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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

10th frame of neonatal video sequence. (a) Original image, (b) image using video original coding, and (c) image with EEG data.
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fig10: 10th frame of neonatal video sequence. (a) Original image, (b) image using video original coding, and (c) image with EEG data.

Mentions: The inspection of subject quality indicated minimum visual artifacts or distortion between original and data-hiding images. Figure 10 illustrates the perceptual quality of the video frames for the 10th frame of the neonatal sequence. Thus, data hiding generates no significant difference in quality from a human eye perception.


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)

10th frame of neonatal video sequence. (a) Original image, (b) image using video original coding, and (c) image with EEG data.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig10: 10th frame of neonatal video sequence. (a) Original image, (b) image using video original coding, and (c) image with EEG data.
Mentions: The inspection of subject quality indicated minimum visual artifacts or distortion between original and data-hiding images. Figure 10 illustrates the perceptual quality of the video frames for the 10th frame of the neonatal sequence. Thus, data hiding generates no significant difference in quality from a human eye perception.

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