Remote ECG Monitoring by ECG247 Smart Heart Sensor Article Swipe
Jarle Jortveit
,
Rune Fensli
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/6812889
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/6812889
Background. Heart rhythm disorders are common and may be associated with serious complications. The quality of the ECG signal is crucial to detect and classify arrhythmias. Most available devices for assessment arrhythmias do not allow for remote monitoring. The Norwegian ECG247 Smart Heart Sensor is a new remote patch monitor developed to simplify the assessment of arrhythmias. This study was aimed at evaluating the quality of the ECG signal from the ECG247 Smart Heart Sensor compared to standard 12-lead ECG. Methods. ECG recordings with ECG247 Smart Heart Sensor and a standard 12-lead ECG recorder were performed in 97 volunteers at Sorlandet Hospital, Arendal, Norway, in 2019. All ECGs were analysed by two independent cardiologists. Results. A total of 97 participants (53% men, age 48 (±14) years) were included in the study. The ability for both systems to use recorded ECG data for arrhythmia detection was good (100%). The quality of the P-wave (mean score 1.1 vs. 1.5) and the QRS complex (mean score 1.0 vs. 1.0) from the ECG247 Smart Heart Sensor and that from the 12-lead ECG were comparable (scale: 1: extremely good, 9: not accepted). Noise artefacts were a minor issue in all recordings. Conclusions. The ECG quality from the ECG247 Smart Heart Sensor was comparable to the ECG quality from the standard 12-lead ECG. The ECG247 Smart Heart Sensor may enable easy and remote diagnostics of heart rhythm disorders. This trial is registered with NCT04700865.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/6812889
- https://downloads.hindawi.com/journals/ijta/2022/6812889.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 11
- Related Works
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- OpenAlex ID
- https://openalex.org/W4210964656
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210964656Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/6812889Digital Object Identifier
- Title
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Remote ECG Monitoring by ECG247 Smart Heart SensorWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-11Full publication date if available
- Authors
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Jarle Jortveit, Rune FensliList of authors in order
- Landing page
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https://doi.org/10.1155/2022/6812889Publisher landing page
- PDF URL
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https://downloads.hindawi.com/journals/ijta/2022/6812889.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/ijta/2022/6812889.pdfDirect OA link when available
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Heart Rhythm, QRS complex, Medicine, Telemetry, Electrocardiography, Cardiology, Internal medicine, Computer science, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 4, 2024: 3, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.This | 57, 232 |
| abstract_inverted_index.both | 134 |
| abstract_inverted_index.data | 140 |
| abstract_inverted_index.easy | 224 |
| abstract_inverted_index.from | 69, 166, 174, 200, 212 |
| abstract_inverted_index.good | 145 |
| abstract_inverted_index.men, | 121 |
| abstract_inverted_index.that | 173 |
| abstract_inverted_index.were | 94, 108, 126, 178, 189 |
| abstract_inverted_index.with | 10, 83, 236 |
| abstract_inverted_index.(mean | 152, 161 |
| abstract_inverted_index.2019. | 105 |
| abstract_inverted_index.Heart | 1, 42, 73, 86, 170, 204, 220 |
| abstract_inverted_index.Noise | 187 |
| abstract_inverted_index.Smart | 41, 72, 85, 169, 203, 219 |
| abstract_inverted_index.aimed | 60 |
| abstract_inverted_index.allow | 34 |
| abstract_inverted_index.good, | 183 |
| abstract_inverted_index.heart | 229 |
| abstract_inverted_index.issue | 192 |
| abstract_inverted_index.minor | 191 |
| abstract_inverted_index.patch | 48 |
| abstract_inverted_index.score | 153, 162 |
| abstract_inverted_index.study | 58 |
| abstract_inverted_index.total | 116 |
| abstract_inverted_index.trial | 233 |
| abstract_inverted_index.(±14) | 124 |
| abstract_inverted_index.ECG247 | 40, 71, 84, 168, 202, 218 |
| abstract_inverted_index.P-wave | 151 |
| abstract_inverted_index.Sensor | 43, 74, 87, 171, 205, 221 |
| abstract_inverted_index.common | 5 |
| abstract_inverted_index.detect | 22 |
| abstract_inverted_index.enable | 223 |
| abstract_inverted_index.remote | 36, 47, 226 |
| abstract_inverted_index.rhythm | 2, 230 |
| abstract_inverted_index.signal | 18, 68 |
| abstract_inverted_index.study. | 130 |
| abstract_inverted_index.years) | 125 |
| abstract_inverted_index.(100%). | 146 |
| abstract_inverted_index.(scale: | 180 |
| abstract_inverted_index.12-lead | 78, 91, 176, 215 |
| abstract_inverted_index.Norway, | 103 |
| abstract_inverted_index.ability | 132 |
| abstract_inverted_index.complex | 160 |
| abstract_inverted_index.crucial | 20 |
| abstract_inverted_index.devices | 28 |
| abstract_inverted_index.monitor | 49 |
| abstract_inverted_index.quality | 14, 64, 148, 199, 211 |
| abstract_inverted_index.serious | 11 |
| abstract_inverted_index.systems | 135 |
| abstract_inverted_index.Arendal, | 102 |
| abstract_inverted_index.Methods. | 80 |
| abstract_inverted_index.Results. | 114 |
| abstract_inverted_index.analysed | 109 |
| abstract_inverted_index.classify | 24 |
| abstract_inverted_index.compared | 75 |
| abstract_inverted_index.included | 127 |
| abstract_inverted_index.recorded | 138 |
| abstract_inverted_index.recorder | 93 |
| abstract_inverted_index.simplify | 52 |
| abstract_inverted_index.standard | 77, 90, 214 |
| abstract_inverted_index.Hospital, | 101 |
| abstract_inverted_index.Norwegian | 39 |
| abstract_inverted_index.Sorlandet | 100 |
| abstract_inverted_index.artefacts | 188 |
| abstract_inverted_index.available | 27 |
| abstract_inverted_index.detection | 143 |
| abstract_inverted_index.developed | 50 |
| abstract_inverted_index.disorders | 3 |
| abstract_inverted_index.extremely | 182 |
| abstract_inverted_index.performed | 95 |
| abstract_inverted_index.accepted). | 186 |
| abstract_inverted_index.arrhythmia | 142 |
| abstract_inverted_index.assessment | 30, 54 |
| abstract_inverted_index.associated | 9 |
| abstract_inverted_index.comparable | 179, 207 |
| abstract_inverted_index.disorders. | 231 |
| abstract_inverted_index.evaluating | 62 |
| abstract_inverted_index.recordings | 82 |
| abstract_inverted_index.registered | 235 |
| abstract_inverted_index.volunteers | 98 |
| abstract_inverted_index.Background. | 0 |
| abstract_inverted_index.arrhythmias | 31 |
| abstract_inverted_index.diagnostics | 227 |
| abstract_inverted_index.independent | 112 |
| abstract_inverted_index.monitoring. | 37 |
| abstract_inverted_index.recordings. | 195 |
| abstract_inverted_index.Conclusions. | 196 |
| abstract_inverted_index.NCT04700865. | 237 |
| abstract_inverted_index.arrhythmias. | 25, 56 |
| abstract_inverted_index.participants | 119 |
| abstract_inverted_index.cardiologists. | 113 |
| abstract_inverted_index.complications. | 12 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5020982501 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I4210096999 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.84704525 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |