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Iqbal U, Almakki R, Usman M, Altameem A, Albathan M, Jilani AK. Methodological identification of anomalies episodes in ECG streams: a systematic mapping study. BMC Med Res Methodol 2024; 24:127. [PMID: 38834955 DOI: 10.1186/s12874-024-02251-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 05/20/2024] [Indexed: 06/06/2024] Open
Abstract
An electrocardiogram is a medical examination tool for measuring different patterns of heart blood flow circle either in the form of usual or non-invasive patterns. These patterns are useful for the identification of morbidity condition of the heart especially in certain conditions of heart abnormality and arrhythmia. Myocardial infarction (MI) is one of them that happened due to sudden blockage of blood by the cause of malfunction of heart. In electrocardiography (ECG) intensity of MI is highlighted on the basis of unusual patterns of T wave changes. Various studies have contributed for MI through T wave's classification, but more to the point of T wave has always attracted the ECG researchers. Methodology. This Study is primarily designed for proposing the combination of latest methods that are worked for the solutions of pre-defined research questions. Such solutions are designed in the form of the systematic review process (SLR) by following the Kitchen ham guidance. The literature survey is a two phase's process, at first phase collect the articles that were published in IEEE Xplore, Scopus, science direct and Springer from 2008 to 2023. It consist of steps; the first level is executed by filtrating the articles on the basis of keyword phase of title and abstract filter. Similarly, at two level the manuscripts are scanned through filter of eligibility criteria of articles selection. The last level belongs to the quality assessment of articles, in such level articles are rectified through evaluation of domain experts. Results. Finally, the selected articles are addressed with research questions and briefly discuss these selected state-of-the-art methods that are worked for the T wave classification. These address units behave as solutions to research problems that are highlighted in the form of research questions. Conclusion and future directions. During the survey process for these solutions, we got some critical observations in the form of gaps that reflected the other directions for researchers. In which feature engineering, different dependencies of ECG features and dimensional reduction of ECG for the better ECG analysis are reflection of future directions.
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Affiliation(s)
- Uzair Iqbal
- Department of Artificial Intelligence and Data Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan.
| | - Riyad Almakki
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia.
| | - Muhammad Usman
- Department of Computer Science and Technology, Harbin Institue of Technology, Harbin, Heilongjiang, China
| | - Abdullah Altameem
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia
| | - Mubarak Albathan
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Riyadh, Saudi Arabia
| | - Abdul Khader Jilani
- Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
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Yamano T, Kotani K, Kitano N, Morimoto J, Emori H, Takahata M, Fujita S, Wada T, Ota S, Satogami K, Kashiwagi M, Shiono Y, Kuroi A, Tanimoto T, Tanaka A. Telecardiology in Rural Practice: Global Trends. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074335. [PMID: 35410012 PMCID: PMC8998494 DOI: 10.3390/ijerph19074335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 11/21/2022]
Abstract
The management of cardiovascular diseases in rural areas is plagued by the limited access of rural residents to medical facilities and specialists. The development of telecardiology using information and communication technology may overcome such limitation. To shed light on the global trend of telecardiology, we summarized the available literature on rural telecardiology. Using PubMed databases, we conducted a literature review of articles published from January 2010 to December 2020. The contents and focus of each paper were then classified. Our search yielded nineteen original papers from various countries: nine in Asia, seven in Europe, two in North America, and one in Africa. The papers were divided into classified fields as follows: seven in tele-consultation, four in the telemedical system, four in the monitoring system, two in prehospital triage, and two in tele-training. Six of the seven tele-consultation papers reported the consultation from rural doctors to urban specialists. More reports of tele-consultations might be a characteristic of telecardiology specific to rural practice. Further work is necessary to clarify the improvement of cardiovascular outcomes for rural residents.
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Affiliation(s)
- Takashi Yamano
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
- Correspondence:
| | - Kazuhiko Kotani
- Division of Community and Family Medicine, Jichi Medical University, Shimotsuke 329-0498, Japan;
| | - Naomi Kitano
- Health Administration Center, Wakayama Medical University, Wakayama 641-0012, Japan;
| | - Junko Morimoto
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Hiroki Emori
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Masahiro Takahata
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Suwako Fujita
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Teruaki Wada
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Shingo Ota
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Keisuke Satogami
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Manabu Kashiwagi
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Yasutsugu Shiono
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Akio Kuroi
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Takashi Tanimoto
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
| | - Atsushi Tanaka
- Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama 641-0012, Japan; (J.M.); (H.E.); (M.T.); (S.F.); (T.W.); (S.O.); (K.S.); (M.K.); (Y.S.); (A.K.); (T.T.); (A.T.)
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Chakraborty A, Sadhukhan D, Pal S, Mitra M. Automated myocardial infarction identification based on interbeat variability analysis of the photoplethysmographic data. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2019.101747] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Mukhopadhyay SK, Ahmad MO, Swamy MNS. SVD and ASCII Character Encoding-Based Compression of Multiple Biosignals for Remote Healthcare Systems. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2018; 12:137-150. [PMID: 29377802 DOI: 10.1109/tbcas.2017.2760298] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Advancements in electronics and miniaturized device fabrication technologies have enabled simultaneous acquisition of multiple biosignals (MBioSigs), but the area of compression of MBioSigs remains unexplored to date. This paper presents a robust singular value decomposition (SVD) and American standard code for information interchange (ASCII) character encoding-based algorithm for compression of MBioSigs for the first time to the best of our knowledge. At the preprocessing stage, MBioSigs are denoised, down sampled and then transformed to a two-dimensional (2-D) data array. SVD of the 2-D array is carried out and the dimensionality of the singular values is reduced. The resulting matrix is then compressed by a lossless ASCII character encoding-based technique. The proposed compression algorithm can be used in a variety of modes such as lossless, with or without using the down sampling operation. The compressed file is then uploaded to a hypertext preprocessor (PHP)-based website for remote monitoring application. Evaluation results show that the proposed algorithm provides a good compression performance; in particular, the mean opinion score of the reconstructed signal falls under the category "very good" as per the gold standard subjective measure.
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Mukhopadhyay SK, Ahmad MO, Swamy M. ASCII-character-encoding based PPG compression for tele-monitoring system. Biomed Signal Process Control 2017. [DOI: 10.1016/j.bspc.2016.09.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Singh A, Sharma L, Dandapat S. Multi-channel ECG data compression using compressed sensing in eigenspace. Comput Biol Med 2016; 73:24-37. [DOI: 10.1016/j.compbiomed.2016.03.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 02/26/2016] [Accepted: 03/28/2016] [Indexed: 11/26/2022]
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