A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings
ECGs objectively reflects the working conditions of the hearts as these signals contain vast physiological and pathological information. In this work, in order to improve the efficiency and accuracy of "best so far" time series analysis-based ECG anomaly detection methods, a novel method, comprising a modified dynamic time warping (MDTW) and an innovative average non-self match distance (ANSD) measure, is proposed for ECG anomaly detection. To evaluate the performance of the proposed method, the proposed method is applied to real ECG data selected from the MIT-BIH heartbeat database. To provide a reference for comparison, two existing anomaly detection methods, namely, brute force discord discovery (BFDD) and adaptive window discord discovery (AWDD), are also applied to the same data. The experimental results show that our proposed method outperforms BFDD and AWD.
Code (0)
등록된 구현이 없습니다.
Tasks
Anomaly DetectionDynamic Time WarpingTime SeriesTime Series AnalysisSimilar Papers 제목 키워드 기반
mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization
In this proof of concept, we use Computer Vision (CV) methods to extract pose information out of exercise videos. We then employ a modified version of Dynamic Time Warping (DTW) to calculate the deviation from a gold sta…
Dynamic Time WarpingNear Real-Time Data Labeling Using a Depth Sensor for EMG Based Prosthetic Arms
Recognizing sEMG (Surface Electromyography) signals belonging to a particular action (e.g., lateral arm raise) automatically is a challenging task as EMG signals themselves have a lot of variation even for the same actio…
Dynamic Time WarpingFeature Trajectory Dynamic Time Warping for Clustering of Speech Segments
Dynamic time warping (DTW) can be used to compute the similarity between two sequences of generally differing length. We propose a modification to DTW that performs individual and independent pairwise alignment of featur…
ClusteringDynamic Time WarpingAccurate shape and phase averaging of time series through Dynamic Time Warping
We propose a novel time series averaging method based on Dynamic Time Warping (DTW). In contrast to previous methods, our algorithm preserves durational information and the distinctive durational features of the sequence…
Dynamic Time WarpingTime SeriesTime Series AnalysisTime Series AveragingImproved Dynamic Time Warping (DTW) Approach for Online Signature Verification
Online signature verification is the process of verifying time series signature data which is generally obtained from the tablet-based device. Unlike offline signature images, the online signature image data consists of …
Dynamic Time WarpingTime SeriesTime Series Analysis