Articles tagged with Sensors
Researchers at IIT developed a self-powered defrosting sensor to detect improper food freezing. The sensor may be used in future applications and has been published in ACS Sensors (doi:10.1021/acssensors.2c01280)
A Washington State University pilot study showed that home sensors can accurately monitor overnight restlessness and sleep problems in people recovering from opioid use disorder. The sensors matched other monitoring methods about 89% of the time, validating patients' concerns about their disturbed sleep.
Researchers created a breathable underwater movement sensor by applying a thin, slippery coating to conductive fabric, enabling the detection of swimmers in distress. The smart system wirelessly alerts a smartphone app when a swimmer stops moving, indicating potential drowning.
A WVU biomedical engineer is working on a rapid diagnostic tool that can detect tick-borne infections such as Lyme disease via a blood sample on a single chip. The tool uses dielectrophoresis and machine-learning to detect diseases within one to two weeks after onset, reducing the risk of hospitalization and chronic conditions.
The UBC Okanagan team has created a novel, passive-de-icing coating that integrates an ice-detecting microwave sensor. This technology enables automatic melting of ice without external energy input, reducing wear-and-tear and energy waste.
Researchers developed a new technique that enables on-device training using less than a quarter of a megabyte of memory, reducing the need for powerful computers and central servers. This approach preserves privacy by keeping data on the device, making deep learning more accessible for low-power edge devices.
A machine learning model developed by Carnegie Mellon University can accurately predict how stay-at-home orders affect people with multiple sclerosis. The model uses passively gathered smartphone and fitness tracker data to identify factors that signal changes in health.
Researchers at University of Auckland developed a non-invasive surface mapping tool to detect gastric slow wave activity, identifying two distinct disease subgroups in chronic nausea and vomiting syndromes. The technology has proven reliable for recording bio-electrical activity on the gut's surface and detecting changes in electromagn...
Researchers developed a novel three-core optical fiber sensor to accurately measure both the magnitude and direction of spine curvature. The sensor offers advantages like low cost, high sensitivity, and small size, making it a promising tool for doctors to diagnose problems in spine curvature.
A recent clinical trial published in Circulation found that Fitbit wearable devices can identify patients with undiagnosed atrial fibrillation, a condition that can lead to strokes. The study, led by Massachusetts General Hospital, used a novel algorithm to detect irregular heart rhythms based on Fitbit sensors.
Imperial College London researchers have developed a new low-cost sensor thread called PECOTEX that can be embedded into clothing to monitor vital signs. The sensors, which cost $0.15 to produce, can track breathing, heart rate, and gases like ammonia, potentially leading to diagnosis and monitoring of disease.
A new wearable device study, DETECT, found that sensor data significantly improves seven-day average predictions for COVID-19 infection by 32.9% in California and 12.2% nationwide. The study tracked physiological changes before symptom onset, providing a valuable tool for predicting viral threats.
Scientists have developed a face mask that can detect common respiratory viruses in the air, alerting wearers via mobile devices within 10 minutes. The mask uses aptamers to identify unique proteins on viral surface proteins, amplifying signals to detect even trace levels of pathogens.
A new wearable device called FAST can measure tumor size changes to the hundredth of a millimeter, providing a fast, accurate, and inexpensive way to test cancer drugs. This technology represents a significant advance in cancer treatment, offering continuous monitoring, flexibility, and non-invasiveness.
Researchers create a new, non-invasive wearable device that can measure tumor size changes in real-time. The 'Flexible Autonomous Sensor measuring Tumors' (FAST) device provides continuous monitoring and accurate results, offering a promising approach to cancer treatment.
WaveLogix, a tech startup, has received a six-month SBIR Phase I grant from the National Science Foundation to develop its Internet of Things sensing system for infrastructure monitoring. The Rebel brand of concrete strength sensors directly measures real-time, in-place concrete strength without destructive testing.
The new approach takes advantage of the way defects in diamonds or semiconductors behave like qubits, amplifying the information stored in solid-state defects. This discovery offers a significant improvement in sensitivity for quantum sensors measuring magnetic fields, temperature changes, and molecular structures.
A NASA initiative studies wildfire-induced air pollution by measuring atmospheric CO and O3 levels using airborne observations. The study found that CO levels increased in the plume as it was transported away from the fire site, while plume age was associated with distance in both vertical and horizontal directions.
Researchers at Tokyo Institute of Technology developed diamond quantum sensors to accurately measure EV battery charge. The sensors can detect small changes in current with 1% accuracy, extending driving range by up to 10%. This breakthrough reduces CO2 emissions and supports carbon neutrality.
Researchers have developed a novel thin-film sensor that accurately tracks light wavelengths with sub-nanometer spectral resolution, enabling efficient counterfeit detection. The small and inexpensive sensors can quickly check documents for security features without expensive laboratory technology.
A new mid-infrared sensor chip can accurately monitor liquid concentrations in real-time, enabling precise monitoring of chemical reactions. The sensor combines customized infrared technology and chemical robustness to deliver data within fractions of a second.
Researchers at MIT developed an AI model that can detect Parkinson's disease from breathing patterns, using a neural network to assess the presence and severity of the condition. The device is non-invasive and can be used in patients' homes without any bodily contact.
Researchers have developed highly sensitive and mass producible organic photodetectors that can detect weak signals. The new photodetectors exhibited a detectivity comparable to those of conventional silicon photodiodes, operating stably under temperatures above 150 °C.
A new sensor can detect and identify different types of nanoplastics in the air using colorful carbon dot films. The sensor can report the amount of particles from a certain plastic type above or below a predetermined concentration threshold.
A team of scientists has developed a novel setup for magnetocardiography using a diamond quantum sensor to measure heart currents at millimeter resolution. The sensor is based on nitrogen vacancies sensitive to weak magnetic fields produced by heart currents and can operate at room temperature.
A tiny sensor can detect lithium levels from sweat on a fingertip in 30 seconds, providing a non-invasive alternative to blood tests. The sensor, developed by researchers, has the potential to improve medication adherence and patient care.
MIT engineers create a flexible, semiconducting film that conforms to the skin like electronic Scotch tape, harnessing gallium nitride's piezoelectric properties for sensing and wireless communication. The device wirelessly transmits signals related to pulse, sweat, and UV exposure without chips or batteries.
Researchers from Chung-Ang University have developed a novel device that uses respiration to power sensors in gas masks, allowing for a continuous electrical output. The device, called IVF-TENG, demonstrates potential applications in portable electronics and wireless data transmission.
Researchers developed a wireless system called Contactless Moisture Estimation (CoMEt) that estimates soil moisture in agricultural fields at multiple depths using radio signals. CoMEt can assess soil moisture without requiring in-ground sensors, making it more cost-effective and convenient for farmers.
MIT researchers developed a method to create 3D-printed materials with tunable mechanical properties and embedded sensors, enabling real-time feedback on movement and interaction. The sensing structures use air-filled channels that deform when moved or squeezed, providing accurate feedback for robotics and wearable devices.
The IQ-Sense project brings together researchers from two German universities to develop and demonstrate integrated quantum sensors for spectroscopic and imaging applications. The project will enable precise measurements of temperature, pressure, magnetic or electric fields, crucial in various scientific and medical fields.
Researchers at the University of South Australia have developed tiny optical fibre sensors to monitor movement and record vital signs, reducing the risk of pressure sores. The technology can detect when patients remain motionless for extended periods, prompting nurses to adjust their position.
Scientists at Tokyo Medical and Dental University developed an enzyme-based biosensor in the form of an electrospun polymer mesh that can detect volatile organic compounds. The dry-form biosensor, which uses embedded enzymes, has been shown to be highly specific and sensitive to ethanol vapor.
A new water-resistant gas sensor can detect nitrogen dioxide in breath, indicating potential pulmonary diseases. The sensor's semi-permeable membrane allows it to block moisture while permitting gas molecule permeation.
Researchers developed a new printing technique that applies a 19th-century color photography method to modern holographic materials, producing large-scale images on elastic materials with structural color. The team's results enable the creation of pressure-monitoring bandages, shade-shifting fabrics, or touch-sensing robots.
Scientists used a nanodiamond-based quantum sensor to measure temperature changes in neurons. The study, published in Advanced Science Journal, found that the sensor's readings correlated with increased neuron firing activity.
The new ultrasound sticker uses a stretchy adhesive layer and rigid array of transducers to produce higher resolution images over a longer duration. It has potential applications in clinical diagnosis and could be made into wearable imaging products that patients can take home or buy at a pharmacy.
MIT scientists have developed 3D-printed plasma sensors that can be produced for tens of dollars in a matter of days, ideal for CubeSats. The sensors use a glass-ceramic material and can withstand wide temperature swings, measuring energy and conducting chemical analyses to predict weather or monitor climate change.
Researchers developed an on-chip spectrometer and silicon nanowires to extract light's angle, spectrum, and other aspects, enabling multimodal imaging. The advancements could enhance autonomous vehicles' vision, biomedical imaging, and telescopes' ability to see through interstellar dust.
Researchers developed smart textiles that sense wearer's posture and motions using a novel fabrication process called thermoforming, which improves pressure sensor precision. The technology has potential applications in healthcare and rehabilitation, such as tracking gait or monitoring pressure on diabetic patients' feet.
Researchers at Oak Ridge National Laboratory demonstrate a system that can detect propane leaks within seconds, alerting emergency services. They also study the secrets of silicon deposits in plants to enhance soil carbon storage. Additionally, they assess the viability of retrofitting untapped dams for hydropower electricity generation.
The university's latest satellite, SCOOB-I, orbits the Earth with advanced payloads, including a small Earth imaging camera and a solar spectrum sensor. The mission provides valuable insights into the Sun-Earth connection and its impact on climate, marking NTU Singapore's leadership in the growing space industry.
The MedSENS instrument measures body temperature, heart rate, and oxygen saturation from the ear canal using innovative sensors. It has been tested in harsh environments and proven to be easy to use, with its data transmitted wirelessly to other devices.
A newly developed wearable sensor patch worn on the neck may predict concussion risk in high-impact sports like American football or judo. The device detects sudden neck strain, such as whiplash, and has shown a strong positive correlation with results from sensors inside a test dummy.
A Quebec research team has successfully synthesized carbon quantum dots from brewery waste, offering a biocompatible alternative to traditional materials. The eco-responsible approach uses microbrewery waste as a source material, reducing the need for pure chemicals and toxins.
A team of researchers from Kyushu University has developed an olfactory sensor capable of identifying individuals by analyzing the compounds in their breath. The system, combined with machine learning, achieved an average accuracy of over 97% in authenticating up to 20 individuals.
Researchers have developed innovative tests for multiple chemicals using plant-based molecules that can detect synthetic cannabinoids and banned pesticides. The system uses a simple and inexpensive approach to quickly signal the presence of nearly 20 different chemicals.
Researchers at MIT have developed a method to enable quantum sensors to detect any arbitrary frequency without losing nanoscale spatial resolution. The new system, called a quantum mixer, injects a second frequency into the detector using microwaves, enabling detection of signals with desired frequencies.
Researchers at University of Texas at Austin and Texas A&M have developed an electronic tattoo that can deliver continuous blood pressure measurements with accuracy exceeding most available options. The device uses graphene bioimpedance analysis to take precise readings, promising a significant improvement in mobile health monitoring.
Researchers at Ural Federal University created a sensor to detect human saliva pH levels using a reusable, non-toxic fluorophore. The sensor can pick up small fluctuations in pH and provides accurate results in just 5-7 seconds.
Researchers have developed an electric nose using porous metal-organic framework films to distinguish between xylene isomers in mixtures. The MOF-based e-nose achieved 86% and 96% accuracy for detecting xylene at low concentrations, paving the way for improved environmental monitoring and diagnostic health testing.
Researchers at Karolinska Institutet have developed nano-sensors that can detect pesticide residues on fruit surfaces in just five minutes. The sensors use flame-sprayed nanoparticles made from silver to increase the signal of chemicals, overcoming high production costs and limited batch-to-batch reproducibility.
A team of physicists has developed a way to perform high precision measurements without relying on special entangled states of light. The breakthrough uses ring resonators, which can be mass manufactured using standard processes, and enables the creation of chip-scale photonic sensors operating at the quantum limit.
A new study presents a self-powering smart pillow that tracks head movement during sleep using triboelectric nanogenerators. This system could improve the accuracy of sleep monitoring and have uses beyond tracking sleep, such as monitoring patients with cervical spondylosis or detecting early warning signs for falls.
The MIT team developed wavelength-induced frequency filtering (WIFF), a novel photonic technique that dramatically improves fluorescent sensor signals. This allows for the implantation of sensors as deep as 5.5 cm in tissue, enabling applications such as tracking specific molecules inside the brain or monitoring drug effects.
Researchers at Northwestern University unveiled a new smart pacemaker that harmlessly dissolves in the body after use. The device communicates with a coordinated network of wearable sensors to continuously monitor physiological functions and autonomously detect abnormal cardiac rhythms.
Researchers from the University of Helsinki used new techniques to observe tree hyraxes in Kenya's Taita Hills, finding that they are social animals with specific habitat preferences. The study estimated a population size of no more than 2,000–4,000 individuals, shedding light on the behavior and conservation of these unique mammals.
Researchers developed an approach to predict shooter localization accuracy using geometric considerations, sensor characteristics, and urban environment. The prediction is represented as an ellipse-shaped area around the true shooter location, with smaller areas indicating higher accuracy.
Scientists at Osaka University have invented a flexible sheet sensor that can detect changes in water temperature and presence of contaminants without disrupting the flow. The technology uses an embedded carbon nanotube film as a photodetector layer, enabling continuous monitoring and non-disruptive sampling.
A new nanosensor platform uses machine learning to analyze spectral signatures of carbon nanotubes for early detection of ovarian cancer. The approach detects biomarkers and recognizes the cancer itself, offering a promising alternative to traditional methods.