ArticleMeasurement : journal of the International Measurement Confederation2022
Integrating bio medical sensors in detecting hidden signatures of COVID-19 with Artificial intelligence.
Article in Measurement : journal of the International Measurement Confederation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Recent Advances in Xenes Based FET for Biosensing Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Artificial intelligence-powered electrochemical sensor: Recent advances, challenges, and prospects.Heliyon · 2024Review
- TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses.Discover nano · 2023Review
- Carbon-based biosensors: Next-generation diagnostic tool for target-specific detection of SARS-CoV-2 (COVID-19).Talanta open · 2023Article
- A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique.Diagnostics (Basel, Switzerland) · 2023Article
- As a pandemic strikes: A study on the impact of mental stress, emotion drifts and activities on community emotional well-being.Measurement : journal of the International Measurement Confederation · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Today COVID-19 pandemic articulates high stress on clinical resources around the world. At present, physical and viral tests are slowly emerging, and there is a need for robust pandemic detection that biomedical sensors can aid. The utility of biomedical sensors is correlated with the medical instruments with physiological metrics. These Biomedical sensors are integrated with the systematic device to track the target analytes with a biomedical component. The COVID-19 patients' samples are collected, and biomarkers are detected using four sensors: blood pressure sensor, G-FET based biosensor, electrochemical sensor, and potentiometric sensor with different quantifiable measures. The imputed data is then profiled with chest X-ray images from the Covid-19 patients.Multi-Layer Perceptron (MLP), an AI model, is deployed to identify the hidden signatures with biomarkers. The performance of the biosensor is measured with three parameters such as sensitivity, specificity and detection limit by generating the calibration plots that accurately fits the model.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.