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

Peña R, Ávila A, Muñoz D, Lavariega J - Biomed Res Int (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

A comparison between (a) conventional synchronization process and (b) our proposed approach.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: A comparison between (a) conventional synchronization process and (b) our proposed approach.

Mentions: This paper introduces an improved data hiding technique with a larger data-hiding capacity in the context of medical healthcare. Our data hiding technique synchronously embeds physiological-signal samples into H.264/AVC-encoded video sequences. The implementation of data hiding is simpler than other synchronization techniques. The data-hiding technique requires only one encoder to process video and signal's samples. Data hiding also offers the advantage of a unique communication channel for video-audio transmission and requires no complex tasks related to timestamps, synchronization marks, or multiplexing [4, 5]. Figure 1 illustrates a comparison between the commonly used synchronization processes and our synchronization approach based on data hiding. Other important advantage is that our technique is strongly related to trends in secure handling of medical data during signal transmission. Data hiding makes possible the secure transmission of patient's information over the internet. Important features for secure transmission of personal information are authentication, integrity, and confidentiality [6].


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

Peña R, Ávila A, Muñoz D, Lavariega J - Biomed Res Int (2015)

A comparison between (a) conventional synchronization process and (b) our proposed approach.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4561930&req=5

fig1: A comparison between (a) conventional synchronization process and (b) our proposed approach.
Mentions: This paper introduces an improved data hiding technique with a larger data-hiding capacity in the context of medical healthcare. Our data hiding technique synchronously embeds physiological-signal samples into H.264/AVC-encoded video sequences. The implementation of data hiding is simpler than other synchronization techniques. The data-hiding technique requires only one encoder to process video and signal's samples. Data hiding also offers the advantage of a unique communication channel for video-audio transmission and requires no complex tasks related to timestamps, synchronization marks, or multiplexing [4, 5]. Figure 1 illustrates a comparison between the commonly used synchronization processes and our synchronization approach based on data hiding. Other important advantage is that our technique is strongly related to trends in secure handling of medical data during signal transmission. Data hiding makes possible the secure transmission of patient's information over the internet. Important features for secure transmission of personal information are authentication, integrity, and confidentiality [6].

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Tecnológico de Monterrey, 64849 Monterrey, NL, Mexico.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus