A watermarking algorithm for polysomnography data.
A blind watermarking algorithm for polysomnography (PSG) data in European Data Format (EDF) has been developed for the identification and attribution of shared data. This is accomplished by hiding a unique identifier in the phase spectrum of each PSG epoch using an undisclosed key so that a third party cannot retrieve the watermark without knowledge of the key. A pattern discovery algorithm is developed to find the watermark pattern even though the data may have been altered. The method is evaluated using 25 PSG studies from the Sleep Heart Health Study database. The integrity of the signal data was determined using time series measures of both the original and watermarked signals, and by determining its effect on scoring sleep stages from the PSG data. The results of the analysis indicate that the proposed watermarking method for PSG data is an effective and efficient way to identify shared data without compromising its intended use.
Jamasebi
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Electrical Engineering and Computer Science Department, Case Western Reserve University, Cleveland, OH 44106 USA. rezaj@case.edu
Johnson
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Kaffashi
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Redline
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Loparo
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D000465:Algorithms; D016494:Computer Security; D003219:Confidentiality; D044962:Data Compression / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized; D009820:Ohio; D017286:Polysomnography / Q000379:methods*; D012815:Signal Processing, Computer-Assisted