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Artificial neural network integrated heart rate variability with detection system

Artificial neural network integrated heart rate variability ...

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IEEE International conference on Ubi-Media Computing

作者： Chen-Shen Huang Kong-Sheng Huang Gwo-Jia Jong Electronics Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

This paper describes an expert system of bio-information, which is combined with the smart devices using wireless sensor network (WSN). The physiological signals can be acquired by some wireless bio-sensor module, such as electrocardiogram (ECG), heart rate (HR), heart rate variability (HRV) and autonomic nervous system (ANS) activity, etc. The smart device transmits the bio-information by wireless network, which provides the real-time expert consultation function requirements for the purpose of bio-information analysis, storage and decision. The smart device is also connected the expert system server by the wireless network The HRV detection parameter value is adopted the criteria and basis for the features of diabetes by using artificial neural network (ANN) algorithm. The remote client can be inquired the bio-information at any time on internet information service (IIS) platform. In addition, the system platform is adequate for comparing the data files. The bio-information and diabetes information can be provided for the alert message timely and actively. The system of this paper is achieved a ubiquitous mobile physiological monitor purpose.

关键词： Artificial neural networks Medical diagnostic imaging biomedical monitoring Heart rate variability Diabetes Training Accuracy

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Electrodermal Activity smart sensor Integration in a Wearable Affective Computing System

Electrodermal Activity Smart Sensor Integration in a Wearabl...

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conference on Design of Circuits and Integrated Circuits (DCIS)

作者： M. F. Canabal J. A. Miranda José M. Lanza-Gutiérrez A. I. Pérez Garcilópez C. López-Ongil Carlos III University of Madrid Leganés Spain

ISBN: (数字)9781728191324

ISBN: (纸本)9781728191331

Nowadays, the integration of smart sensors in wearable affective computing systems aims to improve and create applications based on conventional sensing technology. The inclusion of this type of sensors is key in high sensing-demanding applications, such as those based on affective computing. This sensing integration must be quantitatively supported by metrics that directly affect performance, such as processing time, memory usage, and measurement accuracy. This paper presents a comprehensive analysis of a specific smart sensor integration in a wearable constrained device from an embedded perspective. The authors performed this implementation by considering BINDI, which is a wearable device developed by the UC3M4Safety research group to prevent gender violence situations. BINDI monitors user physiological and physical variables to detect fear through artificial intelligence algorithms. Along with other sensors, this device incorporates an electroDermal activity (EDA) sensor. This type of sensor was proven to be a valuable source of information directly related to the autonomous nervous system (ANS) activation, which regulates physiological responses in stress and relaxed affective states. In the initial version of Binode, which was validated in different experiments with different volunteers, the EDA sensor is based on a DC measurement schema. However, AC measurement EDA circuitry is known to provide a higher amount of information. Thus, this work presents a detailed comparison between the current EDA sensor and a specific AC smart EDA sensor for a future version of BINDI.

关键词： sensors Intelligent sensors Voltage measurement Skin Current measurement Electrodes biomedical monitoring

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Vibration Energy Harvester Driven Wearable biomedical Diagnostic System 13

Vibration Energy Harvester Driven Wearable Biomedical Diagno...

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13th Annual IEEE International conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS)

作者： Balpande, Suresh S. Kalambe, Jayu Pande, Rajesh S. Shri Ramdeobaba Coll Engn & Management Dept Elect Engn Nagpur 440013 Maharashtra India

ISBN: (纸本)9781538652732

smart fabric technology (SFT) makes easier to monitor physiological parameters. smart Fabric technology or An electronic textile (e-textile) is prepared by incorporating wearable systems along with sensors deployed for body parameters which are used by doctors as markers to summarize health status. Such existing systems are battery driven and required cumbersome maintenance. It is the main cause for limited life span and lack of biocompatibility. These limitations are well addressed by proposing energy harvesting device (EHD) as an alternative to battery. It is basically an energy transduction mechanism in which vibration energy converted to useful electrical energy. This work focuses on low cost fabrication of EHD to make SFT self powered. The fabricated device is built out of polymer substrate, silver electrodes and zinc oxide as piezoelectric material. The devices have been characterized and found electric potential of 2.51Vpeak, 0.76Vrms whereas power was 12.61 mu Wpeak, and 1.18 mu Wrms for 500K Omega load at 53Hz peak resonant frequency. The power demand of commercially available cardiac sensor, adaptive pace maker, pulse oxymeter, sensor node demand power in the range of 1 mu W to 100 mu W. This reveals feasibility of energy harvester as an power source for SFT. Array of series and parallelly connected EHD can be deployed for fulfilling demand of integrated SFT.

关键词： e-Textiles biomedical sensing Energy harvesting device

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smart Device Fall Detection System for Real-Time Monitoring and Emergency Response for Specially Abled Individuals

Smart Device Fall Detection System for Real-Time Monitoring ...

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Software, Systems and Information technology (SSITCON), International conference on

作者： N Rajesh A C Ramachandra V Viswanatha V Chathurima V N Pallavi Swati Pujari Department of ECE Nitte Meenakshi Institute of Technology Bengaluru India

ISBN: (数字)9798350352931

ISBN: (纸本)9798350352948

Fall detection systems are essential for protecting specially-abled individuals and the elderly, who face an increased risk of injury due to falls. This paper presents the design and implementation of a smart Device Fall Detection System aimed at real-time monitoring and emergency response, supported by a dedicated Data Analysis Module for post-fall analysis. The system integrates multiple sensors, including an accelerometer, gyroscope, pressure sensor, cardiotachometer, and GPS module, all connected through an ESP32 microcontroller. It continuously monitors users’ movements and physiological data, which are transmitted to the Blynk cloud service for analysis. The algorithm processes the sensor data to detect fall events and trigger emergency alerts. The Data Analysis Module further analyzes fall data to extract patterns and trends, enhancing the understanding of fall incidents and informing preventive measures. The proposed system was evaluated through various fall and non-fall scenarios, achieving an impressive accuracy of $97.9 \%$ and a response time of just 1.45 seconds. Compared to existing solutions, this system demonstrates enhanced performance in fall detection accuracy, sensitivity, and emergency response efficiency. Ultimately, the smart Device Fall Detection System, combined with the Data Analysis Module, offers a practical and scalable solution to improve the safety and well-being of individuals at risk of falls, paving the way for further advancements in fall prevention technology.

关键词： Data analysis Accuracy Emergency services sensor systems Real-time systems Time factors Fall detection smart devices biomedical monitoring Monitoring

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Experimental Study on Designing Advanced Driver Assistance System for Two-Wheelers Using Mobility and physiological sensors

Experimental Study on Designing Advanced Driver Assistance S...

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IEEE International conference on Vehicular Electronics and Safety (ICVES)

作者： Daiwat Amit Vyas Manish Chaturvedi Naveen Kumar Karan Kamath Piyusha Gupta Aryan Dwivedi Department of Computer Science and Engineering Institute of Infrastructure Technology Research and Management (IITRAM) Institute of Technology Nirma University Department of Computer Science and Engineering IITRAM Indian Institute of Information Technology (IIIT) Vadodara SRM Institute of Science and Technology

ISBN: (数字)9798350387278

ISBN: (纸本)9798350387285

Advanced Driver Assistance Systems (ADAS) enhance driver safety through various technologies. In high-end cars, ADAS typically uses computer vision-based solutions, such as eye-tracking, to monitor driver attention, mood, and drowsiness. However, these ADAS solutions are challenging to implement for two-wheeler (2W) drivers, who constitute about 80% of drivers population in India, mainly due to helmet usage and the unique dynamics of 2W vehicles. This paper investigates improving 2W driver safety through integrating mobility and physiological sensors for ADAS. Experimental studies evaluated a novel ADAS framework combining mobility sensor data (e.g., speed, acceleration, position) with physiological parameters (e.g., heart rate, etc.). This fusion of sensors data approach enables monitoring vehicle dynamics and driver conditions for providing adaptive safety interventions by identifying aggressive/non-aggressive and stress/non-stress patterns. To facilitate the collection of mobility and physiological sensors data a mobile application was developed using Flutter. The physiological parameters were captured from the smart-watch paired with the smart-phone and the mobility parameters were captured from the mobility sensors that were in-built in the smart-phone. The data was collected in Navi-Mumbai area of India. Preliminary experiments conducted using these integrated sensors data show promising results. To incorporate supervised approach for Driver Behaviour Analysis (DBA) requires a tedious task of manual tagging and each driver reacts differently to the different situations that arise while driving. So, an un-supervised learning approach has been incorporated and clustering techniques like k-Means, Gaussian Mixture Model (GMM), Hierarchical Clustering, and k-Means with Dynamic Time Wrapping (DTW) analysed the sensor data to identify patterns indicating potential hazards or driver impairment. The findings based on the preliminary experimental studies done indicate t

关键词： Tagging sensor systems biomedical monitoring Vehicle dynamics Advanced driver assistance systems Driver behavior Wrapping Intelligent sensors Monitoring Vehicles

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A smart Health System: Monitoring Comatose Patient’s physiological Conditions Remotely

A Smart Health System: Monitoring Comatose Patient’s Physio...

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International conference on Information technology Systems and Innovation (ICITSI)

作者： Tati Erlina Marreza Rifa Saputra Rahmi Eka Putri Computer Engineering Department Andalas University Padang Indonesia

ISBN: (纸本)9781538656945;9781538656938

physiological condition monitoring is an indispensable part of comatose patient treatment. Unfortunately, the bedside monitor, a tool which is commonly used to detect the patients' vital sign is only readable by medical officers and need to be observed at a close distance. This research focuses on the development of a system which enables comatose patients' family to read the vital signs effortlessly without having to be continually around the patients who are hospitalized in intensive care units (ICU). The system monitors the number of heartbeats, respiratory rate, and detects eyelid opening using pulse sensor, thermistor and Infrared Light Emitting Diode (IR LED) respectively. All data acquired from the sensors are sent to the database and displayed on Android devices. A special notification is given to family members as well as medical officers when an anomalous condition is detected. From experiments, it can be concluded that the system can monitor patients' physiological condition and send a notification when abnormal ailment happen with 94% accuracy.

关键词： Monitoring biomedical monitoring Eyelids Heart beat Temperature measurement Light emitting diodes Temperature sensors

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A biomedical wearable device for remote monitoring of physiological signals

A biomedical wearable device for remote monitoring of physio...

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International conference on Emerging Technologies and Factory Automation (ETFA)

作者： C.J.N. Coelho A.O. Fernandes J.C.D. Conway F.L. Correa H.S. Carvalho J.M. Mata Departamento de Ciência da Computação Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais Brasil

Recent advances in wireless communication technologies, smart sensors and high-performance low-power microprocessors opened space for applications in many different areas, such as medicine. Putting together these technologies to meet functional specification of the applications and operation requirements still presents many challenges, mainly due to limited power supply. This paper presents research challenges and solutions for a biomedical sensor application. Novel features have been included in a system for real-time remote monitoring of physiological signals (electrocardiogram, blood oxygen level, and blood pressure), improving its functionality, performance, and power management. The concept of quality of service (QoS) is applied to power management, which is focused on the application parameters.

关键词： biomedical monitoring Remote monitoring Space technology Energy management Power system management Quality of service Wireless communication Communications technology Intelligent sensors Microprocessors

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smart Photoplethysmographic sensor for Pulse Wave Registration at Different Vascular Depths

Smart Photoplethysmographic Sensor for Pulse Wave Registrati...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Mairo Leier Kristjan Pilt Deniss Karai Gert Jervan Department of Computer Engineering Tallinn University of Technology Tallinn Estonia Department of Biomedical Engineering Tallinn University of Technology Tallinn Estonia

ISBN: (纸本)9781424492695

The aim of this paper is to propose a smart optical sensor for cardiovascular activity monitoring at different tissue layers. Photoplethysmography (PPG) is a noninvasive optical technique for monitoring mainly blood volume changes in the examined tissue. However, different important physiological parameters, such as oxygen saturation, heart and breathing rate, dynamics of skin micro-circulation, vasomotion activity etc., can be extracted from the registered PPG signal. The developed sensor consists of 32 light emitting sources with four different wavelengths, which are located to the four different distances from four photo detectors. Compared to the existing sensors, the system enables to select the optimal LED (light emitting diode) and photo detector couple in order to obtain the pulse wave signal from the interested blood vessels with the highest possible signal to noise ratio. In this study, the designed PPG sensor was tested for the pulse wave registration from radial artery. The highest efficiency and signal to noise ratio was achieved using infrared LED (940 nm) and photo-diode pair.

关键词： PPG noninvasive designed SRGN gene signal to noise ratios pulse wave sensors Light emitting diodes Blood Volume

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Considerations for Wearable sensors to Monitor Physical Performance During Spaceflight Intravehicular Activities

Considerations for Wearable Sensors to Monitor Physical Perf...

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

作者： Rachel Bellisle Caroline Bjune Dava Newman Harvard-MIT Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA USA Charles Stark Draper Laboratory Inc. Cambridge MA USA Dept. of Aeronautics and Astronautics Harvard-MIT Health Sciences and Technology Cambridge MA USA

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Wearable sensors provide the capability to noninvasively monitor physiological parameters during spaceflight, including those related to physical performance and daily activity. Regular monitoring of general health and exercise capabilities in astronauts can ensure adequate performance levels and record health changes caused by the space environment. Relevant measurables include vital signs, cardiovascular health, and activity monitoring. Wearable sensor devices can be comfortable for long-term use and easy to operate, which is particularly important during more autonomous future planetary missions. Many devices are currently being developed and tested, but few wearable devices or integrated “smart” garments have been assigned for regular use on the International Space Station. The unique needs of the space environment must be considered to facilitate the development and implementation of wearable devices, particularly “smart” sensor garments, for space applications.

关键词： biomedical monitoring Monitoring Temperature measurement Temperature sensors Electrocardiography Wearable sensors Clothing

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Towards semantics in wearable sensors: The role of transducers electronic data sheets (TEDS) ontology in sensor networks

Towards semantics in wearable sensors: The role of transduce...

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International conference on e-health Networking, Applications and Services (HealthCom)

作者： Olamidipupo S. Ajigboye Konstantinos Danas Computing and Information Systems Kingston University London

ISBN: (纸本)9781509033713

sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for smart Transducers. These contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. Therefore, seamless integration and interoperability between sensing technology in wearable and Health Information Systems (HIS) requires attention on the interoperability opportunities at the semantic level. The proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.

关键词： Ontologies Transducers Standards Semantics biomedical monitoring Monitoring Interoperability

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