A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare

The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observatio...

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Main Authors: Raul Peña, Alfonso Ávila, David Muñoz, Juan Lavariega
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2015/514087
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spelling doaj-5b1ba77cd9364df9a92508b88e4d9ed92020-11-25T00:31:08ZengHindawi LimitedBioMed Research International2314-61332314-61412015-01-01201510.1155/2015/514087514087A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine HealthcareRaul Peña0Alfonso Ávila1David Muñoz2Juan Lavariega3Tecnológico de Monterrey, 64849 Monterrey, NL, MexicoTecnológico de Monterrey, 64849 Monterrey, NL, MexicoTecnológico de Monterrey, 64849 Monterrey, NL, MexicoTecnológico de Monterrey, 64849 Monterrey, NL, MexicoThe recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observations can also reduce the number of false positive incidents and expand the recognition coverage to abnormal health conditions. The synchronization between the video images and the physiological-signal waveforms is fundamental for the successful recognition of the clinical manifestations. The use of conventional equipment to synchronously acquire and display the video-waveform information involves complex tasks such as the video capture/compression, the acquisition/compression of each physiological signal, and the video-waveform synchronization based on timestamps. This paper introduces a data hiding technique capable of both enabling embedding channels and synchronously hiding samples of physiological signals into encoded video sequences. Our data hiding technique offers large data capacity and simplifies the complexity of the video-waveform acquisition and reproduction. The experimental results revealed successful embedding and full restoration of signal’s samples. Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of −2.6196% for high and medium motion video sequences.http://dx.doi.org/10.1155/2015/514087
collection DOAJ
language English
format Article
sources DOAJ
author Raul Peña
Alfonso Ávila
David Muñoz
Juan Lavariega
spellingShingle Raul Peña
Alfonso Ávila
David Muñoz
Juan Lavariega
A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
BioMed Research International
author_facet Raul Peña
Alfonso Ávila
David Muñoz
Juan Lavariega
author_sort Raul Peña
title A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
title_short A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
title_full A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
title_fullStr A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
title_full_unstemmed A Data Hiding Technique to Synchronously Embed Physiological Signals in H.264/AVC Encoded Video for Medicine Healthcare
title_sort data hiding technique to synchronously embed physiological signals in h.264/avc encoded video for medicine healthcare
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2015-01-01
description The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observations can also reduce the number of false positive incidents and expand the recognition coverage to abnormal health conditions. The synchronization between the video images and the physiological-signal waveforms is fundamental for the successful recognition of the clinical manifestations. The use of conventional equipment to synchronously acquire and display the video-waveform information involves complex tasks such as the video capture/compression, the acquisition/compression of each physiological signal, and the video-waveform synchronization based on timestamps. This paper introduces a data hiding technique capable of both enabling embedding channels and synchronously hiding samples of physiological signals into encoded video sequences. Our data hiding technique offers large data capacity and simplifies the complexity of the video-waveform acquisition and reproduction. The experimental results revealed successful embedding and full restoration of signal’s samples. Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of −2.6196% for high and medium motion video sequences.
url http://dx.doi.org/10.1155/2015/514087
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