LSTM-based auto-encoder model for ECG arrhythmias classification
This paper introduces a novel deep learning-based algorithm that integrates a long short-
term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) …
term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) …
[PDF][PDF] A review of ECG data compression techniques
Electrocardiogram (ECG) data compression reduced the storage requirements to develop a
more efficient telecardiology system for cardiac analysis and diagnosis. The ECG …
more efficient telecardiology system for cardiac analysis and diagnosis. The ECG …
Empirical mode decomposition and wavelet transform based ECG data compression scheme
CK Jha, MH Kolekar - Irbm, 2021 - Elsevier
Objective In health-care systems, compression is an essential tool to solve the storage and
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …
transmission problems. In this regard, this paper reports a new electrocardiogram (ECG) …
Fast QRS detection and ECG compression based on signal structural analysis
A Burguera - IEEE journal of biomedical and health informatics, 2018 - ieeexplore.ieee.org
Objective: This paper presents a fast approach to detect QRS complexes based on a simple
analysis of the temporal ECG structure. Methods: The ECG is processed through several …
analysis of the temporal ECG structure. Methods: The ECG is processed through several …
Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform
CK Jha, MH Kolekar - Biomedical Signal Processing and Control, 2018 - Elsevier
This paper reports a novel electrocardiogram (ECG) data compression algorithm which
employs DCT based discrete orthogonal Stockwell transform. Dead-zone quantization is …
employs DCT based discrete orthogonal Stockwell transform. Dead-zone quantization is …
A novel compressive sampling method for ECG wearable measurement systems
The paper presents a novel method for the compressed acquisition of electrocardiographic
(ECG) signals. The proposed method is intended to be applied to Internet-of-Medical-Things …
(ECG) signals. The proposed method is intended to be applied to Internet-of-Medical-Things …
Heart rate monitoring and therapeutic devices: a wavelet transform based approach for the modeling and classification of congestive heart failure
Heart rate monitoring and therapeutic devices include real-time sensing capabilities
reflecting the state of the heart. Current circuitry can be interpreted as a cardiac electrical …
reflecting the state of the heart. Current circuitry can be interpreted as a cardiac electrical …
A lossless compression and encryption mechanism for remote monitoring of ECG data using Huffman coding and CBC-AES
Biomedical signal processing provides a cross-disciplinary international forum through
which research on signal and images measurement and analysis of clinical medicine and …
which research on signal and images measurement and analysis of clinical medicine and …
Quality controlled ECG data compression based on 2D discrete cosine coefficient filtering and iterative JPEG2000 encoding
This paper presents a quality controlled reconstruction of ECG signal by the formulation of
2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme …
2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme …
ECG data compression using modified run length encoding of wavelet coefficients for holter monitoring
Objective In cardiac patient-care, compression of long-term ECG data is essential to
minimize the data storage requirement and transmission cost. Hence, this paper presents a …
minimize the data storage requirement and transmission cost. Hence, this paper presents a …