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IoT-Enabled Exoskeletons for Firefighters Using Reinforcement Learning for Adaptive Support in Emergency Situations

IoT-Enabled Exoskeletons for Firefighters Using Reinforcemen...

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Intelligent Cyber Physical Systems and Internet of Things (ICoICI), International conference on

作者： D. Anitha S. Kolangiammal K. Lalitha K Vijaya Naga Valli E. N. Ganesh M. Muthulekshmi Department of Information Technology Muthayammal Engineering College Namakkal Tamil Nadu India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Kattankulathur Chennai Tamil Nadu India Department of Information Technology Panimalar Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Sagi Rama Krishnam Raju Engineering College (A) Bhimavaram Andhra Pradesh India Department of Electronics and Communication Engineering St. Peters Institute of Higher Education and Research (SPIHER) Avadi Chennai Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798331540661

ISBN: (纸本)9798331540678

A potential approach to improve firefighters' performance in difficult emergencies has been the combination of exoskeletons with Internet of Things (IoT) technologies in recent years. To provide adaptive assistance to firefighters during crucial missions, this research presents a new framework that uses reinforcement learning (RL) algorithms combined with IoT exoskeletons. The proposed system uses interconnected sensors built into the exoskeletons to track various environmental and physiological variables, including core temperature, heart rate, and ambient light intensity. Firefighters' health and the danger level of the environment are evaluated using these data points in real time. Autonomously adjusting their support systems to offer appropriate help based on the dynamic situation, the exoskeletons use RL techniques. The system learns to predict the actions of firefighters, adapt the amount of help in real-time, and maximize energy efficiency to keep running for longer due to feedback and iterative learning processes. Firefighters and incident command centers can communicate seamlessly with the proposed framework, allowing real-time situational awareness and decision assistance. Firefighters' ability to be safe and successful during emergency operations is greatly enhanced by exoskeletons. smart solutions can protect first responders from harm and make them more resilient in dangerous situations.

关键词： Temperature sensors Exoskeletons Reinforcement learning Transforms Real-time systems sensor systems sensors Internet of Things Iterative methods Strain

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smart Chair for Bio-Medical Applications Using Internet of Things (IoT)

Smart Chair for Bio-Medical Applications Using Internet of T...

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International conference on Advanced Computing and Communication Systems (ICACCS)

作者： Annu Kumari Himanshu Raj Daksh Amit Abhishek Ankur Utsav Department of ECE Vaishali (Govt. of Bihar) Government Engineering College Bihar India Department of Mechanical Engg. Vaishali (Govt. of Bihar) Government Engineering College Bihar India Department of ECE Mesra(Patna Campus) Birla Institute of Technology Patna India

In this work, we present a novel design of smart Chair for Bio medical Application. The main purpose of this proposal is to implement health monitoring system of patients to check medical history using Internet of things. For that we had used various parameter of sensor embedded with chair to read patient’s vital signs automatically whenever patient sit on a chair. Apart from that we are using RFID (Radio frequency Identification) card interface with chair for personal identification of patients in hospitals particularly with name, age, health problem etc. Hence, our proposal can be achieved in two cases for hospital as well as for home. At home smart chair can be used for senior citizen or handicap people for regular check-up while sitting on a chair whenever required. In this case, if physiological parameter (e.g., blood pressure, heart rate, pulse rate, body weight and temperature) reads vital signs all matched to its normal value then it indicates green light. And if 3 to 4 parameters get abnormal or varying then it indicates red light and gives alarm notification through android app to the doctor or nearby hospital staffs through alert message in case of emergency, to take appropriate action. In our case we are using Android app or display screen to display the data or results through Wi-Fi module via internet and can be access it from anywhere and anytime. Here, we are storing patient medical history through android application for future reference.

关键词： Temperature sensors Hospitals Internet of Things Proposals History biomedical monitoring Older adults

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Intelligent Virtual Ambulance Model using Predictive Learning

Intelligent Virtual Ambulance Model using Predictive Learnin...

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Advancements in smart, Secure and Intelligent Computing (ASSIC), International conference on

作者： Sohini Ghosh Sushruta Mishra Kalinga Institute of Industrial Technology Deemed to be University India

Most people are unable to identify their actual illness, and many patients die before they are hospitalized. Therefore, in this research, a health monitoring system (HMS) is proposed and it suggests diseases such as arrhythmia, diabetes, fever, etc. and diagnoses chronic diseases in the ambulance itself and provides real-time prediction for critical and normal patients. The proposed system has a multi-tiered structure where physiological features are captured by wearable medical sensors (WMS) and machine learning suites are used to analyze data and to detect chronic diseases. Results obtained on the real datasets puts forward that sensor data and machine learning can effectively predict chronic diseases in real time. HMS can predict accuracies of various conditions such as arrhythmia (98.89%). Diabetes (96.74%), hypertension (98.85%), fever (99.85%) and thyroid (97.4%). In conclusion, we can say that the proposed HMS can assist us to monitor the affected person's physical condition at his/her residence, or at the ambulance within the golden hour of a patient's life.

关键词： Data privacy Arrhythmia Machine learning Medical services Real-time systems Diabetes biomedical monitoring

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Wearable respiratory strain monitoring system based on textile-based capacitive strain sensor 3

Wearable respiratory strain monitoring system based on texti...

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2020 3rd International conference on Advanced Algorithms and Control Engineering, ICAACE 2020

作者： Jun, Zhong Chun-Na, L.I. Wen-Liang, Z.H.U. Hong, Zhou Yong-Feng, L.I.U. Xue-Feng, H.A.N. Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou215163 China 964 Hospital of the Joint Service Support Force of the Chinese People's Liberation Army Changchun130062 China Changchun Guoke Medical Technology Development Co. Ltd Changchun130000 China

Respiratory state analysis based on respiratory strain monitoring plays an increasingly important role in the assessment of the continuous dynamic physiological state of the human body. The proposed respiratory strain monitoring system uses the STM32F411 single-chip microcomputer as the main control chip, combined with the FDC2214 capacitor-to-digital converter, collects the capacitance value of the flexible cloth-based capacitive strain sensor through the IIC method, and sends the collected result to the upper computer for processing and analysis through Bluetooth. The device collects the respiratory strain signal of the chest in three motion states: Stationary, walking, and running. Through data acquisition and algorithm processing, it can clearly display the waveform of respiratory strain, and the extraction accuracy of the respiratory rate is ±1rpm. The experimental results show that the system has good stability and accuracy, strong anti-interference ability, and can meet the requirements of continuous dynamic high-precision respiratory rate monitoring. © Published under licence by IOP Publishing Ltd.

关键词： Data acquisition

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A Bioinspired Wireless Epidermal Photoreceptor for smart UV Protection and physiological Monitoring

A Bioinspired Wireless Epidermal Photoreceptor for Smart UV ...

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IEEE International conference on Micro Electro Mechanical Systems

作者： Yujia Zhang Mengwei Liu Tiger H. Tao State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China School of Graduate Study University of Chinese Academy of Sciences Beijing China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing China School of Physical Science and Technology ShanghaiTech University Shanghai China Institute of Brain-Intelligence Technology Zhangjiang Laboratory Shanghai China Shanghai Research Center for Brain Science and Brain-Inspired Intelligence Shanghai China

ISBN: (数字)9781665419123

ISBN: (纸本)9781665430241

Skin vision can be found in many invertebrates such as earthworms, jellyfish and octopuses using light-sensitive rod cells in the skin. It enables optical perception and colorimetric responses, providing intriguing capabilities that human skin does not have. We developed a bioinspired wireless, battery-free, artificial skin vision (ASV) device consisting of flexible optical and optoelectronic components which essentially mimic the hierarchical structures and biological functions of rod cells in a skin-like configuration for light sensing and signal processing. The ASV device showed sensitive colorimetric responses to input stimulus, such as ultraviolet (UV) radiation, and demonstrated a capacity for in situ quantitative analysis of biomarkers in sweat through alternative colorimetric light filters. Multiple ASVs together created a body area network with a collection of wireless sensors that can work in parallel to acquire multidimensional human physiological signals and predict fitness variations using a specified deep learning neural network. Our system has potential applications in biomimetic engineering, physiological monitoring and intelligent personalized diagnostics.

关键词： Optical filters Wireless communication Wireless sensor networks Optical device fabrication Optical sensors biomedical monitoring Optical signal processing

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A prototype design of a smart shoe insole system for real-time monitoring of patients

A prototype design of a smart shoe insole system for real-ti...

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International conference on Information Science and technology (ICIST)

作者： Salma Saidani Rim Haddad Ridha Bouallegue National School of Engineers of Tunis (ENIT) Tunisia Innov'Com laboratory High School of communication of Tunis University of Carthage Tunisia

ISBN: (数字)9781728166469

ISBN: (纸本)9781728166476

M-health technology is a key component in digital healthcare monitoring. The Pedology domain has become a thriving topic in the last years. Researches prove that there is a relation between feet analysis and longer healthy life. In this paper, we propose a design of a smart insole system equipped with four resistive sensors (FSR) to provide real-time control of patients without bothering them during their daily activities. The pressure sensors were placed at the bottom of the shoe to assess timing parameters and pressure distribution. Most of the body pressure is measured from the rearfoot and from the forefoot regions. Considering them we have placed two of our sensors in the forefoot region in the hallux part and the last one in the heel. The microcontroller collects the physiological parameters information from the sensors and sends them to a mobile application via Bluetooth interface to allow the user to monitor his gait cycle over time and receive in real-time notification. The data is saved on a database and restored to a web application from which the clinician controls the physical activity of the patients and intervenes in the best moment to help him, then all the data it will be saved on in a firebase. Our proposal proves good results compared to other related works.

关键词： Surgery Footwear Real-time systems sensor systems Mobile applications Timing biomedical monitoring

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Blast wave sensing from flexible piezoelectric materials 15

Blast wave sensing from flexible piezoelectric materials

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15th conference on smart biomedical and physiological sensor technology held at SPIE Defense + Commercial Sensing conference

作者： Willens, Kyle Mannschreck, Richard Muzinich, Blake Rosa, Christopher Kavlicoglu, Barkan Brennecka, Geoff Gordaninejad, Faramarz Adv Mat & Devices Inc Reno NV 89502 USA Colorado Sch Mines Dept Met & Mat Engn Golden CO 80401 USA

ISBN: (数字)9781510627062

ISBN: (纸本)9781510627055;9781510627062

This study investigates the response of flexible piezoelectric materials exposed to blast wave pressure impulses from in-air and underwater explosions. A shock tube was used to produce reproducible shock waves from explosions with average peak pressures in excess of 1,000 kPa for underwater experiments and 100 kPa for in-air experiments. Flexible piezoelectric polyvinylidene fluoride (PVDF) and lead zirconate titanate Pb(Zr,Ti)O3 (PZT) materials were tested for sensing the pressure impulse generated from an explosion. The rise time, peak amplitude, and duration of the blast wave pressure impulse were measured for each piezoelectric material and compared to an OEM blast wave sensor. This study uniquely identifies flexible piezoelectric materials that can accurately measure the blast wave pressure impulse from both in-air and underwater explosions. The accurate response and flexibility of the selected piezoelectric materials demonstrate the potential to be integrated into several forms of sensors, including wearable. Military and industrial applications can potentially benefit from a wearable blast wave sensor to improve medical diagnosis and treatment of blast exposure.

关键词： Blast wave shock wave smart materials sensing piezoelectric fibers piezoelectric films wearable devices sensors

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Guided-mode resonance sensing of neuropeptide-Y with a sandwich assay achieving pg/mL detection 15

Guided-mode resonance sensing of neuropeptide-Y with a sandw...

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15th conference on smart biomedical and physiological sensor technology held at SPIE Defense + Commercial Sensing conference

作者： Magnusson, Robert Abdallah, Mohammad G. Lee, Kyu J. Buchanan-Vega, Joseph A. Wenner, Brett R. Allen, Jeffery W. Allen, Monica S. Gimlin, Susanne Weidanz, Debra Wawro Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA Air Force Res Lab Sensors Directorate Wright Patterson AFB OH 45433 USA Air Force Res Lab Munit Directorate Eglin AFB FL 32542 USA Resonant Sensors Inc Arlington TX 76010 USA

ISBN: (数字)9781510627062

ISBN: (纸本)9781510627055;9781510627062

The guided-mode resonance (GMR) sensor operates with resonant leaky Bloch modes induced in periodic films. The resonance occurs in 1D or 2D nanopatterns that are fabricated by nanoimprint technology. Optical sensors are needed in many fields including medical diagnostics and environmental monitoring. Inducing resonance in multiple modes enables extraction of complete bioreaction information including biolayer thickness, biolayer refractive index, and any change in the refractive index in the background buffer solution. We refer to this version of the GMR sensor as the complete biosensor. We summarize the principles, technology, and applications of this basic sensing methodology. As an example application, we use commercial GMR sensors to quantify the detection of peptides. Using a sandwich neuropeptide-Y (NPY) assay, we measure sub-nM NPY concentrations.

关键词： guided-mode resonance effect guided-mode resonance sensor photonic-crystal sensor leaky-mode resonance resonant waveguide gratings biosensor technology chemical sensor environmental sensor neuropeptide-Y

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smart Wristband with Integrated Chemical sensors for Detecting Glucose Levels using Breath Volatile Organic Compounds 15

Smart Wristband with Integrated Chemical Sensors for Detecti...

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15th conference on smart biomedical and physiological sensor technology held at SPIE Defense + Commercial Sensing conference

作者： Shrestha, S. Harold, C. Boubin, M. Lawrence, L. Sonoma State Univ Dept Engn Sci Intelligent Syst Lab 1801 E Cotati Ave Rohnert Pk CA 94928 USA Miami Univ Dept Elect & Comp Engn 260 E High St Oxford OH 45056 USA

ISBN: (数字)9781510627062

ISBN: (纸本)9781510627055;9781510627062

This paper presents a microcontroller-based solution to classify blood glucose levels using acetone and ethanol breath volatile organic compounds. Two metal oxide semiconductor-based chemical sensors able to detect acetone and ethanol at parts per million concentrations were used. The sensors were tested in a controlled setup with humidified air spiked with acetone and ethanol, mimicking human breath corresponding to low and high blood glucose groups. A support vector machine algorithm was trained and implemented in a microcontroller. In a real time-time test, the trained algorithm classified low and high blood glucose groups with 97% accuracy. Subsequently, a smart wristband prototype that integrates the two sensors was developed. An Arduino-based wearable microcontroller platform was used for its small formfactor and a low-power operation. The wristband is enclosed in a 3D printed housing and powered by an onboard 3.7 V 500 mAh rechargeable Li-ion battery. A smartphone app communicates with the wristband through Bluetooth, allows data visualization, and saves data in the cloud. The presented work makes a significant contribution towards the development of a wearable device for detecting blood glucose levels from a patient's breath.

关键词： smart wristband wearable sensors smart sensing systems sensor data analysis blood glucose level diabetes volatile organic compounds

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Topographic imaging of an absorbing object in a tissue-like scattering medium using a single source-detector pair 15

Topographic imaging of an absorbing object in a tissue-like ...

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15th conference on smart biomedical and physiological sensor technology held at SPIE Defense + Commercial Sensing conference

作者： Mertiri, M. Raptis, N. Fragkos, M. A. Roditi, E. Syvridis, D. Univ Athens Dept Informat & Telecommun Univ Campus Athens 15784 Greece Eulambia Adv Technol Ltd 24 Agiou Ioannou St Athens 15342 Greece Univ Athens Dept Phys Univ Campus Athens 15784 Greece

ISBN: (数字)9781510627062

ISBN: (纸本)9781510627055;9781510627062

Diffuse optical tomography is an emerging biomedical imaging technique, due to its numerous advantages, such as low cost and non-ionizing radiation. In this work, we have developed a very simple setup, which included a single source - photodiode (SP) pair for scanning a sample of water with diluted Intralipid, simulating a biological tissue. LEDs emitting at 470, 525 and 624 nm, as well as a 650 nm Fabry Perot laser, were used as light sources. Scattered light from the sample was detected by the photodiode placed next to the LED. The SP distance could vary and the phantom could be scanned by moving the SP pair in precise, small and automated steps without any intervention during the measurements. Therefore, we obtained measurements from multiple locations on the sample, with just one SP pair. The presented experimental system verified the feasibility of deploying extremely low cost devices for detection and imaging absorbing objects of 1 cm height, placed inside a scattering medium. Maximum depth detection was 2.5 cm. As expected, the quality of the obtained images was degrading, as the object's depth or the scanning step was increasing. Additionally, we developed Monte Carlo simulations of the setup, which achieved good agreement with the experimental results. We also conducted another set of simulations, studying the depth sensitivity of a single static SP pair considering a scattering medium similar to the experimental phantom with and without object. We observed that the depth sensitivity increases as the source wavelength increases from 450 nm to 650 nm.

关键词： Diffuse optic topography biomedical optical imaging Monte Carlo simulation

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