AIMC Topic: Electrodes

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Low-complexity fetal heart rate monitoring from carbon-based single-channel dry electrodes maternal electrocardiogram.

Physiological measurement
. Fetal and maternal health during pregnancy can be monitored with sensors such as Doppler or scalp fetal ECG. This study focuses on single-channel dry electrode maternal abdominal ECG () to extract fetal heart rate () using a low-complexity algorith...

Research on missing value prediction of measured ERT data for coal mine based on a GRNN algorithm.

PloS one
In the process of long-term monitoring of the coal seam floor of a coal mining face using electrical resistivity tomography (ERT), the data loss caused by electrode disconnection adversely affects early warning of water inrush and prevents the identi...

Machine learning-based modeling of the anode heel effect in x-ray Beam Monte Carlo simulations.

Physics in medicine and biology
To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo(MC) simulations of x-ray imaging systems, enabling realistic beam intensity profiles with minimal experimental calibration.Multiple regression ...

A novel prediction approach of three-dimensional thermal fatigue cracks in thermal compression bonding electrodes based on digital twin.

PloS one
Thermal compression bonding (TCB) electrodes that initiate thermal fatigue cracks compromise reliability and takt time in electronic manufacturing, and accurate prediction of three-dimensional (3D) electrode cracks is a prerequisite for crack mitigat...

Portable AI-driven electrochemical aptasensor for real-time Staphylococcus aureus detection in food and beverages.

Mikrochimica acta
A portable electrochemical aptasensor integrated with machine learning was developed for rapid and on-site detection of Staphylococcus aureus (S. aureus) in food and beverage samples. The aptasensor was fabricated using screen-printed carbon electrod...

A microneedle-based integrated three-electrode system for pesticide detection using machine learning.

The Analyst
Pesticides contribute to enhanced agricultural productivity, yet excessive residues pose significant health risks to humans as they persist even after washing, making their detection in crops critically important. In this study, we employed 3D-printe...

Machine Learning-Integrated Electrochemical Sensors for Accurate and Continuous Free Chlorine Monitoring.

ACS sensors
Accurate and continuous monitoring of free chlorine concentrations is essential for ensuring water safety in applications such as drinking water disinfection and food sanitation. Traditional methods for free chlorine detection, including colorimetry ...

Flexible and Stretchable Gold Three-Dimensional Electrode: Neural Network Induction and Mechanotransduction Observation.

ACS sensors
Neural cells reside in a three-dimensional (3D) microenvironment where the structure of the nerve circuitry is shaped by the morphology and stiffness of the surrounding extracellular matrix. In this environment, regular exposure to varying mechanical...

Rapid Template-Transferred Printing of Gelatin-Based Ionogels with Bioinspired Hierarchical Microstructures for Flexible Tactile Sensors.

Biomacromolecules
Flexible pressure sensors are pivotal for e-skin, artificial intelligence interactions, and personalized medicine. Nevertheless, integrating high sensitivity, a broad detection range, and biodegradability remains difficult. Herein, we developed a fle...

Neurochemical profiling in urine: Multiplexed detection of dopamine and serotonin using ML-integrated laser-induced graphene biosensors.

Biosensors & bioelectronics
Simultaneous monitoring of dopamine (DA) and serotonin (SER) in urine offers a non-invasive route for diagnosing neurological, psychiatric, and metabolic disorders. However, their multiplexed detection at the point-of-care remains challenging due to ...