{"title":"Back Matter","authors":"","doi":"10.1049/pbhe023e_bm","DOIUrl":"https://doi.org/10.1049/pbhe023e_bm","url":null,"abstract":"","PeriodicalId":119158,"journal":{"name":"Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116930694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hoger Mahmud, M. Mohammadi, Nabeel Ali Khan, Tarik Ahmed Rashid, Nawzad K. Al-Salihi, Rebaz Mohammed Dler Omer, Joan Lu
Providing healthcare is a multidisciplinary effort where Information plays a lifesaving role. Advances in health technologies have diversified the sources of information that can be analyzed and used for correct diagnostics and decision-making. Researchers and system developers in the field of telemedicine are consciously inventing and improving data generation, collection, and processing methods with a view to improving the quality of care and possibly reduce cost and effort need in providing care. Bringing newly developed technologies specific to information processing to the attention of healthcare providers (individuals or healthcare institutes) is vitally important to improve the quality of care. With this in mind, in this chapter the authors explain the importance of a number of health indicators that can be measured for data collection purposes such as temperature, heart rate, blood pressure, and respiration rate. This chapter also presents several latest technologies that capture data and process it to produce meaningful and visual information that can be used for diagnostics and treatment purposes such as X-ray, computerized tomography (CT) scan, magnetic resonance imaging (MRI) and ultrasound. The chapter highlights the importance of data mining techniques in retrieving the required information from an information-pool in providing the right healthcare. The authors emphasize the fact that retrieving the required information may not be enough to provide the right healthcare service since the retrieved information needs to be interpreted by healthcare professionals to resolve a healthcare case.
{"title":"Technologies in medical information processing","authors":"Hoger Mahmud, M. Mohammadi, Nabeel Ali Khan, Tarik Ahmed Rashid, Nawzad K. Al-Salihi, Rebaz Mohammed Dler Omer, Joan Lu","doi":"10.1049/pbhe023e_ch3","DOIUrl":"https://doi.org/10.1049/pbhe023e_ch3","url":null,"abstract":"Providing healthcare is a multidisciplinary effort where Information plays a lifesaving role. Advances in health technologies have diversified the sources of information that can be analyzed and used for correct diagnostics and decision-making. Researchers and system developers in the field of telemedicine are consciously inventing and improving data generation, collection, and processing methods with a view to improving the quality of care and possibly reduce cost and effort need in providing care. Bringing newly developed technologies specific to information processing to the attention of healthcare providers (individuals or healthcare institutes) is vitally important to improve the quality of care. With this in mind, in this chapter the authors explain the importance of a number of health indicators that can be measured for data collection purposes such as temperature, heart rate, blood pressure, and respiration rate. This chapter also presents several latest technologies that capture data and process it to produce meaningful and visual information that can be used for diagnostics and treatment purposes such as X-ray, computerized tomography (CT) scan, magnetic resonance imaging (MRI) and ultrasound. The chapter highlights the importance of data mining techniques in retrieving the required information from an information-pool in providing the right healthcare. The authors emphasize the fact that retrieving the required information may not be enough to provide the right healthcare service since the retrieved information needs to be interpreted by healthcare professionals to resolve a healthcare case.","PeriodicalId":119158,"journal":{"name":"Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122412698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shaymaa Al-Juboori, Is-Haka Mkwawa, Lingfen Sun, E. Ifeachor
Tone-mapping-operators (TMOs) provide a useful means for converting high dynamic range (HDR) images to low dynamic range (LDR) images so that they can be viewed on standard displays, but this may influence the visual quality of experience (QoE) of the end-user. There is a need to understand the impact of TMOs to inform the choice of TMO algorithms for different displays, especially for small-screen-devices (SSDs) such as those used in mobile phones. This is important, as mobile devices are becoming the primary means of consuming multimedia contents. However, few studies have been undertaken to assess the impact of TMOs and viewing devices (especially SSDs) on the visual QoE of the user when using. In this chapter, we evaluate subjectively and objectively, the commonly used TMOs in different displays and resolutions for colour and grey-scale HDR images. Our results show that viewing devices have an influence on the TMOs performance, suggesting the need for a careful choice of TMO to enhance the viewing-QoE of the end-user. As expected, the higher resolution, the better HDR-image quality. Surprisingly, there was no significant difference between the Mean of Opinion Score (MOS) scores for colour and grey-scale images in SSDs. The device and TMOs affect QoE for colour and grey HDR-image equally. We found Shannon entropy (SE) to be a good objective measure of quality for colour and grey HDR images, suggesting that entropy may find use in automated HDR quality control assessment schemes, while; HDR-VDP-2 is a good objective measure for colour HDR image only.
{"title":"Impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images","authors":"Shaymaa Al-Juboori, Is-Haka Mkwawa, Lingfen Sun, E. Ifeachor","doi":"10.1049/pbhe023e_ch10","DOIUrl":"https://doi.org/10.1049/pbhe023e_ch10","url":null,"abstract":"Tone-mapping-operators (TMOs) provide a useful means for converting high dynamic range (HDR) images to low dynamic range (LDR) images so that they can be viewed on standard displays, but this may influence the visual quality of experience (QoE) of the end-user. There is a need to understand the impact of TMOs to inform the choice of TMO algorithms for different displays, especially for small-screen-devices (SSDs) such as those used in mobile phones. This is important, as mobile devices are becoming the primary means of consuming multimedia contents. However, few studies have been undertaken to assess the impact of TMOs and viewing devices (especially SSDs) on the visual QoE of the user when using. In this chapter, we evaluate subjectively and objectively, the commonly used TMOs in different displays and resolutions for colour and grey-scale HDR images. Our results show that viewing devices have an influence on the TMOs performance, suggesting the need for a careful choice of TMO to enhance the viewing-QoE of the end-user. As expected, the higher resolution, the better HDR-image quality. Surprisingly, there was no significant difference between the Mean of Opinion Score (MOS) scores for colour and grey-scale images in SSDs. The device and TMOs affect QoE for colour and grey HDR-image equally. We found Shannon entropy (SE) to be a good objective measure of quality for colour and grey HDR images, suggesting that entropy may find use in automated HDR quality control assessment schemes, while; HDR-VDP-2 is a good objective measure for colour HDR image only.","PeriodicalId":119158,"journal":{"name":"Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications","volume":"10 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141209897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conclusion","authors":"","doi":"10.1049/pbhe023e_ch14","DOIUrl":"https://doi.org/10.1049/pbhe023e_ch14","url":null,"abstract":"","PeriodicalId":119158,"journal":{"name":"Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127975169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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