Digital signal preservation approaches of archived biomedical paper records — A review

While the biomedical records are available in digital form in some areas, huge amounts of paper-based health records are still generated on a daily basis. This data used to store for decades but is of no benefit for research organizations, as the paper-based health records cannot be efficiently utilized for clinical studies. Also, the recorded and stored medical records may get blurred, damaged or affected by different factors such as changing weather conditions. This paper presents the types of biomedical signals plotted on graph papers. It also reports needs and requirements for digitization of biomedical paper records. This review aims to encompass the digital signal preservation approaches employed for archived biomedical paper records. The digitized signals can be of great help to physicians for reducing human errors in the diagnosis and to research organizations for various retrospective studies.

[1]  J. Chebil,et al.  A novel method for digitizing standard ECG papers , 2008, 2008 International Conference on Computer and Communication Engineering.

[2]  Srinivasan Jayaraman,et al.  An improved method for digital time series signal generation from scanned ECG records , 2010, 2010 International Conference on Bioinformatics and Biomedical Technology.

[3]  Rafael Dueire Lins,et al.  Converting ECG and Other Paper Legated Biomedical Maps into Digital Signals , 2007, GREC.

[4]  Hong Zhang,et al.  One-Dimensional Signal Extraction Of Paper-Written ECG Image And Its Archiving , 1987, Other Conferences.

[5]  R. Ruiz-Granell,et al.  A method capable of digitising every type of biosignal paper recordings as a tool for database improvement , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[6]  Yan Solihin,et al.  Noise and background removal from handwriting images , 1997, Proceedings Intelligent Information Systems. IIS'97.

[7]  Lakshminarayan Ravichandran,et al.  Novel Tool for Complete Digitization of Paper Electrocardiography Data , 2013, IEEE Journal of Translational Engineering in Health and Medicine.

[8]  Hiroshi Kawakami,et al.  Morphological preprocessing method to thresholding degraded word images , 2009, Pattern Recognit. Lett..

[9]  Khairul Munadi,et al.  Noise characterization in ancient document images based on DCT coefficient distribution , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[10]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[11]  Tanju Erdem,et al.  ECGScan: a method for conversion of paper electrocardiographic printouts to digital electrocardiographic files. , 2005, Journal of electrocardiology.

[12]  Jamshid Shanbehzadeh,et al.  Document Image Noises and Removal Methods , 2013 .

[13]  Gang Zheng,et al.  ECG waveform data extraction from paper ECG recordings by K-means method , 2011, 2011 Computing in Cardiology.

[14]  Erkki Oja,et al.  A new curve detection method: Randomized Hough transform (RHT) , 1990, Pattern Recognit. Lett..

[15]  TW Shen,et al.  Image processing on ECG chart for ECG signal recovery , 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

[16]  Wichian Premchaiswadi,et al.  A scheme for salt and pepper noise reduction and its application for OCR systems , 2010 .

[17]  Samee Ullah Khan,et al.  > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 , 2008 .

[18]  Efstathios Stamatatos,et al.  Improving the quality of degraded document images , 2006, Second International Conference on Document Image Analysis for Libraries (DIAL'06).

[19]  Alireza Zali,et al.  Developing a Bedside Software for Digitizing Paper Based Medical Data in Intensive Care Settings , 2011 .

[20]  Srinivasan Jayaraman,et al.  A Novel Technique for ECG Morphology Interpretation and Arrhythmia Detection Based on Time Series Signal Extracted from Scanned ECG Record , 2012 .

[21]  Sukanya Phongsuphap,et al.  Marginal noise removal for scanned document images by projection profile based method , 2013, The 2013 10th International Joint Conference on Computer Science and Software Engineering (JCSSE).

[22]  김정연,et al.  서브블록 히스토그램 등화기법을 이용한 개선된 콘트래스트 강화 알고리즘 ( An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization ) , 1999 .