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"IEEE Sensors Alert" is a pilot project of the IEEE Sensors Council. Started as one of its new initiatives, this weekly digest publishes teasers and condensed versions of our journal papers in layperson's language.
Early-stage lung cancer is difficult to detect. High-accuracy lung cancer diagnostic methods have previously been reported by measuring the concentration of nonanal gas in exhaled breath. Here, the researchers used alkaline catalysts in nonanal detection reactions inside a suitable glass with nanoscale pores by developing an alkali-resistant porous glass, thus fabricating a simple and highly sensitive nonanal gas sensor.
Published in: IEEE Sensors Journal (Volume: 21, Issue: 13, November 2021)
Summary Contributed by: Kamalesh Tripathy
The recent COVID outbreaks highlighted the need for breathing rate monitoring and increased the demand for hospitalized patients. Monitoring breathing rate is vital for diagnosing diseases and observing patients with pulmonary conditions. The pros and cons of different techniques are studied and categorized under contact and remote modes of respiratory monitoring systems. Various Radar-based methods found to be more suitable for respiration monitoring are discussed.
A Low-Noise Instrumentation Amplifier With Built-in Anti-Aliasing for Hall Sensors
Author: Robbe Riem, Johan Raman, Jonas Borgmans, Pieter Rombouts
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by: Robbe Riem (author)
A silicon validation of an In-the-Loop Sampling Amplifier (ILSA) was proposed as a Hall sensor's core pre-conditioning analog interface circuit. It has the advantages of high one-step gain, low noise, low offset, and inherent anti-aliasing. It can be connected directly to any analog-to-digital converter. The resultant Hall system is a compact, low-noise readout architecture with a digital output.
Dielectrics for Non-Contact ECG Bioelectrodes: A Review
Author: Alhassan Haruna Umar, Mohd Afzan Othman, Fauzan Khairi Che Harun, Yusmeeraz Yusof
Published in: IEEE Sensors Journal (Volume: 21, Issue: 17, September 2021)
Summary Contributed by: Alhassan Haruna Umar (Author)
After years of existence and research efforts, dielectric materials in non-contact bioelectrodes guarantee the hope and survival of patients with heart abnormalities. Without painful skin abrasion, cardiac monitoring devices could reliably ensure constant care and well-being of patients. The researchers provide invaluable insights into the influence of dielectric materials that could change the future of ECG monitoring systems.
Portable Tools for COVID-19 Point-of-Care Detection: A Review
Author: Elga F. Saki, Samuel A. Setiawan, Dedy H. B. Wicaksono
Published in: IEEE Sensors Journal (Volume: 21, Issue: 21, November 2021)
Summary Contributed by: E.V.V. Hari Charan
The Global pandemic, COVID-19, surged the demand for easy-to-use, low-cost, portable, sensitive, and quick diagnostic devices with accurate detection probability for SARS-CoV-2 diagnosis. The researchers responded fast by developing various detection methods based on the target biomarkers. The focus is on the new approach using sensing arrays combined with artificial intelligence (AI) analysis to develop portable tools for reliable, inexpensive, and sensitive COVID-19 point-of-care detection.
A Hybrid Camera System for High-Resolutionization of Target Objects in Omnidirectional Images
Author: Chinthaka Premachandra, Masaya Tamaki
Published in: IEEE Sensors Journal (Volume: 21, Issue: 9, May 2021)
Summary Contributed by: Pranjali Maru
The growing use of cameras in crucial applications such as surveillance demands intensive research in image capturing and processing. Capturing a high-quality comprehensive view of a site is required. A hybrid camera platform consisting of an omnidirectional camera for a wide angle of images and a pan-tilt camera for handling the resolution of images is proposed. Multiple experiments demonstrated its ability to capture high-resolution images with a 360-degree panorama.
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
Author: Rajesh Kumar, Abdullah Aman Khan, Jay Kumar, Zakria, Noorbakhsh Amiri Golilarz, Simin Zhang, Yang Ting, Chengyu Zheng, Wenyong Wang
Published in: IEEE Sensors Journal (Volume: 21, Issue: 14, October 2021)
Summary Contributed by: Anupama
COVID-19, the global pandemic, highlighted the need for global collaboration. Massive real-life COVID-19 patients' data were required for identifying positive cases and understanding the nature and spread of the rapidly evolving Coronavirus. A collaborative capsule-based deep-learning model was built to segment and classify COVID-19 infections using Computed Tomography (CT) imaging. The privacy concerns of the organizations, data authentication and normalization were addressed using a blockchain-based federated learning process. It resulted in rapid and accurate detection of COVID-19 symptoms without compromising privacy concerns.
Multifunctional Electronic Skin With a Stack of Temperature and Pressure Sensor Arrays
Author: Yogeenth Kumaresan, Oliver Ozioko, Ravinder Dahiya
Published in: IEEE Sensors Journal (Volume: 21, Issue: 23, December 2021)
Summary Contributed by: Ravinder Dahiya (author)
The rapid advancements in flexible electronics, nanotechnology and material science have enabled engineers and scientists to realise a flexible electronic skin (e-skin) with human-like sensing capabilities. The multifunctionality of such e-skin is proposed to enable robots with human-like dexterity, cognitive skills and abilities. This is anticipated to significantly advance interesting areas such as healthcare, robotics, and human–machine interfaces.
NO2 Gas Sensor Using Iodine Doped Graphene at Room Temperature with Electric Field Enhanced Recovery
Author: Monica Jaiswal, Robin Kumar, Jagjiwan Mittal, and Pika Jha
Published in: IEEE Sensors Journal (Volume: 22, Issue: 7, April 2022)
Summary Contributed by: Kamalesh Tripathy
Sensing NO2 gas in the air is an upcoming field of study due to its increased presence as an environmental pollutant and adverse effect on human health. Researchers developed a novel NO2 gas sensor using a synthesized material called the Iodine-doped Multilayer Graphene (I-MLG) to detect NO2 at its minimum concentration in air. The small doping of iodine in multi-layered graphene and the field effect transistor (FET) structure of the sensor makes the fabricated sensor rapid, reversible, compact and a good NO2 gas sensor.
Using Adaptive Wireless Transmission of Wearable Sensor Device for Target Heart Rate Monitoring of Sports Information
Author: Zhenyong Han
Published in: IEEE Sensors Journal (Volume: 21, Issue: 22, November 2021)
Summary Contributed by: Pranjali Maru
The growing consciousness for health and fitness supported by technological advancements has made smart wearable sensor devices for health monitoring popular. A target heart rate monitoring system, extracting clean heart signals from a polluted source, is proposed for effective micro-monitoring using an adaptive optimization algorithm. The adaptive wireless transmission of sports information and detection system for smart wear is then integrated with a smartphone to display the analysis to the user in a readable format.
Diabetes leads to serious health challenges and is a leading cause of numerous chronic diseases. This study explores electronics-based biosensors, particularly Organic Field Effect Transistors (OFET) and Organic Electrochemical Transistors (OECT), as adept glucose and DNA biosensors in diabetes management. The biosensors, fabricated from biodegradable natural materials, offer a flexible, cost-effective, and easily accessible solution, showcasing exceptional sensitivity and selectivity in their performance.
The Internet of Things (IoT) connects different objects embedded with sensors, software and state-of-the-art technologies through the internet, enabling them to communicate in real-time through the wired or wireless communication system. Its application requires validation before actual implementation to reduce the risk involved, especially in security and privacy. The development of experimental environment (testbeds) provides an efficient platform for conducting practical IoT experiments under real conditions and precise testing techniques for wireless sensor networks (WSN) and IoT applications before implementation.
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