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Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements

Title
Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements
Authors
Lee, J[Lee, Jaeseok]Kim, K[Kim, Kyungsoo]Choi, JW[Choi, Ji-Woong]
DGIST Authors
Lee, J[Lee, Jaeseok]; Kim, K[Kim, Kyungsoo]; Choi, JW[Choi, Ji-Woong]
Issue Date
2017-01
Citation
Sensors, 17(1)
Type
Article
Article Type
Article
Keywords
Biomedical Signal ProcessingCompressed SensingCost FunctionsElectrocardiogram (ECG)Electrocardiogram (ECG) SensorsElectrocardiographyLow Power ImplementationMatrix AlgebraOptimal SolutionsReal-Time ImplementationsReal Time ControlRecoveryRestricted Isometry Properties (RIP)Signal ProcessingSignal ReconstructionSparse Signal ReconstructionSparse Signal RecoveriesSparse Signal RecoveryTree Pruning
ISSN
1424-8220
Abstract
Due to the necessity of the low-power implementation of newly-developed electrocardiogram (ECG) sensors, exact ECG data reconstruction from the compressed measurements has received much attention in recent years. Our interest lies in improving the compression ratio (CR), as well as the ECG reconstruction performance of the sparse signal recovery. To this end, we propose a sparse signal reconstruction method by pruning-based tree search, which attempts to choose the globally-optimal solution by minimizing the cost function. In order to achieve low complexity for the real-time implementation, we employ a novel pruning strategy to avoid exhaustive tree search. Through the restricted isometry property (RIP)-based analysis, we show that the exact recovery condition of our approach is more relaxed than any of the existing methods. Through the simulations, we demonstrate that the proposed approach outperforms the existing sparse recovery methods for ECG reconstruction. © 2017 by the authors; licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/2058
DOI
10.3390/s17010105
Publisher
MDPI AG
Related Researcher
  • Author Choi, Ji Woong CSP(Communication and Signal Processing) Lab
  • Research Interests Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
Files:
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Collection:
Information and Communication EngineeringCSP(Communication and Signal Processing) Lab1. Journal Articles


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