RESUMO
Mobile healthcare, or m-health, is an evolutionary concept that provides both mobility and an 'always connected' healthcare functionality. The development of this concept depends on how best the available bandwidth in (HSDPA/HSUPA) and emerging (Mobile WiMAX) networks can be correlated with the relevant medical quality of services issues. In this paper we address and discuss some of these issues and challenges. We also provide an example of a bandwidth demanding application to verify such provision mechanisms.
Assuntos
Telefone Celular/normas , Redes de Comunicação de Computadores/normas , Atenção à Saúde/normas , Garantia da Qualidade dos Cuidados de Saúde , Telecomunicações/normas , Telemedicina/normas , Reino UnidoRESUMO
This paper presents some of the fragility issues of a medical video streaming over 802.11e-WLAN in m-health applications. In particular, we present a medical channel-adaptive fair allocation (MCAFA) scheme for enhanced QoS support for IEEE 802.11 (WLAN), as a modification for the standard 802.11e enhanced distributed coordination function (EDCF) is proposed for enhanced medical data performance. The medical channel-adaptive fair allocation (MCAFA) proposed extends the EDCF, by halving the contention window (CW) after zeta consecutive successful transmissions to reduce the collision probability when channel is busy. Simulation results show that MCAFA outperforms EDCF in-terms of overall performance relevant to the requirements of high throughput of medical data and video streaming traffic in 3G/WLAN wireless environments.
Assuntos
Filmes Cinematográficos , Gravação em Vídeo/métodos , Algoritmos , Redes de Comunicação de Computadores , Simulação por Computador , Computadores , Compressão de Dados , Sistemas de Informação Hospitalar , Humanos , Aumento da Imagem , Armazenamento e Recuperação da Informação , Internet , Modelos Teóricos , Probabilidade , Robótica , Software , TelecomunicaçõesRESUMO
Guaranteeing reconstruction quality in ECG lossy compression is essential to obtain signals useful from a clinical point of view. In this paper we discuss the advantages and drawbacks of using two very well known mathematical error measures (PRD and RMS) in order to guarantee quality in threshold wavelet compression codecs that work segmenting the signal into blocks. We use two different error indices to analyze the results: mathematical (RMS global error) and clinical (MOS error). Although mathematical results conclude that guaranteeing RMS is better than PRD, clinical results have shown that the election is subordinated to the signal specific morphology.