SmartEEG: A multimodal tool for EEG signals

Ahmed, Syed Zahid; Bai, Yuhui; Dhif, Imen; Lambert, Laurent A.; Mhedhbi, Imen; Garda, Patrick; Granado, Bertrand; Hachicha, Khalil; Pinna, Andréa; Ghaffari, Fakhreddine; Histace, Aymeric; Romain, Olivier

doi:10.1109/ftfc.2014.6828622

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…One of the key advantages of the DWT based compression is that it provides a multi-resolution transform and gives analysis in spatial frequency and location. M odern image compression algorithms such as JPEG 2000 [1] uses DWT in contrast to the Discrete Cosine Transform (DCT) which is used in JPEG and provide better image quality and compression.…”

Section: Introductionmentioning

confidence: 99%

Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality

Ibraheem¹,

Hachicha²,

Ahmed³

et al. 2015

EAI Endorsed Trans Perv Health Tech

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This paper presents a novel study of logarithmic discrete wavelet transform (DWT) for medical image compression. It proposes a new technique to compute the DWT using the logarithmic number system (LNS) instead of floating point arithmetic. It investigates its impact on the image quality which is an essential factor for medical images to avoid any misdiagnose. The paper presents detailed experimental results for three medical images modalities: CT, MRI and X-Ray. The results show that the LNS approach gives a significant improvement in the image quality measured with the structural similarity index (SSIM ).

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Section: Introductionmentioning

confidence: 99%

Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality

Ibraheem¹,

Hachicha²,

Ahmed³

et al. 2015

EAI Endorsed Trans Perv Health Tech

Self Cite

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Medical images compression with clinical diagnostic quality using logarithmic DWT

Ibraheem¹,

Ahmed²,

Hachicha³

et al. 2016

2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

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Synchronizing physiological data and video in a telemedicine application: A multimedia approach

Lambert¹,

Hachicha²,

Ahmed³

et al. 2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-Several medical examinations require that multiple modalities of exams are stored in a synchronized manner. For instance, an EEG exam needs that several physiological signals along with video of the exam are acquired synchronously to aid the neurophysiologists to perform their diagnostics. Furthermore support for telemedicine for such exams have become important in recent years. The existing EDF standard that is used for physiological signals makes it difficult to provide integrated support of adding video and compressed component data, however due to widespread use of EDF standard in the domain, cross compatibility with EDF standard for physiological data is also essential. We present in this work a novel idea to solve these issues. Our approach uses standard multimedia containers in which physiological data are embedded alongside video and audio. This paper provides our analyses of the state of the art of multimedia containers EDF, AVI, ASF, MPEG and MKV and their potentials for a telemedicine application and outlines how MKV stands out as an interesting option in this regard, allowing also capability of compression of physiological data if needed.

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SmartEEG: A multimodal tool for EEG signals

Cited by 3 publications

References 6 publications

Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality

Logarithmic Discrete Wavelet Transform for Medical Image Compression with Diagnostic Quality

Medical images compression with clinical diagnostic quality using logarithmic DWT

Synchronizing physiological data and video in a telemedicine application: A multimedia approach

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