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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

Sample extraction during the decoding process.
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Related In: Results  -  Collection


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fig5: Sample extraction during the decoding process.

Mentions: Our data hiding technique extracts the samples of the EEG signal; at the same time, conventional video H.264/AVC decoding process takes place. This is an important feature at the time to do synchronized playback of both video and physiological-signal waveforms. The sample extraction algorithm in our technique catches and gathers sample data. This extraction algorithm, illustrated in Figure 5, is repeated as many times as needed to extract all the samples embedded in the video sequence. To do this, our data hiding technique interacts with the H.264/AVC decoding process.


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)

Sample extraction during the decoding process.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig5: Sample extraction during the decoding process.
Mentions: Our data hiding technique extracts the samples of the EEG signal; at the same time, conventional video H.264/AVC decoding process takes place. This is an important feature at the time to do synchronized playback of both video and physiological-signal waveforms. The sample extraction algorithm in our technique catches and gathers sample data. This extraction algorithm, illustrated in Figure 5, is repeated as many times as needed to extract all the samples embedded in the video sequence. To do this, our data hiding technique interacts with the H.264/AVC decoding process.

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