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http://dx.doi.org/10.1007/s10072-023-06820-x | DOI Listing |
Adv Sci (Weinh)
January 2025
Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, 34956, Türkiye.
Skin-like bioelectronics offer a transformative technological frontier, catering to continuous and real-time yet highly imperceptible and socially discreet digital healthcare. The key technological breakthrough enabling these innovations stems from advancements in novel material synthesis, with unparalleled possibilities such as conformability, miniature footprint, and elasticity. However, existing solutions still lack desirable properties like self-adhesivity, breathability, biodegradability, transparency, and fail to offer a streamlined and scalable fabrication process.
View Article and Find Full Text PDFJ ECT
January 2025
From the Department of Psychiatry and Psychology, Center for Behavioral Health, Neurological Institute, Cleveland Clinic, Cleveland, OH.
Electroencephalogram (EEG) monitoring during electroconvulsive therapy (ECT) is commonly done using a 2-channel EEG in order to capture activity from both brain hemispheres, though many institutions may instead opt to utilize a 1-channel EEG, often for reasons of convenience. We present a novel case of asymmetric termination of EEG seizure activity during an acute course of right unilateral ECT, prompting a full neurological workup to investigate potential underlying structural or physiological causative factors. This case assists in informing the necessity of bilateral hemispheric EEG monitoring as well as highlights the importance of searching for undiagnosed or latent neurological dysfunction in certain clinical situations arising during ECT.
View Article and Find Full Text PDFAnesthesiology
January 2025
Department of Anesthesiology, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA.
Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.
Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).
Biomed Eng Lett
January 2025
Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, Republic of Korea.
Unlabelled: This study aims to create a fatigue recognition system that utilizes electroencephalogram (EEG) signals to assess a driver's physiological and mental state, with the goal of minimizing the risk of road accidents by detecting driver fatigue regardless of physical cues or vehicle attributes. A fatigue state recognition system was developed using transfer learning applied to partial ensemble averaged EEG power spectral density (PSD). The study utilized layer-wise relevance propagation (LRP) analysis to identify critical cortical regions and frequency bands for effective fatigue discrimination.
View Article and Find Full Text PDFJ Neurosurg Anesthesiol
January 2025
Stroke Medicine.
Processed electroencephalography (pEEG) is increasingly used to titrate the depth of anesthesia. Whether such intra-procedural pEEG monitoring can offer additional information on cerebral perfusion or acute focal or global cerebral ischemia is unknown. This scoping review aimed to provide a narrative analysis of the current literature reporting the potential role of pEEG in adults with acute cerebral ischemia.
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