The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Advances in Modern Electrocardiographic Equipment for Long-Term Ambulatory Monitoring
Abstract
Electrocardiographic ambulatory "Holter" monitoring (AECG) is an essential tool in the diagnostic evaluation of patients with cardiac arrhythmias. Recent advances in digital Holter technology have improved the quality of the ECG signals and new dedicated algorithms have expanded the clinical application of software-based AECG analysis systems. Due to the availability of inexpensive large storage capacities, very long-term (weeks to months) continuous high-quality AECG monitoring will soon be available, together with devices for long-term long-distance telemetric surveillance for high-risk cardiac patients, utilizing trans-telephonic transmission of ECG data. New digital recorders will also have the capability for multichannel simultaneous recordings (currently from 3 to 8 simultaneous leads). Multichannel digital recordings will allow the recording of different biological signals by appropriate sensors, such as respiratory frequency, peripheral oxygen tension, arterial pulse pressure, EEG, and others. This will transform conventional AECG in ambulatory policardiography, allowing the comprehensive evaluation of patients with complex disorders, such as heart failure or sleep apnea syndromes. By this global approach, Holter analysis becomes a real "noninvasive electrophysiological test," to identify potential risk factors for life-threatening cardiac arrhythmias.
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In the citing paper
“Selection of optimal monitoring electrodes for AECG applications is of critical importance to signal fidelity”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Locati, 2002
In the citing paper
“Some AECG devices also feature multiple biological signal sensors that allow for simultaneous recording of multilead ECGs along with respiratory rate, peripheral oxygen saturation, physical activity, skin temperature, arterial pulse pressure, and other parameters”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Locati, 2002
Citations
Cites
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Cited by
Steinberg, J. S., Varma, N., Cygankiewicz, I., Aziz, P., Balsam, P., Baranchuk, A., Cantillon, D. J., Dilaveris, P., Dubner, S. J., El-Sherif, N., et al. (2017) · Heart Rhythm · doi:10.1016/j.hrthm.2017.03.038 · Cited by 303
Alugubelli, N. R., Abuissa, H. S., & Róka, A. (2022) · Sensors · doi:10.3390/s22228903 · Cited by 156
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Steinberg, J. S., Varma, N., Cygankiewicz, I., Aziz, P. F., Balsam, P., Baranchuk, A. M., Cantillon, D. J., Dilaveris, P., Dubner, S., El‐Sherif, N., et al. (2017) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12447 · Cited by 123
Long-term continuous external electrocardiographic recording: a review
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Metadata
- Authors
- Heilbron, E. L.
- Venue
- Cardiac Electrophysiology Review
- Published
- 2002-09
- Volume
- 6
- Issue
- 3
- Pages
- 185-189
- ISSN
- 1385-2264 (ISSN-L)
- 1573-725X
- OpenAlex
- W80754555
- Cited by
- 28
- References
- 13
- Citations by year
- 2022: 2 · 2021: 2 · 2018: 1 · 2017: 3 · 2015: 1 · 2013: 2 · 2012: 1
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Cardiac Electrophysiology Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- Holter monitoring, cardiac arrhythmias, long-term ECG monitoring, ECG signal quality, ECG analysis software, heart failure, sleep apnea, cardiac risk assessment
- MeSH terms
- Arrhythmias, Cardiac, Diagnosis, Computer-Assisted, Heart Rate, Humans, Electrocardiography, Ambulatory, Ventricular Function, Myocardial Ischemia, Telemedicine
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
