Application of the Max-Lloyd quantizer for ECG compression in diving mammals
نویسندگان
چکیده
This article presents a practical implementation of an ECG compression algorithm using a Max-Lloyd quantizer, to optimize the low resources of an ECG acquisition and transmission system (telemetry system) for dolphins and human divers. The algorithm scheme is based on a first-order differential pulse code modulation (DPCM) and uses a Max-Lloyd quantizer to code the difference between the current and predicted samples. The use of the non-uniform quantizer instead of a uniform quantizer improves the percent root mean-square difference (PRD), thereby producing a low distortion in the reconstructed signals. Due to its low computational complexity, the compression process can be accomplished on-line during the ECG acquisition process.
منابع مشابه
Quality-Controlled Compression Method using Wavelet Transform for Electrocardiogram Signals
This paper presents a new Quality-Controlled, wavelet based, compression method for electrocardiogram (ECG) signals. Initially, an ECG signal is decomposed using the wavelet transform. Then, the resulting coefficients are iteratively thresholded to guarantee that a predefined goal percent root mean square difference (GPRD) is matched within tolerable boundaries. The quantization strategy of ext...
متن کاملAdaptive quantization using piecewise companding and scaling for Gaussian mixture
Quantization is fundamental to analog-to-digital converter (ADC) and signal compression. In this paper, we propose an adaptive quantizer with piecewise companding and scaling for signals of Gaussian mixture model (GMM). Our adaptive quantizer operates under three modes, each of which corresponds to different types of GMM. Moreover, we propose a reconfigurable architecture to implement our adapt...
متن کاملSimple Compression Algorithm for Memoryless Laplacian Source Based on the Optimal Companding Technique
This paper has two achievements. The first aim of this paper is optimization of the lossy compression coder realized as companding quantizer with optimal compression law. This optimization is achieved by optimizing maximal amplitude for that optimal companding quantizer for Laplacian source. Approximate expression in closed form for optimal maximal amplitude is found. Although this expression i...
متن کاملAdaptive Scalar Quantization Without Side Information - Image Processing, IEEE Transactions on
In this paper, we introduce a novel technique for adaptive scalar quantization. Adaptivity is useful in applications, including image compression, where the statistics of the source are either not known a priori or will change over time. Our algorithm uses previously quantized samples to estimate the distribution of the source, and does not require that side information be sent in order to adap...
متن کاملCompression of Finite Duration Ecg Signals Based on Wavelet Transform
An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular time-frequency components. Some of the components are removed because of their low influence to signal shape due to nonstationary character of ECG. Resulted components are...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computer methods and programs in biomedicine
دوره 73 1 شماره
صفحات -
تاریخ انتشار 2004