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A Real Time Healthcare Monitoring System Based on Open Source IoT and ANFIS

A Real Time Healthcare Monitoring System Based on Open Sourc...

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International conference on ent Computing and Control Systems (ICICCS)

作者： Mansi Subhedar Vrushali Jadhav Shashank Tekade Manish Prajapati Dept. Of Electronics and Communication Engineering Pillai HOC College of Engineering & Technology Rasayani Maharashtra India

ISBN: (纸本)9781538628430;9781538628423

Integrating the healthcare monitoring devices with various emerging technologies like wireless sensor networks and Internet of Things (IoT), has become a keen area of interest worldwide. The proposed system aims to develop a wearable wireless body sensor device integrating adaptive neural intelligence in the field of healthcare monitoring using IoT. Wireless body sensor units are able to detect behaviour of human body parameters and transmit them using various data analysis and transmission techniques. Adaptive Neural Fuzzy Inference System (ANFIS) would allow the system to prioritize the collected physiological parameters from the sensor nodes by itself, making it a smart healthcare monitoring system. The proposed model has been developed as a prototype of a real-time wearable e-healthcare monitoring system by integrating ANFIS and an open source IoT. The model consists of sensors that collects vital data from patient's body and then transmits using Wi-Fi to the Cloud service which can be accessed by any IoT platform (ThingSpeak) on central HUB. At central HUB, fuzzy logic converts raw data into linguistic variables which is trained in ANFIS to give priority to patients depending on the status of patient. This system results in providing a reliable, accurate and real time data of patients continuously, and transmits the prioritized data during emergency.

关键词： Medical services Monitoring Fuzzy logic biomedical monitoring Wireless fidelity Wireless sensor networks Internet of Things

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A Mobile Mental Health Monitoring System: A smart Glove

A Mobile Mental Health Monitoring System: A Smart Glove

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International IEEE conference on Signal-Image Technologies and Internet-Based System

作者： Luay Fraiwan Tasnim Basmaji Omnia Hassanin Department of Electrical and Computer Engineering Abu Dhabi University Abu Dhabi United Arab Emirates

ISBN: (纸本)9781538693865;9781538693858

This paper proposes a mobile mental health monitoring system for the use during simple daily activities. The primary function of the system is to continuously monitors changes in skin temperature, galvanic skin resistance, and heart rate variability (inter-beat-intervals and cardiac vagal tone index). Changes in these recorded parameters can be later viewed and interpreted by an expert to provide insight about mental health and mental states. The architecture of the proposed system mainly consists of a wearable wireless multi-sensor glove, a permanent data storage unit (cloud database), and a user interface (web page). The wearable glove integrates a skin temperature sensor, a galvanic skin resistance sensor, and a pulse sensor, and it records then transmits the raw signals from the sensors through Wi-Fi to the cloud database. The data existing in the database can be retrieved, processed if needed, then displayed via the user interface. %THE SAMPLING RATE, THE TRANSMISSION RATE, AND THE CLOUD STORAGE CAPACITY The proposed system was tested for two simulated emotional situations: relaxation and annoyance. The recorded signals showed significant variability in the galvanic skin resistance and heart rate variability signals between the two situations. The proposed system can be effectively used in many fields where physiological measures are utilized to evaluate and understand human behavior and mental health. Such fields include psychophysiological research, education, performance enhancement, and biofeedback therapy.

关键词： Skin biomedical monitoring Databases Data acquisition Data communication Heart rate variability Monitoring

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Improved Patient Outcomes through Collaborative Monitoring and Management of Subtle Behavioral and physiological Health Changes

Improved Patient Outcomes through Collaborative Monitoring a...

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Annual Hawaii International conference on System Sciences (HICSS)

作者： Paul J. Fortier Brendon Puntin Osama Aljaroudi University of Massachusetts Dartmouth USA

This paper describes a highly mobile collaborative patient-centric, self-monitoring, symptom recognition and self intervention system along with a complementary clinical nursing tool to aid in collaborative patient/clinician chronic cardiac disease management. Our system is composed of a mobile smart phone and wearable sensor suite linked through blue tooth and cell phone technology to a backend data repository, data mining, knowledge discovery, knowledge evolution and knowledge processing system, providing clinical data collection, procedural collection, intervention planning, medical situational assessment and health status feedback for collaborative users. The system uses a combination of physiologic and psychosocial instruments to gather patient specific information. The collaborative system aids patients in learning to recognize disease symptoms and understand the effect on their health of adherence to interventions. Secondly the system provides timely clinical data collection, assessment and interventions so clinicians can improve the overall health and lower the re-admission of their patients.

关键词： Collaboration Heart biomedical monitoring Mobile communication Diseases Monitoring

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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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Monitoring Vital Parameters of Comatose Patients using smart sensors Integrated with Cloud Storage

Monitoring Vital Parameters of Comatose Patients using Smart...

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International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： P. Sinthia Malathi. M Sripriya. T Rahul Krishnan Gurumoorthy. G K. Jalaldeen Dept. of Biomedical Engineering Saveetha Engineering College Chennai India Dept. of ECE Rajalakshmi Institute of Technology Chennai India Dept. of ECE Jeppiaar Institute of Technology Chennai India Dept. of ECE SRM Institute of Science and Technology Chennai India Dept. of Medical Electronics Saveetha Engineering College Chennai India Dept. of ECE Solamalai College of Engineering Chennai India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

The monitoring of comatose patients is critical for identifying adverse changes in their physiological state and ensuring timely medical intervention. This research presents a novel IoT-based system for remotely monitoring and assessing vital signs in comatose patients. The proposed system utilizes various IoT sensors to measure pulse, respiratory rate, and eye movement, transmitting data to a centralized database and connected devices for real-time monitoring by healthcare professionals and family members. This approach offers a significant improvement over traditional observation methods, which can be time-consuming and prone to human error. By providing up-to-date information about the patient's vital signs and body movements, the IoT-based system enhances the quality of care and improves patient outcomes. This paper discusses the system's characteristics, building blocks, and implementation challenges based on existing research in this area.

关键词： Temperature sensors Cloud computing Pulse measurements Medical services sensor systems Real-time systems Reliability smart devices Monitoring Intelligent sensors

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VitalLogger: An adaptable wearable physiology and body-area ambiance data logger for mobile applications

VitalLogger: An adaptable wearable physiology and body-area ...

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International Workshop on Wearable and Implantable Body sensor Networks (BSN)

作者： Duarte Dias Nuno Ferreira João Paulo Silva Cunha Faculty of Engineering (FEUP) University of Porto Porto Portugal Institute for Systems Engineering and Computers - Technology and Science (INESC TEC) University of Porto Portugal

Current mobile revolution is leading to an increase of wearable health devices development and consequently a growth in ambulatory monitoring area. These systems can be applied in ambulatory diseases management and diagnosis, personal health monitoring or sports performance enhancement, providing physiological and body-area ambiance data during daily normal activities. Nowadays several devices in the market have this type of technology, being one of them the VitalJacket ® (VJ ® ), a product from Biodevices, S.A. This device is a medical certified smart t-shirt with textile embedded electronics for ambulatory monitoring of electrocardiogram (ECG), Heart Rate (HR) and Accelerometer (Acc) data that is in the market since 2008. In this work we report the result of a university-company joint R&D effort that aimed to propose a reference extension architecture - called VitalLogger - for VJ ® wearable health device that enables sensors seamless “plug-in” to the company product. As a proof of concept of this novel adaptable architecture, we jointly implemented a prototype that extends VJ ® technology to incorporate new sensing modules in a seamless way. Both hardware and firmware were re-designed and extended to create a reference extension architecture, enabling easy integration of different sensing modules according to the user monitoring preference/scenario. Besides the ECG module already incorporated in VJ ® , a module with a Blood Oxygen Saturation (SpO2) sensor and an ambiance temperature and relative humidity sensor was developed and added to the extended prototype VitalLogger. This prototype was successfully built and tested, showing excellent results. The VitalLogger adaptable extension architecture has shown its scalability by enabling seamless “plug-in” sensing modules thus creating the possibility of swift creations of new products with different sensors combinations to adapt to different monitoring scenarios.

关键词： biomedical monitoring Monitoring Prototypes Temperature sensors Electrocardiography Testing

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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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A Health-Care Network with Service-Based Architecture

A Health-Care Network with Service-Based Architecture

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2012 International conference on Medical Physics and biomedical Engineering(ICMPBE 2012)

作者： Ching-Sung Wang Chien-Wei Liu Teng-Wei Wang Yi-Shiun Lee Cheng-Yen Li Da-Lin Lee Institute of Information and Communication Engineering Oriental Institute Technology The Third Department of Clinical Research Institute Peking University Department of Information Management St.Mary's College

This paper proposes a state-of-the-art framework on the remote household health-care system which combines a wireless sensing functionality with the wireless signal transport interface to form a physiological signal sensing *** analyzing these received physiological signals via post-signal processing units,the system can automatically subscribe a suitable health consulting message and then transmit the message back to the *** patients can monitor the physiological signals in real-time,and at the same time the patients can derive an essential health-care *** physiological signal transport interface is based on standard Bluetooth *** physiological sensor measure contains various physiological signals,e.g.,a heartbeat,oxygen saturation,blood pressure,or ECG *** signals are received via the Bluetooth access points and then passing through the internet toward the remote databank storage ***,the patients can registrate a health-care website platform,which is based on an architecture of the smart website module,to derive the essential information in the *** a health-care consulting network can make patients to get a fair share of the medical *** addition,the electronic medical record in the network is standardized in terms of HL7(Health Level Seven).Here we define XML(extensible markup language) as a tool to unify the record formats in different medical *** the proposed health-care network can play a role of bridge at medical information *** on this architecture,the patients can monitor the measurement results of various physiological signals in ***,such an integration service can significantly reduce the medical staff's diagnosis time.

关键词： Health-care system,physiological signal,Bluetooth,Real-time

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IoMT & ML Model to Detect Stress in Human

IoMT & ML Model to Detect Stress in Human

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International conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)

作者： Bhaludra R Nadh Singh Sindhura Ghanta Thokala SaiShivani Basingala Sai Vaishnavi Polishetty Sravya Shaik Shifa Department of Computer Science and Engineering Bhoj Reddy Engineering College for Women Hyderabad India Department of Computer Science and Engineering Bhoj Reddy Engineering College Hyderabad India Department of Computer Science and Engineering Bhoj Reddy Engineering College Hyderabad Telangana India Department of Information Technology (IT) Bhoj Reddy Engineering College Hyderabad India

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

Today's fast-moving surroundings cause stress for heaps. Real-time stress administration may be troublesome, regardless of the allure of negative effects on tangible and insane fitness. ML, IoMT, and AI abilities change how we live and work and solve this question. "A smart biomedical Healthcare System to Detect Stress Utilizing IoT, Machine Learning and Artificial Intelligence," intends to utilize physiological sensors like soul rate, hotness, dampness (sweat) sensors and first verbalizations to detect stress. The submitted approach can path and categories folk into "difficult" and "non-tense" circumstances. Our classification results manifest the advantage of our approach in certain-occasion stress identification. The main aim of the original search out supports a novel procedure of identifying early stress something did surroundings, knowledge atmospheres, and administrative settings to support laborers’ and scholars' welfare and someday increase productivity

关键词： Temperature sensors Temperature measurement Anxiety disorders Real-time systems sensor systems Biosensors biomedical monitoring Intelligent sensors Stress Monitoring

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IIoTHRT: Experimental Analysis of Heart Rate Tracking Methodology Using Intelligent sensors and Internet of Things Assistance

IIoTHRT: Experimental Analysis of Heart Rate Tracking Method...

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Sustainable Computing and smart Systems (ICSCSS), International conference on

作者： P. Pakutharivu P. Mahalakshmi Bhushan P. Saoji A. Padmashree R. Thiagarajan S. Arun Department of Computer Science Anna Adarsh College For Women Chennai India Department of CSE Jerusalem College of Engineering Chennai India Dept of Instrumentation Engineering Bharati Vidyapeeth college of Engineering Navi Mumbai India Department of CSBS Bannari Amman Institute of Technology Sathyamangalam India Department of IT Prathyusha Engineering College Chennai Tamilnadu India Department of ECE Jerusalem College of Engineering Chennai India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

Improvements in disease prevention and patient health maintenance made possible by technological advancements have given rise to new areas of study, including systems for monitoring. Vital signs, such as heart rate, indicate how healthy a person's cardiovascular system is. Multiple physiological states are reflected in heart rate, which is defined as the number of beats per minute. These states include biological workload, tension at work and attention on tasks, lethargy, and the heightened state of activity of the nervous system that controls breathing. The electrocardiogram (ECG) waveform or the sensation of the pulse (the regulated enlargement and constriction of an artery caused by the periodic contractions of the heart) is two ways to quantify it. In places where the blood vessel is near to the skin, one may feel the pulse. In order to assess the efficacy of the suggested model, this study details a method for measuring heart rate using an Arduino and the Internet of Things (IoT) known as Intelligent IoT based Heart Rate Tracker (IIoTHRT). The physiological status of a person may be studied by counting the heart beats per minute. This can tell us a lot about their stress levels, how active their autonomic nervous system is, how fatigued they are, and how hard they are working. There is a shift in the blood volume inside the finger artery because the heart is pumping blood throughout the body when it beats. Around the fingertip, there is an optical sensor system that may detect this blood fluctuation. With the help of serial port messages, the signal may be enhanced and transmitted to Arduino. The proposed program allows for the monitoring and calculation of heart rates. The sensor components are photodiode and infrared LED. The infrared light from the LED is reflected back into the fingertip by the blood in the finger arteries. The outcomes demonstrate that this app can read heart rate values and show them on an Android screen. It just takes around 5 or 6 secon

关键词： Heart rate Fingers Message services Light emitting diodes Control systems Internet of Things biomedical monitoring

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