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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.
Articles Posted in the Month (October 2022)
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.
Published in: IEEE Sensors Journal (Volume: 22, Issue: 7, April 2022)
Summary Contributed by: Dayarnab Baidya
The humidity sensors are in massive demand for widespread applications in modern industries and agriculture. The novel differential humidity sensor designed by integrating air-filled substrate integrated waveguide (SIW), metal grid holes (METGH) and loaded with humidity sensitive (HS) materials boosted humidity sensing response. The longitudinally stacking of sensing and referencing resulted in a compact design, anti-temperature-interference ability, and enhanced sensitivity and resolution that could detect minor variations in environmental humidity.
Published in: IEEE Sensors Journal (Volume: 21, Issue: 18, October 2021)
Summary Contributed by: Anupama
In vascular interventional surgery, experienced physicians rely on proximal force sensing to detect collisions and reduce vascular injury caused by surgical tools. However, in robot-assisted tele-interventional surgery (RATIS), providing high-precision force feedback to the physician is still the main challenge. The researchers developed a haptic robot-assisted catheter operating system with a novel spring-based haptic force interface. With a closed loop force adjustment system, the haptic force interface can provide accurate force feedback. Moreover, a collision protection function with a proximal-force-based collision detection algorithm was proposed to improve surgical safety. In case of no collision, transparency of the teleoperated system is realized; in case of collision, the provided haptic force will be amplified. The results demonstrated the usability of the developed haptic robot-assisted catheter operating system with collision protection function.
Self-Powered Cardiac Monitoring: Maintaining Vigilance With Multi-Modal Harvesting and E-Textiles
Author: Luis Javier Lopez Ruiz, Matthew Ridder, Dawei Fan, Jiaqi Gong , Braden Max Li, Amanda C. Mills, Elizabeth Cobarrubias, Jason Strohmaier, Jesse S. Jur , and John Lach
Published in: IEEE Sensors Journal (Volume: 21, Issue: 2, January 2021)
Summary Contributed by: Pranjali Maru
The advancements in sensors and circuits have led to the development of self-powered wearable sensing systems. Among many it could be used for uninterrupted active and vigilant cardiac monitoring by means of sensing and streaming electrocardiogram (ECG) and motion data to a smartphone. It enables effective care in a non-intrusive manner. Multi-modal energy harvesting from natural sources and integration with e-textiles make these sensing systems a considerable success.
Respiratory Monitoring During Physical Activities with a Multi-Sensor Smart Garment and Related Algorithms
Author: Carlo Massaroni , Joshua Di Tocco, Marco Bravi, Arianna Carnevale, Daniela Lo Presti, Riccardo Sabbadini, Sandra Miccinilli, Silvia Sterzi, Domenico Formica, Emiliano Schena
Published in: IEEE Sensors Journal (Volume: 20, Issue: 4, February 2020)
Summary Contributed by: Anupama
Wearable devices for continuous monitoring of physiological parameters have acquired significance for their usage in healthcare and sports science. Among other vital parameters, the measurement of respiration rate is crucial since it could be used to detect physiological abnormalities and health status changes and even help predict cardiac arrest. The multi-sensor smart garments made of conductive yarns show great potential in developing efficient, noninvasive, and unobtrusive respiration rate monitors.
Posture detection is important for monitoring health status. Incorrect postures may cause muscle weaknesses and body pain. The novel hybrid remote posture detection method developed by integrating machine learning (ML) and deep learning (DL) has produced promising results with 98% accuracy. Remote posture monitoring has the edge over camera-based, and wearable devices due to its privacy preserved feature.
Wearable electronics, mobile applications, the Internet of Things (IoT) technology, and remote monitoring have revolutionized the health care system. The technological advancement in microfabrication techniques has enabled miniaturization and multi-sensing biosensors devices to monitor vital parameters in bioprocesses. Along with its multiple benefits like compact size, low cost, low power consumption, it can also monitor Cell’s density, oxygen, lactate, glucose, temperature, and pH in real-time.
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