Background: Disorders of gastric function are highly prevalent, but diagnosis often remains symptom-based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non-invasively mapping gastric electrophysiology in high-resolution (HR) at the body surface.
Methods: The system comprises a custom-designed stretchable high-resolution "peel-and-stick" sensor array (8 × 8 pre-gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm ), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real-time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial).
Key Results: Gastric mapping was successfully achieved non-invasively in all cases (16 male; 8 female; aged 20-73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non-invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate).
Conclusions And Inferences: BSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078595 | PMC |
| http://dx.doi.org/10.1111/nmo.14418 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Out of sight, into the spotlight: Beyond the current state of science on per- and poly-fluoroalkyl substances in groundwater.
J Environ Manage
January 2025
Department of Earth and Environmental Studies, Montclair State University, Montclair, NJ, 07043, USA.
Per- and poly-fluoroalkyl substances (PFAS) have emerged as a silent menace, infiltrating groundwater systems worldwide. Many countries, preoccupied with tackling legacy pollutants, have inadvertently neglected the emerging threat of PFAS. This review provides an exhaustive analysis beyond the current state of knowledge and sustainable pathways vis-a-vis addressing PFAS in groundwater systems globally.
View Article and Find Full Text PDFUltra robust negative differential resistance memristor for hardware neuron circuit implementation.
Nat Commun
January 2025
Key Laboratory of Brain like Neuromorphic Devices and Systems of Hebei Province, College of Physics Science and Technology, Hebei University, Baoding, Hebei, China.
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable them to successfully mimic biological neurons with electrical devices. However, the reliability of memristors has always been a major obstacle in neuromorphic computing.
View Article and Find Full Text PDFEfficient Visible-Light-Driven Photocatalytic Degradation of Antibiotics in Water by MXene-Derived TiO-Supported SiO/TiC Composites: Optimisation, Mechanism and Toxicity Evaluation.
Environ Pollut
December 2024
Department of Nano-Chemical Engineering, Faculty of Advanced Technologies, Shiraz University, Shiraz, Iran; Drilling Nanofluid Lab, Shiraz University, Shiraz, Iran; Nanotechnology Research Institute, Shiraz University, Shiraz, Iran. Electronic address:
Photocatalytic technology has emerged as a promising solution to global water contamination, mainly through the effective degradation of persistent pharmaceutical pollutants. However, a few challenges still exist in enhancing degradation efficiency, reducing the toxicity of by-products, and ensuring cost-effective scalability. This study focuses on Tetracycline Hydrochloride (TCH) as an index antibiotic pollutant to evaluate the performance of a novel MXene-derived TiO-supported SiO₂/ TiC composite (SMXT) synthesised using ultrasonic and wet impregnation techniques.
View Article and Find Full Text PDFFeature efficiency in IoMT security: A comprehensive framework for threat detection with DNN and ML.
Comput Biol Med
January 2025
Computer Engineering Department, Technology Faculty, Marmara University, Maltepe, Istanbul, Turkey. Electronic address:
Background: To address critical security challenges in the Internet of Medical Things (IoMT), this study develops a feature selection framework to improve detection accuracy and computational efficiency in IoMT cybersecurity. By optimizing feature selection, the framework aims to enhance the security and operational integrity of real-time healthcare systems.
Method: This study integrates Random Subset Feature Selection (RSFS) with Correlation Feature Selection (CFS) to create a novel feature selection framework tailored to IoMT datasets.
New Human Immunodeficiency Virus (HIV) cases continue to disproportionately burden cisgender Black/African American women in the United States due to a confluence of structural and systemic factors. Pre-exposure prophylaxis (PrEP) is a safe and effective HIV prevention option, yet there is a striking gap between PrEP eligibility and uptake among cisgender Black women. The current study evaluates a novel warm handoff process in a hospital emergency department setting linking eligible women to local PrEP clinics within 72 hours of hospital discharge in a large southwestern metropolitan city.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!