An open architecture patient monitoring system using standard technologies

Varady, P.; Benyo, Z.; Benyó, Balázs

doi:10.1109/4233.992168

Cited by 79 publications

(37 citation statements)

References 3 publications

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“…Here ADC0816 8-Bit μP Compatible A/D Converters with 16-Channel Multiplexer is used. This ADC having 8bit resolution with Conversion Time is 100 μs [15].…”

Section: Acquisition Unitmentioning

confidence: 99%

“…The features of LM35D is linear + 10.0 mV/°C scale factor (i.e. for every 1ºC change it will represents in 10mv variation) [15]. Other two body parameters Blood pressure and Heart beat are simulates by Square Trimming Potentiometer (3296 W -1 -103).…”

Section: B System Architecturementioning

confidence: 99%

“…The Board contain system, Atmel™ AT89S8252 microcontroller unit (MCU), it's an 8-bit microcontroller with several on-chip peripherals and modules [14]. Our system main required features are, MCU has 8K Bytes of In-System Reprogrammable Downloadable Flash Memory, 2K Bytes EEPROM, 256 x 8-bit Internal RAM Low-power Idle, Power-down Modes and it supports programmable clock out and serial communication [15].…”

Section: Acquisition Unitmentioning

confidence: 99%

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Health Monitoring and Logging System for Patients using Wireless Standalone Network

Kumar¹,

T.V²,

N.A³

2017

IJARCSSE

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Abstract-Telemedicine (health-care delivery where physicians examine distant patients using mobile communications technologies) has been heralded as one of several possible solutions to some of the medical dilemmas that face many developing countries. In this paper, we propose a wireless stand-alone novel approach to patient health monitoring. The embedded system designed integrates the monitoring of three biomedical parameters into a single personal medical device. The three parameters are: body temperature, blood pressure and heart rate. The goal of this work is to build a compact and cost-effective monitoring system. The device is developed and implemented based on the existing industry standard communication network and patient monitoring software, application are developed to store data that can be used for real time monitoring and later downloaded to a physician's workstation for analysis and diagnosis. It specifically targets assisted-living residents and others who may be benefited from continuous remote health monitoring and decision support system.

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“…Here ADC0816 8-Bit μP Compatible A/D Converters with 16-Channel Multiplexer is used. This ADC having 8bit resolution with Conversion Time is 100 μs [15].…”

Section: Acquisition Unitmentioning

confidence: 99%

Section: B System Architecturementioning

confidence: 99%

Section: Acquisition Unitmentioning

confidence: 99%

See 1 more Smart Citation

Health Monitoring and Logging System for Patients using Wireless Standalone Network

Kumar¹,

T.V²,

N.A³

2017

IJARCSSE

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“…The use of wireless sensors in invasive and continuous health-monitoring systems was presented by [6]. An implementation of bedside patient monitoring was developed by [7], while [8] implemented a WAPbased telemedicine system. A comprehensive list of recently proposed routing protocols is presented by [9], and routing algorithms used in WSNs were classified as data-centric, hierarchical, and location-based.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Scheme for M2M-Based Patient Monitoring in Ubiquitous Healthcare Domain

Jung

Ahn

Hwang

et al. 2012

International Journal of Distributed Sensor Networks

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In ubiquitous healthcare systems, machine-to-machine (M2M) communication promises large opportunities as it utilizes rapidly developing technologies of large-scale networking of devices for patient monitoring without dependence on human interaction. With the emergence of wireless multimedia sensor networks (WMSNs), M2M communications improve continuous monitoring and transmission and retrieval of multimedia content such as video and audio streams, images, and sensor data from the patient being monitored. This research deploys WMSN for continuous monitoring of target patients and reports tracking for preventive ubiquitous healthcare. This study performs optimization scheme movement coordination technique and data routing within the monitored area. A movement tracking algorithm is proposed for better patient tracking techniques and aids in optimal deployment of wireless sensor networks. Results show that our optimization scheme is capable of providing scalable and reliable patient monitoring results.

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“…[4,13]). Our main goal is to provide synthetic but realistic test data for clustering algorithm designed to process large-scale protein sequence data sets.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Test Data Generation for Hierarchical Graph Clustering Methods

Szilágyi

Kovács

Szilágyi

2014

Neural Information Processing

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Abstract. Recent achievements in graph-based clustering algorithms revealed the need for large-scale test data sets. This paper introduces a procedure that can provide synthetic but realistic test data to the hierarchical Markov clustering algorithm. Being created according to the structure and properties of the SCOP95 protein sequence data set, the synthetic data act as a collection of proteins organized in a four-level hierarchy and a similarity matrix containing pairwise similarity values of the proteins. An ultimate high-speed TRIBE-MCL algorithm was employed to validate the synthetic data. Generated data sets have a healthy amount of variability due to the randomness in the processing, and are suitable for testing graph-based clustering algorithms on large-scale data.

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An open architecture patient monitoring system using standard technologies

Cited by 79 publications

References 3 publications

Health Monitoring and Logging System for Patients using Wireless Standalone Network

Health Monitoring and Logging System for Patients using Wireless Standalone Network

An Optimization Scheme for M2M-Based Patient Monitoring in Ubiquitous Healthcare Domain

Synthetic Test Data Generation for Hierarchical Graph Clustering Methods

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