Aggregation Technology in a Wireless Sensor Network. [PDF]

Sensors (Basel)
Feng Y, Hu G, Hong L.
europepmc   +1 more source

Advances in cardiac devices and bioelectronics augmented with artificial intelligence

The Journal of Physiology, EarlyView.
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark, Eric Rytkin, Andrei Alexandru Mircea, Igor R. Efimov   +3 more
wiley   +1 more source

A Wireless, Battery-Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition. [PDF]

Adv Sci (Weinh)
Xu B, Lin G, Hong X, Liu C, Qu X, Jiao K, Zhang L, Xu B, Yan J, Qiao Y, Lin X.   +10 more
europepmc   +1 more source

Sex‐specific differences in mortality and neurocardiac interactions in the Kv1.1 knockout mouse model of sudden unexpected death in epilepsy (SUDEP)

The Journal of Physiology, EarlyView.
Abstract figure legend The Kcna1 knockout mouse model of sudden unexpected death in epilepsy (SUDEP) exhibits sex‐specific differences in SUDEP risk. Female mice exhibit a lower SUDEP risk than males, despite similar seizure characteristics and interictal cardiac function across sexes.
Kelsey Paulhus, Praveen Kumar, Kelly Kneale, T. Noah Hutson, Nicole M. Gautier‐Hall, Deng‐Shan Shiau, Megan Watts, Krystle Trosclair, Hemangini A. Dhaibar, Paari Dominic, Leonidas Iasemidis, Edward Glasscock   +11 more
wiley   +1 more source

Killer Whales in the Central Tropical Pacific: Occurrence, Resightings, Morphology, and Acoustics

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Compared to their well‐studied coastal temperate counterparts, killer whales (Orcinus orca) in tropical‐subtropical and oceanic areas are under‐documented. We used sighting, photo‐identification, and acoustic data of killer whales in the central tropical Pacific (CTP), collected from multiple platforms between 2002 and 2023, to assess their ...
Marie C. Hill, Sabre D. Mahaffy, Jennifer L. K. McCullough, Alaina Harmon, Robin W. Baird   +4 more
wiley   +1 more source

A Two-Dimensional (2-D) Sensor Network Architecture with Artificial Intelligence Models for the Detection of Magnetic Anomalies. [PDF]

Sensors (Basel)
Gastaldo P, Zunino R, Bellesi A, Carbone A, Gemma M, Ragusa E.   +5 more
europepmc   +1 more source

Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

Applied AI Letters, Volume 7, Issue 2, June 2026.
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka, Ciira wa Maina, Osman Büyük   +2 more
wiley   +1 more source