Design of a telemedicine system using a mobile telephone

Woodward, B.; Istepanian, R.S.H.; Richards, C.I.

doi:10.1109/4233.908361

Cited by 144 publications

(46 citation statements)

References 9 publications

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“…Szymanski, et al [12] examine QoS in mission-critical telerobotic. B. Woodward et al [13] design telemedicine system using mobile telephone. [14,15] Presented online smoothing algorithm.…”

Section: Introductionmentioning

confidence: 99%

Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

Hassan¹,

Li²

2013

ETSN

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In this paper we consider the transmission of stored video from a server to a client for medical applications such as, Tele-monitoring, to optimize medical quality of service (m-QoS) and to examine how the client buffer space can be used efficiently and effectively towards reducing the rate variability of the compressed variable bit rate (VBR) video. Three basic results are presented. First, we show how to obtain the greatest possible reduction in rate variability when sending stored video to client with a given buffer size. Second, how to reduce high peak data rate of compressed VBR video when a patient is moving/walking very fast in hospital. Third, we evaluate the impact of optimal smoothing algorithm on the network parameters such as, peak-to-mean ratio, standard deviation, delay, jitter, average delay and average jitter to optimize the m-QoS. To resolve these all problems we used optimal smoothing algorithm and show its performance over a set of long MPEG-4 encoded video traces. Simulation results show that m-QoS is optimized by minimizing network metrics.

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“…Szymanski, et al [12] examine QoS in mission-critical telerobotic. B. Woodward et al [13] design telemedicine system using mobile telephone. [14,15] Presented online smoothing algorithm.…”

Section: Introductionmentioning

confidence: 99%

Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

Hassan¹,

Li²

2013

ETSN

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“…Mobile healthcare applications is an evolving area within health informatics where recent advances in ubiquitous and mobile computing are exploited for the creation of new, flexible and effective medical services (Woodward et al 2001, Tachakra et al 2003, Varshney 2003. The area covers a wide range of healthcare applications and services where patients and/or healthcare workers are free to move around physically, while still connected to the service (for a review of systems, see e.g.…”

Section: Mobile Healthcare Applications and Lbssmentioning

confidence: 99%

GeoHealth: a location-based service for home healthcare workers

Kjeldskov

Christensen

Rasmussen

2010

Journal of Location Based Services

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We describe a map-based location-based service 'GeoHealth' for home healthcare workers who attend patients at home within a large geographical area. Informed by field studies of work activities and interviews with care providers, we have designed a mobile location-based service prototype supporting collaboration through information sharing and distributed electronic patient records. The GeoHealth prototype gives the users live contextual information about patients, coworkers, current and scheduled work activities and alarms adapted to their geographical location. The application is web-based and uses Google Maps, Global Positioning System (GPS) and Web 2.0 technology to provide a lightweight, dynamic and interactive representation of the work domain supporting distributed collaboration, communication and peripheral awareness among nomadic workers. Through a user-based evaluation, we found that the healthcare workers were positive towards the use of location-based services in their work, and that the dynamic and interactive geospatial representation of the work domain provided by GeoHealth supported distributed collaboration, communication and peripheral awareness. We also identified areas for improvements.

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“…In general, the design of the mobile telemedicine and tele-monitoring systems based on cellular networks was addressed in [1], [2]. Transmission of physiological signals, such as, electrocardiogram (ECG) and blood oxygen saturation (SpO2) by telecommunication means called Tele-monitoring, which is one of the telecommunication techniques that access delivery to healthcare services for people [2].…”

Section: Introductionmentioning

confidence: 99%

Dependable Medical Network Based on 2G and 3G Cellular Mobile Standards with External Channel Code in Concatenated Code Structure

Ahmed¹,

Kohno²

2014

IJCCE

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Abstract-This paper come as a proposal to enhance the error control coding in 2 nd generation (2G) and 3 rd generation (3G) for mobile communication to be capable to transmit the medical data by high level of reliability. The proposal bases on add extra code (convolution code) to the cellular mobile standard codes as concatenated channel code structure. The proposal transmits the medical data through this new channel that adopted as Medical Network Channel Code (MNCC) through mobile cellular networks. By this proposal we optimize the Bit Error Rate (BER) equal to the level of 10 -5 with low SNR level that is a requirement needed for transmission medical data. The performance of the proposal MNCC compared based on 2G and 3G cellular networks. The performance of the MNCC has been proven and investigated using computer simulations under different channels condition such as, Additive White Gaussian Noise (AWGN) and Rayleigh Fading.

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Design of a telemedicine system using a mobile telephone

Cited by 144 publications

References 9 publications

Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

GeoHealth: a location-based service for home healthcare workers

Dependable Medical Network Based on 2G and 3G Cellular Mobile Standards with External Channel Code in Concatenated Code Structure

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