- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- Air Quality Monitoring and Forecasting
- Non-Invasive Vital Sign Monitoring
- Water Quality Monitoring and Analysis
- Advanced Measurement and Detection Methods
- Heart Rate Variability and Autonomic Control
- Hemodynamic Monitoring and Therapy
- Advanced Sensor and Energy Harvesting Materials
- Optical Imaging and Spectroscopy Techniques
- Mechanical and Optical Resonators
- Respiratory Support and Mechanisms
- Muscle metabolism and nutrition
- Air Quality and Health Impacts
- Diet and metabolism studies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Force Microscopy Techniques and Applications
- Sports Performance and Training
- Analytical chemistry methods development
- Dementia and Cognitive Impairment Research
- Biosensors and Analytical Detection
- Nutritional Studies and Diet
- Clinical Nutrition and Gastroenterology
- Advanced MEMS and NEMS Technologies
Breezing (United States)
2024-2025
Arizona State University
2013-2024
BioElectronics (United States)
2013-2024
Vanderbilt University
2020-2021
Biosensor (Italy)
2015
Tsinghua University
2009
An integrated volatile organic toxicants sensor with a Bluetooth device interface has been developed. The is based on novel tuning fork platform along wireless communication/interface technology taken in an system approach. It features high sensitivity and selectivity. selectivity are accomplished through the use of modified by design (molecularly imprinted) polymers selective filtering. Experiments have shown that can detect toxic compounds (VOCs) under concentrations common interferents...
We present optical imaging-based methods to measure vital physiological signals, including breathing frequency (BF), exhalation flow rate, heart rate (HR), and pulse transit time (PTT). The pattern tracking was based on the detection of body movement associated with using a differential signal processing approach. A motion-tracking algorithm implemented correct random movements that were unrelated breathing. heartbeat obtained from color change in selected region interest (ROI) near...
A highly selective, sensitive, and low-cost hybrid sensing platform is developed based on extraordinary properties of explosives in an ionic liquid integrated electrochemical colorimetric approach.
Real-time detection of trace chemicals, such as explosives, in a complex environment containing various interferents has been difficult challenge. We describe here hybrid nanosensor based on the electrochemical reduction TNT and interaction products with conducting polymer nanojunctions an ionic liquid. The sensor simultaneously measures current from conductance change nanojunction caused product. mechanism, together unique selective preconcentration capability liquid, provides selective,...
We present a noncontact method to monitor blood oxygen saturation (SpO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ). The uses CMOS camera with trigger control allow recording of photoplethysmography (PPG) signals alternatively at two particular wavelengths, and determines the SpO from measured ratios pulsatile nonpulsatile components PPG these wavelengths. signal-to-noise ratio (SNR) value depends on choice found that combination...
Exposure to fine particles can cause various diseases, and an easily accessible method monitor the help raise public awareness reduce harmful exposures. Here we report a estimate PM air pollution based on analysis of large number outdoor images available for Beijing, Shanghai (China) Phoenix (US). Six image features were extracted from images, which used, together with other relevant data, such as position sun, date, time, geographic information weather conditions, predict PM2.5 index. The...
Abstract Due to their distinctive morphology, significant surface-to-volume ratio, and metal-like electrical conductivity, MXenes have emerged as highly promising gas-sensing materials. Traditional MXene-based gas sensors predominantly rely on the conductivity of for signal transduction. However, it is crucial explore alternative transduction mechanisms fully unlock potential in sensing applications. In this study, we successfully showcased development a mass-transduction-based MXene sensor,...
Carbon monoxide (CO) is a highly poisonous gas, which can cause serious health risk. CO monitoring helps protect us from excessive exposure at home and in the workplace, reduce occupation-related risks for workers. Conventional electrochemical metal oxide semiconductors (MOS) based sensors have been widely used, but drawbacks such as poor selectivity calibration burden also limit their applications, e.g., wearable monitors. Aiming reliable, miniaturized, easy-to-use personal device...
We present a noncontact method to measure ballistocardiogram (BCG) and photoplethysmogram (PPG) simultaneously using single camera. The tracks the motion of facial features determine displacement BCG, extracts corresponding velocity acceleration BCGs by taking first second temporal derivatives from respectively. measured BCG waveforms are consistent with those reported in literature also recorded an accelerometer-based reference method. PPG based on reflected light same region, which makes...
Transcutaneous oxygen and carbon dioxide provide the status of pulmonary gas exchange are importance in diagnosis management respiratory diseases. Though significant progress has been made oximetry, not much explored developing wearable technologies for continuous monitoring transcutaneous dioxide. This research reports development a truly sensor using miniaturized nondispersive infrared augmented by hydrophobic membrane to address humidity interference. The CO2 monitor shows well-behaved...
Neuromonitoring in naturalistic environments is of increasing interest for a variety research fields including psychology, economics, and productivity. Among functional neuromonitoring modalities, near-infrared spectroscopy (fNIRS) well regarded its potential miniaturization, good spatial temporal resolutions, resilience to motion artifacts. Historically, the large size high cost fNIRS systems have precluded widespread adoption technology. In this article, we describe first open source,...
A hybrid sensor for monitoring volatile organic compounds (VOCs) in air is developed. The device combines two orthogonal sensing principles, selective molecular binding with a microfabricated quartz tuning fork detector and separation of analytes column. functionalized imprinted polymers to benzene, toluene, ethylbenzene, xylenes (BTEX), the column provides further discrimination real world complex sample analysis. wireless, portable, battery-powered, cell-phone operated, it allows reliable...
Force activation is triggered in a stretched polymer wire with color changes produced as consequence of the molecules undergoing structural and conformational changes. A markedly increased efficiency force achieved by decreasing diameter wires. The hybrid mechanosensitive can function micro- nanoscale sensor. As service to our authors readers, this journal provides supporting information supplied authors. Such materials are peer reviewed may be re-organized for online delivery, but not...
Ketogenic diets are high fat and low carbohydrate or very diets, which render production of ketones upon consumption known as nutritional ketosis (NK). Ketosis is also produced during fasting periods, (FK). Recently, the combinations NK FK, well alone, have been used resources for weight loss management treatment epilepsy. A crossover study design was applied to 11 healthy individuals, who maintained moderately sedentary lifestyle, consumed three types diet randomly assigned over a...
Remote photoplethysmography (rPPG) is attractive for tracking a subject's physiological parameters without wearing device. However, rPPG known to be prone body movement-induced artifacts, making it unreliable in realistic situations. Here we report method minimize the artifacts. The selects an optimal region of interest (ROI) automatically, prunes frames which ROI not clearly captured (e.g., subject moves out view), and analyzes using algorithm CIELab color space, rather than widely used RGB...
Alzheimer’s disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with progressive impact on cognitive and functional abilities. Early detection, particularly of mild impairment (MCI) as an indicator potential AD onset, is crucial yet challenging, given the limitations current diagnostic biomarkers need for non-invasive, accessible tools. This study aims to address these gaps by exploring driving performance novel, non-invasive biomarker...
We present a hybrid system for rapid detection and analysis of benzene, toluene, ethylbenzene, xylenes (BTEX). The combines selective sensitive sensing elements with fast miniaturized chromatographic separation method. are an array microfabricated quartz crystal tuning forks modified molecularly imprinted polymers, the method uses optimized short columns. high sensitivity selectivity together help provides BTEX in real samples containing highly concentrated interfering agents without...