scholarly journals A GML-Based Mobile Device Trace Monitoring System

Author(s):  
Eun-Ha Song ◽  
Sung-Kook Han ◽  
Laurence T. Yang ◽  
Minyi Guo ◽  
Young-Sik Jeong
2012 ◽  
Vol 3 (4) ◽  
pp. 22-39 ◽  
Author(s):  
Duck Hee Lee ◽  
Ahmed Fazle Rabbi ◽  
Noah Root ◽  
Reza Fazel-Rezai ◽  
Jaesoon Choi ◽  
...  

There have been major advances in research and development of devices for the diagnosis of patients in the medical field. A light and portable wireless system to monitor human physiological signals has been always a medical personnel’s dream. An e-health monitoring system is a widely used noninvasive diagnosis tool for an ambulatory patient who may be at risk from latent life threatening cardiac abnormalities. The authors proposed a high performance and intelligent wireless measuring e-health monitoring system for a mobile device that is characterized by the small sized and low power consumption. The hardware system consists of an one-chip microcontroller (Atmega 128L), a wireless module, and electrocardigram (ECG) signal preprocessing including filtering, power noise canceling, and level shifting. The software utilizes a recursive filter and preprocessing algorithm to detect ECG signal parameters, i.e., QRS-complex, Q-R-T points, HR, and QT-interval. To easily interface with a mobile device, an analyzer program operates on a Windows mobile OS. This paper described the system that was developed and successfully tested for a wireless transmission of ECG signals to a mobile device.


2016 ◽  
Vol 16 (6) ◽  
pp. 1508-1509 ◽  
Author(s):  
Zhenyang Ong ◽  
Wan-Young Chung

2017 ◽  
Vol 11 (3) ◽  
pp. 567-573 ◽  
Author(s):  
Mark Christiansen ◽  
Carmine Greene ◽  
Scott Pardo ◽  
Mary Ellen Warchal-Windham ◽  
Bern Harrison ◽  
...  

Author(s):  
Farid Sukmana ◽  
Fahrur Rozi

<p class="Abstract">Internet of Things is one concept in technology 4.0, this technology combine of two component, that is internet and mechine. Internet use to send signal from mechine to second device like mobilephone or from the mobilephone to mechine to execution task. Information Technnology infrastructure in industrial company has many complexity in network, hardware, or software. Especially for hardware like desktop computer or laptop, ech employee has one of them. And many of them, sometime forget to shutdown they computer or they has purpose did not shutdown they computer just for download the big file. Indirectly, the computer that run more than 24 hours in industrial company, it will be degrade service of life, and the consumption of electricity need the high cost. In this paper, our purpose is how to reduce computer that not needed run 24 hours can be monitor and can be shutdown in the out of company area. This is need concept of internet of things and digitalitation to make it. For this problem can be used monitoring system by mobile application, this system will be show about the host computer still be on, and can be remote shutdown with mobile device. This application use cordova to build it and the command from mobile be send to server to shutdown computer that still online. </p>


Agriculture is the main source of Indian economy. 16 % of total GDP is depends on agriculture. So, maintaining a proper environment for storing the food grains is important. The food grains are stored in the silos. It is required a automated system which is used for monitoring the quality attributes of agricultural and food products. For increasing the productivity the food industry uses pests which affects the health of the consumers. Here a sensor based monitoring system which maintains the temperature, humidity and a co2 sensor is used to detect the presence of the insects and ultrasonic sensor keeps away the insects from the food grains and also avoids the usage of pests. The information is stored in the cloud and is passed to the mobile device of the silos incharge.


2017 ◽  
Vol 11 (4) ◽  
pp. 736-743 ◽  
Author(s):  
Timothy S. Bailey ◽  
Jane F. Wallace ◽  
Scott Pardo ◽  
Mary Ellen Warchal-Windham ◽  
Bern Harrison ◽  
...  

Background: The new Contour®Plus ONE blood glucose monitoring system (BGMS) features an easy-to-use, wireless-enabled blood glucose meter that links to a smart mobile device via Bluetooth® connectivity and can sync with the Contour™ Diabetes app on a smartphone or tablet. Methods: The accuracy of the new BGMS was assessed in 2 studies according to ISO 15197:2013 criteria. In Study 1 (laboratory study), fingertip capillary blood samples from 100 subjects were tested in duplicate using 3 test strip lots. In Study 2 (clinical study), 134 subjects with type 1 or type 2 diabetes enrolled at 2 clinical sites. BGMS results and YSI analyzer (YSI) reference results were compared for fingertip blood obtained by untrained subjects’ self-testing and for study staff–obtained fingertip, subject palm, and venous results. Results: In Study 1, 99.0% (594/600) of combined results for all 3 test strip lots fulfilled ISO 15197:2013 Section 6.3 accuracy criteria. In Study 2, 99.2% (133/134) of subject-obtained capillary fingertip results, 99.2% (133/134) of study staff–obtained fingertip results, 99.2% (125/126) of subject-obtained palm results, and 100% (132/132) of study staff–obtained venous results met ISO 15197:2013 Section 8 accuracy criteria. Moreover, 95.5% (128/134) of subject-obtained fingertip self-test results were within ±10 mg/dl (±0.6 mmol/L) or ±10% of the YSI reference result. Questionnaire results showed that most subjects found the BGMS easy to use. Conclusions: The BGMS exceeded ISO 15197:2013 accuracy criteria both in the laboratory and in a clinical setting when used by untrained subjects with diabetes.


2020 ◽  
Author(s):  
Caroline Mazetto Mendes ◽  
Verônica Isabela Quandt ◽  
Elisângela Aparecida Dias ◽  
Leonardo Sant’Anna Mariani

Due to medical advances, life expectancy is getting longer andlonger. Consequently the elderly population is growing and newchallenges will be faced in the coming decades. In this context, thispaper presents the development of a monitoring system for theelderly. The system includes a wearable device to detect falls, apanic button to be activated if the user feels unwell, and a speakerthat beeps when medication is required. If the wearable deviceidentifies a fall or detects panic button activation, an alert messageis automatically sent to the mobile device of the responsible for theelderly. The expected result of this project is to efficiently monitorthe elderly and to promote the quality of life and safety for elderlyover 60 years.


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