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41st Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Cohen-McFarlane, Madison Goubran, Rafik Knoefel, Frank Carleton Univ Dept Syst & Comp Engn 1125 Colonel By Dr Ottawa ON Canada Bruyere Res Inst 43 Bruyere St Ottawa ON Canada Bruyere Continuing Care 43 Bruyere St Ottawa ON Canada Elisabeth Bruyere Hosp 43 Bruyere St Ottawa ON Canada

ISBN: (纸本)9781538613115

Sensing technologies are embedded in our everyday lives. smart homes typically use an Audio Virtual Assistant (AVA) (e.g. Alexa, Siri, and Google Home) interface that collects sensor information, which can provide security, assist in everyday activities and monitor health related information. One such measure is cough, changes of which can be a marker of worsening conditions for many respiratory diseases. Creating a reliable monitoring system utilizing technology that may already be present in the home (i.e. AVA) may provide an opportunity for early intervention and reductions in the number of long-term hospitalizations. This paper focuses on the optimization of the silence removal and segmentation step in an at home setting with low to moderate background noise to identify cough events. Three commonly used methods (Standard deviation (SD), Short-term Energy (SE), Zero-crossing rate (ZCR)) were compared to manual segmentations. Each method was applied to 209 audio files that were manually verified to contain at least one cough event and the average segmentation accuracy, over segmentation and under segmentation results were compared. The ZCR method had the highest accuracy (89%);however, it completely failed under moderate noise conditions. The SD method had the best combination of accuracy (86%), ability to perform under noisy conditions and low prevalence of over and under segmentation (22% and 15% respectively). Therefore, we recommend using an adaptive approach to silence removal among cough events based on the level of background noise (i.e use the ZCR method when the background noise is low and the SD method when it is higher) prior to implementation of a cough classification system.

关键词： Monitoring Standards Manuals Frequency measurement smart homes Noise measurement biomedical monitoring

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2 x 3 Arrayed CMOS Capacitive Biosensors for Detection of microRNAs on a Microfluidic System

2 x 3 Arrayed CMOS Capacitive Biosensors for Detection of mi...

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IEEE International conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Yu-Husan Kuo Chi-Chien Huang Yi-Sin Chen Po-Chiun Huang Gwo-Bin Lee Institute of Nano Engineering and Microsystems National Tsing Hua University Hsinchu Taiwan Interdisciplinary Program of Life Science National Tsing Hua University Hsinchu Taiwan National Tsing Hua University Hsinchu Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu Taiwan

ISBN: (数字)9781728172309

ISBN: (纸本)9781728172316

Breast cancer is one of the most important cancers among women worldwide. Since breast cancer is prone to metastasis and recurrence, mortality is relatively high if not diagnosed early. Therefore, it is important to develop a device that can quickly and accurately diagnose breast cancer. Recently, microRNAs such as microRNA-195 and microRNA-126 have been reported to act as biomarkers for breast cancer diagnosis. Therefore, this study reported an integrated microfluidic system capable of extracting microRNAs by microfluidic techniques, detecting and quantifying microRNAs by using complementary-metal-oxide-semiconductor (CMOS) capacitive biosensors for rapid and accurate diagnosis of breast cancer. Monolithic sensor with integrated-circuits reduces parasitic effects and submicron interdigitated microelectrodes as sensing interfaces significantly improves sensitivity. microRNA-195 detection for concentrations ranging from 1 fM to 10 pM could be successfully obtained, allowing detection in physiological conditions for cancer patients in the near future.

关键词： Cancer Breast cancer Microfluidics Biomarkers Capacitance Surface treatment sensors

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Salicylic Acid (SA) detection using bi-enzyme microfluidic electrochemical sensor 15

Salicylic Acid (SA) detection using bi-enzyme microfluidic e...

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conference on smart biomedical and physiological sensor technology xV

作者： Kashyap, Bhuwan Kumar, Ratnesh Iowa State Univ Dept Elect & Comp Engn Ames IA 50010 USA

ISBN: (数字)9781510618367

ISBN: (纸本)9781510618367

Salicylic Acid (SA) is a phyto-hormone involved in the regulation of induced plant defense mechanisms, primarily against biotic stresses. Various methods have been reported for detecting SA. The electrochemical methods offer economical, portable, and accurate concentration measurement of bio-chemicals like SA. Electrochemical biosensors often require modification of the working electrode (WE) with specific materials to functionalize it with bio-molecules, needed for target analyte recognition. The proposed biosensor provides a unique methodology of selectively coating the inter-digital electrodes (IDE) and further applying the method to develop a biosensor to detect SA. The electrodes are fabricated using a novel deposition process termed as, Capillary action assisted deposition (CAAD) which consists of IDEs fabricated in the form of small finger-like channels connected to a wider main channel. The drop-casted sample automatically flows from the main channel into the fine fingers under the effect of capillary action. The sensor includes a 3-electrode system arranged in a 3-D geometry, forming an integrated microfluidic channel for analyte solution flow. The WE is selectively coated with, first, Graphene oxide (GO) and next, the bi-enzyme Salicylate Hydroxylase (SH) and Tyrosinase (TYR) recipe using the proposed CAAD process. The bi-enzyme exhibits selectivity towards SA and the proposed sensor shows the detection range of 0.5 mu m to 64 mu m. The electrochemical reactions are characterized by Chrono-amperometry (CA) and shows the sensitivity of 34.4 mu A cm(-2) per decade change in SA concentration (in mu m). To the best of our knowledge, the proposed bi-enzyme system in a microfluidic device for SA sensing is the first of its kind.7

关键词： Salicylic acid Phyto-hormone Electrochemical bi-enzyme microfluidic capillary action

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Dehydration measurement using sweat sensor patch and pulse sensor

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Journal of Physics: conference Series 2021年第1期1937卷

作者： P Manimegala x Anitha Mary Neha Biji V Selshia Shiny Department of Biomedical Engineering Karunya Institute of Technology and Science

technology has increased visibly large. People find ways to easily detect their conditions. Heartbeat and dehydration level is one of the most common among people especially athletes. Athletes are drifted towards wearable technologies to track their training and recovery. Usually a dehydrated person sweats more. The sweat contains various physiological substance and health data. Based on studies sweat consists of salts and ions like [Na+], [K+], [Cl] lactate, glucose and ammonia. We are developing a wearable sweat analyser that can detect the raise in concentration of sodium and potassium. The sweat patch consist of a counter electrode created by screen printing Silver Chloride (AgCl) nanoparticles on Polydimithylsiloxane (PDMS) material and reference electrode (RE) created on the patch material by adding a platinum nanoparticle. This sweat sensor patch is connected to a microcontroller along with a temperature sensor and a Bluetooth module. The data which is collected by the sweat patch and the temperature sensor is sent via Bluetooth to mobile application were the data is displayed.

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Preliminary Study on Multi-sensors Wearable smart Shoes using the Internet of Things Techniques 7

Preliminary Study on Multi-sensors Wearable Smart Shoes usin...

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IEEE 7th Global conference on Consumer Electronics (GCCE)

作者： Lee, Chao-Hsien Gen, Mao-Qun Natl Taipei Univ Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781538663097

Daily exercise leads to better health. Hence, a lot of people keep running or walking habits. Thus, how to become successful runners without injuries is one urgent research issue. This paper shows one wearable smart shoes equipped with several types of sensors for long-term exercise monitoring. Not only the gait status but also the ground surface conditions, e. g., wet or rugged, and physiological signals, e. g., EMG, can be collected and analyzed simultaneously by the proposed smart shoes. Based on our experimental results, the proposed multi-sensor wearable smart shoes can have more than 80% accuracy in average.

关键词： Footwear Intelligent sensors Electromyography Foot biomedical monitoring Muscles

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Development of a smart Home-Based Package for Unobtrusive physiological Monitoring 40

Development of a Smart Home-Based Package for Unobtrusive Ph...

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40th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Armanfard, Narges Komeili, Majid Mihailidis, Alex Univ Toronto Univ Hlth Network Toronto ON Canada

ISBN: (纸本)9781538636466

Home-based programs have been shown to be effective in improving health conditions, patient self-management, quality of life, and health outcomes. However, there is mixed-evidence on the effectiveness of these programs due to limitations in the intervention tools that are used, primarily the burden that is placed on the user, especially among seniors. In this paper we developed a novel home-based package that measures critically important physiological information such that neither active compliance or interaction from the user is required. To this end, we embedded passive sensors (including load cells, electrodes, pulse sensor and color sensors) into common household items such as tiling, furniture and wall. The smart package measures subject's electrocardiogram (ECG), photoplethysmogram (PPG), ballistocardiogram (BCG), electromyogram (EMG) and imaging photoplethysmogram (IPPG). In contrast to the previous studies, the proposed package measures all the physiological information unobtrusively, simultaneously and in a synchronized manner such that all the data samples corresponding to different intervals of a specific cardiovascular cycle can be identified. Such information can be analyzed by a clinician or be used for a higher level information extraction such as beat-to-beat blood pressure estimation. In addition, the proposed package is the first and only home-based technology that can simultaneously and unobtrusively capture both mechanical and electrical characteristics of user's heart activities. This results in a more accurate home-based vital parameters monitoring.

关键词： Intelligent sensors Electrodes Foot biomedical monitoring Electrocardiography Electromyography

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sEmoD: A Personalized Emotion Detection Using a smart Holistic Embedded IoT System

sEmoD: A Personalized Emotion Detection Using a Smart Holist...

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IEEE Annual International Computer Software and Applications conference (COMPSAC)

作者： Akm Jahangir Alam Majumder Tanner M. Mcwhorter Yezhou Ni Hanqing Nie Jacob Iarve Donald R Ucci Department of Electrical and Computer Engineering Miami University OH USA Division of Mathematics and Computer Science University of South Carolina Upstate SC USA

Scientific mental health crisis analysis through smart Internet of Things (IoT) system is able to provide an overall assessment of personalized emotion state. With recent advancements in IoT technology, we developed an embedded smart IoT system (sEmoD) for emotion detection. We designed and implemented a wearable Cyber-Human System (CHS) with a low power Bluetooth communication module to collect Body Area sensor's (BAS) data using a smartphone. This wearable IoT device is capable of collecting physiological data over an extended period of time. Experimentation and verification have been conducted on a group of test subjects with different test scenarios including a happy, depressed, stressed, and calm state of being. This study introduces the use of signal processing and machine learning techniques for sensor data analytics to detect a (potential) personalized mental health crisis. The proposed system, sEmoD, can distinguish between the different emotional crises events with a high degree of accuracy (~80%).

关键词： Temperature sensors Bluetooth Skin Monitoring biomedical monitoring Internet of Things Software

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Design and Verification of a Portable Scanner for Body-worn Wireless Resistive Analog Passive (WRAP) sensors

Design and Verification of a Portable Scanner for Body-worn ...

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IEEE International conference on Electro/Information technology (EIT)

作者： Zaman, Md Sabbir Morshed, Bashir, I Univ Memphis Elect & Comp Engn Memphis TN 38152 USA

ISBN: (纸本)9781538653982

Wireless resistive analog passive (WRAP) sensors are low cost, battery less, body-worn physiological sensors. Portable Scanner is a hardware device capable of acquiring physiological signals from multiple types of WRAP sensors using amplitude modulation (AM) technique. The signal acquisition relies on inductive loading principal of signal due to impedance mismatch between the LC resonator circuits of scanner and the wireless passive sensor. The physiological signals of the subject affect the impedance that results in the mismatch, which eventually modulates the amplitude of scanner-generated carrier wave at 6.15 MHz. The DDS along with RF power amplifier of the scanner generates the carrier wave. The AM wave's top envelope is picked up by an envelope demodulator (f >> 1 KHz) from the AM signal. The signal is processed in analog domain by utilizing a 2nd order Butterworth low pass filter (1.5 KHz), a variable gain (Av) amplifier (Av(min) = 1, Av(max) = 9), then signal is acquired in digital domain via 12 bit ADC and finally is transmitted to a smartphone application via a Class 2 Bluetooth wireless link at a baud rate of 115.2 kbps. The developed scanner device uses a 4-layer PCB (14 cm x 5 cm x 1.25 cm), and contained a 32 -bit low power flash microcontroller (STM32L476) based on ARM Cortex - M processor. The device is powered by a 2000 mAh Li-Poly battery. The circuit consumes 0.69 mA during scanning burst, which can sustain continuous scanning of more than 2028 hours (for consumption rate of 0.7).

关键词： Wearable device mHealth Passive sensor smart Health smart and Connected Community

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sensoring: An Integrated Wearable System for Continuous Measurement of physiological Biomarkers

SensoRing: An Integrated Wearable System for Continuous Meas...

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IEEE International conference on Communications (ICC) / Workshop on Integrating UAVs into 5G

作者： Mahmud, Md Shaad Wang, Honggang Fang, Hua Univ Massachusetts Elect & Comp Engn Dartmouth NS 02747 Canada Univ Massachusetts Comp & Informat Sci Dartmouth MA USA

ISBN: (纸本)9781538631805

Advancements in miniaturized electronics and smart sensors combined with a broad platform of smart phones, big data, cloud service and wireless communication have not only empowered wearable technology, they have also increased users life expectancy. This is done through a range of applications including;tracking physical activity, personalized health care, and recommendations for enhancing user experience. However, the ability to measure one's emotional state using wearable biosensors in healthcare applications has been limited due to several challenges related to a lack in comfort, accuracy, reliability and low-power consumption. In this paper, we presented a novel wearable ring sensor for the continuous measurement of four SNS activities: Electrodermal activity (EDA), heart rate, skin temperature and locomotion. Detailed information is given regarding the development of the proposed ring sensor followed by a discussion of the evaluation that was done utilizing the biosensor on volunteers to gather data. Specifically, volunteers wore the ring sensor while being simultaneously monitored with real-time telemetry and while going through different emotional states. The experiment demonstrated accurate results, and data were collected from 43 participants of diverse age, body mass, height, and race. Additionally, to evaluate the performance of the developed ring sensor, we compared the results with a state-of-the-art open source device. This research aims to improve the worn biomedical sensor market, specifically when it comes to size and accuracy of worn sensors.

关键词： EDA GSR Heart Rate Stress Emotion Ring Drug Real-time Wearable

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Ambulatory sensor for the monitoring of the edema circumference in lower limbs

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sensorS AND ACTUATORS A-PHYSICAL 2018年 272卷 83-91页

作者： Gehin, C. Grenier, E. Chaigneau, C. Reinaudo, J. Claude, A. Massot, B. Montalibet, A. McAdams, E. T. Univ Lyon INSA Lyon CNRS INLUMR5270 F-69621 Villeurbanne France Sigvaris St Just St Rambert France

The monitoring of geometrical variations in segments of the human body is currently not widely used due to the lack of suitable devices. For lower limbs, for example, a simple measuring tape is generally used to periodically measure key dimensions. This measurement approach, and the associated lack of reproducibility, is not compatible with ambulatory monitoring and it is further recognized that precise, standardized reference points are required for the more meaningful monitoring of the lower leg. The paper presents the design and realization of a new sensor system dedicated to the measurement of geometrical variations in the lower limbs, enabling the ambulatory monitoring of leg edemic swelling during daily activity. The sensor is based on an inductive loop directly integrated into a textile band and connected to a miniaturized electronic system which sends, via wireless transmission, the perimeter value of the leg (assuming that its shape is circular) to a laptop and in the near future, to a mobile phone. The inductive loop has been modeled using Matlab to predict the inductance value and determine the necessary parameters of the electronic circuit. The portable, ambulatory device enables the measurement of perimeters ranging from 25 cm to 33 cm, with an accuracy of 0.3 cm. Stability of the sensor over the time is very good (3.4% of the full scale). Hysteresis occurs when the textile is stretched between two extreme values which can be minimized by regular calibration of the system. The presented results are significantly better than those currently obtained using the traditional measuring tape. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Edema monitoring PSoC Ambulatory monitoring smart textile Non-invasive sensor

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