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A information system based on wireless networks for individual care management

A information system based on wireless networks for individu...

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International conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Ke-Xin Liao Si-Yu Zhan Guo-Ming Lu Jian-Ming Liao Schocl of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

An information system for the individual care management was proposed in this paper, which is an embedded physiological data acquisition system based on ATMEL9260 utilizing the combination of wearable physiological detecting technology, sensor technology, electronic technology and network technology. It realized continues and long-term detection of physiological data, contributing to real-time monitoring of patients and remote consultation.

关键词： biomedical monitoring Monitoring Servers Bluetooth smart phones Temperature sensors Temperature measurement

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The human-environment interface design with a vision assistance module or a smart wheelchair

The human-environment interface design with a vision assista...

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International conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： Han-Yen Yu Jiann-Jone Chen Chung-Hsien Kuo National Taiwan University of Science and Technology Taipei Taiwan

Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a friend user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve human interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed to achieve the target. The goal of light mobility can be reached and the overall smart wheelchair system comprises: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture human facial image data. The physiological sensor module is used for sensing user physiological data. The analysis control module seamlessly transmits monitoring signals to a caregiver side in response to the image data or physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.

关键词： sensors biomedical monitoring Face Cameras Monitoring Image color analysis Visualization

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Design of Wireless Based Telemonitoring System with biomedical sensor

Design of Wireless Based Telemonitoring System with Biomedic...

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IEEE International conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： A. O. Ogunsanya D. O. Daramola O. O. Ogunbiyi J. W. Sojobi Y. T. Oladijo S. T. Ajayi Department of Biomedical Engineering Bells University of Technology Ota Nigeria Department of Mechanical Engineering Bells University of Technology Ota Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Patient surveillance is critical in-order to decrease and/or avoid the spread of the chronic conditions. Although effective, the traditional healthcare systems of patient monitoring are limited, making it difficult for ambulatory patient seek medical care and have their physiological parameters evaluated. Advent of wireless technology and advancements in on-body sensor design have enabled a shift in the traditional health-care system. Thereby, allowing smart healthcare systems to take its place. This paper aims to describe the design and development of wireless based telemonitoring system with biomedical sensors for vulnerable individuals. Non-invasive biomedical sensors, signal condition system, Internet of Things (IoT), radio frequency module (RF) was used to implement the design. The sensors were used to collect physiological parameters before transferring over the hybrid transmission medium. Thing-Speak and graphic user interface (GUI) were used to display the results. The system design was successfully deployed, with efficient transmission of patient data with an average accuracy of 99.06%. The hybrid wireless monitoring system can give continuous physiological data as well as more detailed information about an individual's overall health. Hybrid wireless physiological parameter monitoring system has the potential of enhancing the quality of life of disease management individuals and lower healthcare expenditures.

关键词： Wireless communication Wireless sensor networks Surveillance Medical services Internet of Things Biosensors Reliability biomedical monitoring System analysis and design Graphical user interfaces

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A Study on the Development of Portable Wireless Multi-channel physiological Signal Measurement System

A Study on the Development of Portable Wireless Multi-channe...

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IEEE International conference on Awareness Science and technology

作者： Shing-Hong Liu Shao-Heng Lai Tai-Shen Huang Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan Department of Industrial Design Chaoyang University of Technology Taichung Taiwan

Multi-channel physiological signal measurement systems that are available at the moment are usually wired ones, such as the BioPack MP150 system. The latter, however, is known for its huge size, required connection to alternated current power, lack of an independent data storage unit, and lack of wireless transmission. This study aims to develop a portable wireless physiological signal measurement system that consists of 8 channels. With TI MSP430 F5438A at its microcontroller unit, it had a compact size, lithium battery to supply the needed power, Bluetooth 3.0 data transmission, and built-in 2G flash memory, and the signals were showed on a tablet, smart phone or a notebook computer concurrently. Meanwhile, it also supported the extra power supply, ±3V for the other measurement modules. Researcher could use a self-made sensor circuit, and combined with this system to do the ubiquitous healthcare studies.

关键词： Flash memories Current measurement smart phones biomedical monitoring Wireless communication Universal Serial Bus Wireless sensor networks

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smart non-invasive wireless physiological monitoring system

Smart non-invasive wireless physiological monitoring system

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International conference on Embedded Systems (ICES)

作者： Pallavi K. Bhagwat Harshali Zodpe Electronics and Telecomm. Maharashtra Institute of Technology Pune India

In a country like India, patients are monitored in their recovery period, so the cost of hospitalization is also increasing day by day. The physiological parameters like body temperature, heart beat rate are monitored during recovery period of patients. This is done using a “smart Non-Invasive Wireless physiological Monitoring System”, where patients are monitored remotely. Impact sensors are used, which detects the fall of patients, so that immediate help is provided to them. In this paper the temperature, heart beat rate and impact sensors are used to measure physiological parameters which are then analysed and transmitted to PC through ZIGBEE wirelessly. Using GUI, parameters are monitored on PC by medical professionals. The high fluctuations in the parameters will be reported to doctors as a critical condition through GSM.

关键词： Temperature sensors biomedical monitoring Monitoring Temperature measurement Zigbee Wireless sensor networks

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Effect of Viewing Distance on 3D Fatigue Caused by Viewing Mobile 3D Content

Effect of Viewing Distance on 3D Fatigue Caused by Viewing M...

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conference on Three-Dimensional Imaging, Visualization, and Display

作者： Mun, Sungchul Lee, Dong-Su Park, Min-Chul Yano, Sumio Univ Sci & Technol Dept Human Comp Interact & Robot Seoul South Korea Korea Inst Sci & Technol Sensor Syst Res Ctr Seoul South Korea Shimane Univ Interdisciplinary Grad Sch Engn Sci Matsue Japan

ISBN: (纸本)9780819495297

With an advent of autostereoscopic display technique and increased needs for smart phones, there has been a significant growth in mobile TV markets. The rapid growth in technical, economical, and social aspects has encouraged 3D TV manufacturers to apply 3D rendering technology to mobile devices so that people have more opportunities to come into contact with many 3D content anytime and anywhere. Even if the mobile 3D technology leads to the current market growth, there is an important thing to consider for consistent development and growth in the display market. To put it briefly, human factors linked to mobile 3D viewing should be taken into consideration before developing mobile 3D technology. Many studies have investigated whether mobile 3D viewing causes undesirable biomedical effects such as motion sickness and visual fatigue, but few have examined main factors adversely affecting human health. Viewing distance is considered one of the main factors to establish optimized viewing environments from a viewer's point of view. Thus, in an effort to determine human-friendly viewing environments, this study aims to investigate the effect of viewing distance on human visual system when exposing to mobile 3D environments. Recording and analyzing brainwaves before and after watching mobile 3D content, we explore how viewing distance affects viewing experience from physiological and psychological perspectives. Results obtained in this study are expected to provide viewing guidelines for viewers, help ensure viewers against undesirable 3D effects, and lead to make gradual progress towards a human-friendly mobile 3D viewing.

关键词： Autostereoscopic 3D visual fatigue cognitive fatigue mobile 3D viewing viewing distance

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Toward constructing a user-environment interface for a smart light-mobile wheelchair

Toward constructing a user-environment interface for a smart...

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IEEE/ASME (AIM) International conference on Advanced Intelligent Mechatronics

作者： Han-Yen Yu Jiann-Jone Chen Chung-Hsien Kuo Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan

Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve friendly interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed. The target of light mobility is achieved and the overall smart wheelchair system comprise: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture a user's facial image data. The physiological information sensor module is used for sensing at least one physiological data of the user. The analysis control module outputs a seamless monitoring signal to a caregiver side in response to the image data or the at least one physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.

关键词： Cameras Face Graphical user interfaces biomedical monitoring sensors Wheelchairs Monitoring

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Does glucose affect our vision? A preliminary study using smart glasses

Does glucose affect our vision? A preliminary study using sm...

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Data Science and Engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic conference on

作者： Natalia Piaseczna Rafał Doniec Szymon Sieciński Marcin Grzegorzek Ewaryst Tkacz Department of Biosensors and Processing of Biomedical Signals Faculty of Biomedical Engineering Silesian University of Technology 41-800 Zabrze Poland Institute of Medical Informatics University of Lübeck 23562 Lübeck Germany Fraunhofer IMTE Mönkhofer Weg 239a 23562 Lübeck Germany

In this study, we investigate the relationship between blood glucose levels and visual acuity during simulated driving using smart glasses and machine learning. We found compelling correlations between blood glucose levels and visual performance, with a classification accuracy of 98.70%. These results highlight the importance of blood glucose regulation for road safety and human well-being, and the potential of wearable sensor technology to advance our understanding of physiological influences on human performance.

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Design of a Multi-sensor Wearable physiological Parameters Monitoring System Using Machine Learning Algorithm

Design of a Multi-Sensor Wearable Physiological Parameters M...

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smart Electronics and Communication Systems (ISENSE), International conference on

作者： Aarthy Prabakaran Elizabeth Rufus School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (数字)9798331528126

ISBN: (纸本)9798331528133

An aging population and changing lifestyles have led to an increase in health problems, necessitating a robust and scalable medical system. A healthy society can be fostered by implementing a comprehensive health tracking system that enables early disease detection and continuous remote healthcare monitoring. This can be achieved by employing a wearable healthcare monitoring system, that can assist the medical sector in reducing hospitalizations and facilitating early diagnosis. To address this need, a Wearable physiological Monitoring System (W-PMS) is proposed in this study. A prototype has been developed with the capability to record electrocardiography (ECG), photoplethysmography (PPG), and body temperature, and calculate crucial vital parameters such as heart rate, saturation of peripheral oxygen (SpO2) level, and blood pressure (BP). The W-PMS comprises three sensor modules integrated with a microcontroller to collect the physiological data. The acquired physiological data are processed by the microcontroller to calculate certain parameters such as heart rate and SpO2 level. The acquired data are pushed to the cloud to estimate the BP through an indigenous Android application. The data transmission between the microcontroller and the application occurs via Bluetooth communication. The final results are visualized on a mobile device, enabling users to track their health status. In conclusion, wearable devices incorporating biomedical sensors have the potential to remotely monitor an individual's health condition.

关键词： Temperature measurement Temperature sensors Heart rate Microcontrollers Medical services Electrocardiography biomedical monitoring Wearable devices Monitoring Medical diagnostic imaging

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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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