Implementation of An Effective ECG Compression Algorithm on the Android Embedded Platform Combined with the Telemedicine Applications

• Main Authors: Chien-ShengLan, 藍健升
• Other Authors: Sheau-Fang Lei
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/48033927057333893659

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 100 === In this thesis, we present an idea that combine an effective electrocardiogram (ECG) data compression algorithm with the telemedicine in order to save storage space and reduce transmission time. Different from literatures, we take type IV discrete cosine transform (DCT-IV) as the kernel function which belongs to the lossy compression. Due to the sign bit of the DCT-IV coefficients have regular characteristic and the correlation of the DCT-IV spectrum values are closed to each other after quantization, we then use differential technique reducing the dynamic range and increasing the probability in some numeric. After the differential processing, Huffman coding is chosen to increase the compression rate. We also take MIT-BIH Arrhythmia Database as the input pattern which contains 48 two-lead recordings, the result show that compress ratio (CR) is 5.26 and the Percent Root mean square Difference (PRD) is 0.19. In addition, we measure the ECG signal from our ECG read-out circuit as the test pattern, the result show that CR is 4.79 and the PRD is 0.22. Furthermore, we integrate ECG read-out circuit and implement algorithm on the embedded development board, porting on the Android platform. Users can operate the user interface (UI) to view ECG signal and heart rate variability (HRV) analysis.