computerized ecg data acquisition device Search Results


computerized ecg machine  (GE Healthcare)
92
GE Healthcare computerized ecg machine
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Computerized Ecg Machine, supplied by GE Healthcare, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/computerized ecg machine/product/GE Healthcare
Average 92 stars, based on 1 article reviews
computerized ecg machine - by Bioz Stars, 2026-06
92/100 stars
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telemetric ecg device televet 100  (Engel Engineering Services GmbH)
90
Engel Engineering Services GmbH telemetric ecg device televet 100
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Telemetric Ecg Device Televet 100, supplied by Engel Engineering Services GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/telemetric ecg device televet 100/product/Engel Engineering Services GmbH
Average 90 stars, based on 1 article reviews
telemetric ecg device televet 100 - by Bioz Stars, 2026-06
90/100 stars
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dms300-4a holter ecg recorder device  (DM Software Inc)
90
DM Software Inc dms300-4a holter ecg recorder device
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Dms300 4a Holter Ecg Recorder Device, supplied by DM Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dms300-4a holter ecg recorder device/product/DM Software Inc
Average 90 stars, based on 1 article reviews
dms300-4a holter ecg recorder device - by Bioz Stars, 2026-06
90/100 stars
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computer-aided ecg analysis program cardiopet ecg device  (IDEXX)
90
IDEXX computer-aided ecg analysis program cardiopet ecg device
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Computer Aided Ecg Analysis Program Cardiopet Ecg Device, supplied by IDEXX, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/computer-aided ecg analysis program cardiopet ecg device/product/IDEXX
Average 90 stars, based on 1 article reviews
computer-aided ecg analysis program cardiopet ecg device - by Bioz Stars, 2026-06
90/100 stars
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computerized ecg data acquisition device  (ADInstruments)
98
ADInstruments computerized ecg data acquisition device
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Computerized Ecg Data Acquisition Device, supplied by ADInstruments, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/computerized ecg data acquisition device/product/ADInstruments
Average 98 stars, based on 1 article reviews
computerized ecg data acquisition device - by Bioz Stars, 2026-06
98/100 stars
  Buy from Supplier
lead ii qoca portable ecg monitoring device  (Quanta Computer Inc)
90
Quanta Computer Inc lead ii qoca portable ecg monitoring device
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Lead Ii Qoca Portable Ecg Monitoring Device, supplied by Quanta Computer Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/lead ii qoca portable ecg monitoring device/product/Quanta Computer Inc
Average 90 stars, based on 1 article reviews
lead ii qoca portable ecg monitoring device - by Bioz Stars, 2026-06
90/100 stars
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computerized brand device  (Aspel Inc)
90
Aspel Inc computerized brand device
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Computerized Brand Device, supplied by Aspel Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/computerized brand device/product/Aspel Inc
Average 90 stars, based on 1 article reviews
computerized brand device - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
cardioday ecg analyses software v2.2.0  (GETEMED AG)
90
GETEMED AG cardioday ecg analyses software v2.2.0
Data collection and labelling. In total, 72 647 12-lead <t>electrocardiograms</t> were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 <t>electrocardiogram</t> signals from 35 981 patients were included in this study.
Cardioday Ecg Analyses Software V2.2.0, supplied by GETEMED AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cardioday ecg analyses software v2.2.0/product/GETEMED AG
Average 90 stars, based on 1 article reviews
cardioday ecg analyses software v2.2.0 - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


Data collection and labelling. In total, 72 647 12-lead electrocardiograms were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 electrocardiogram signals from 35 981 patients were included in this study.

Journal: European Heart Journal. Digital Health

Article Title: Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram

doi: 10.1093/ehjdh/ztab029

Figure Lengend Snippet: Data collection and labelling. In total, 72 647 12-lead electrocardiograms were retrospectively retrieved. Electrocardiograms with duplicate data ( n = 3111), incomplete information of age or age less than 18 years old ( n = 1673), absence of definite diagnosis ( n = 6759), and those not performed at China Medical University Hospital ( n = 567) were excluded. The remaining 60 537 electrocardiogram signals from 35 981 patients were included in this study.

Article Snippet: The 12-lead ECG was recorded according to a standardized protocol and lead position at a sampling rate of 500 Hz using a computerized ECG machine (GE Healthcare MAC 2000/3500/5500, USA).

Techniques:

Two representative electrocardiograms in the external testing. ( A ) The long short-term memory model, all of the four cardiologists, one of the three emergency physicians, and the commercial algorithm correctly classified the electrocardiogram as second degree AV block and acute STEMI, whereas two emergency physicians and all of the three internists annotated either second degree AV block or ST-elevation myocardial infarction but not both for this electrocardiogram. ( B ) The long short-term memory model correctly classified the electrocardiogram as BIGEMINY and first degree AV block, while most doctors (8 of the 10 physicians) and the commercial algorithm only annotated BIGEMINY but not first degree AV block. Abbreviations for the electrocardiogram diagnoses as in <xref ref-type=Figure 2 . " width="100%" height="100%">

Journal: European Heart Journal. Digital Health

Article Title: Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram

doi: 10.1093/ehjdh/ztab029

Figure Lengend Snippet: Two representative electrocardiograms in the external testing. ( A ) The long short-term memory model, all of the four cardiologists, one of the three emergency physicians, and the commercial algorithm correctly classified the electrocardiogram as second degree AV block and acute STEMI, whereas two emergency physicians and all of the three internists annotated either second degree AV block or ST-elevation myocardial infarction but not both for this electrocardiogram. ( B ) The long short-term memory model correctly classified the electrocardiogram as BIGEMINY and first degree AV block, while most doctors (8 of the 10 physicians) and the commercial algorithm only annotated BIGEMINY but not first degree AV block. Abbreviations for the electrocardiogram diagnoses as in Figure 2 .

Article Snippet: The 12-lead ECG was recorded according to a standardized protocol and lead position at a sampling rate of 500 Hz using a computerized ECG machine (GE Healthcare MAC 2000/3500/5500, USA).

Techniques: Blocking Assay

Performance of the long short-term memory model and different groups of board-certified doctors in detecting acute ST-elevation myocardial infarction and different heart rhythms. These are the accuracies and receiver operating characteristic curves in detecting ( A ) ST-elevation myocardial infarction ( B ) atrial fibrillation ( C ) complete heart block ( D ) paroxysmal supraventricular tachycardia of our artificial intelligence model and the results of a commercial algorithm and different groups of doctors in the comparative external tests. The orange line was the receiver operating characteristic curve of the long short-term memory model. The different colour points represent different groups of board-certified doctors. AI, artificial intelligence; CV, cardiologists; ER, emergency physicians; LSTM, long short-term memory; MR, internists; abbreviations for the electrocardiogram diagnoses are as in <xref ref-type=Figure 2 . Only the four important classes, discussed in the main text are shown here, the rest was presented in Supplementary material online, Figure S1 . " width="100%" height="100%">

Journal: European Heart Journal. Digital Health

Article Title: Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram

doi: 10.1093/ehjdh/ztab029

Figure Lengend Snippet: Performance of the long short-term memory model and different groups of board-certified doctors in detecting acute ST-elevation myocardial infarction and different heart rhythms. These are the accuracies and receiver operating characteristic curves in detecting ( A ) ST-elevation myocardial infarction ( B ) atrial fibrillation ( C ) complete heart block ( D ) paroxysmal supraventricular tachycardia of our artificial intelligence model and the results of a commercial algorithm and different groups of doctors in the comparative external tests. The orange line was the receiver operating characteristic curve of the long short-term memory model. The different colour points represent different groups of board-certified doctors. AI, artificial intelligence; CV, cardiologists; ER, emergency physicians; LSTM, long short-term memory; MR, internists; abbreviations for the electrocardiogram diagnoses are as in Figure 2 . Only the four important classes, discussed in the main text are shown here, the rest was presented in Supplementary material online, Figure S1 .

Article Snippet: The 12-lead ECG was recorded according to a standardized protocol and lead position at a sampling rate of 500 Hz using a computerized ECG machine (GE Healthcare MAC 2000/3500/5500, USA).

Techniques: Blocking Assay

The representative ST-elevation myocardial infarction electrocardiogram images of false negative cases missed by humans and the computer in the external test. ( A ) The artificial intelligence model correctly annotated ST-elevation myocardial infarction, whereas one of the four cardiologists labelled ‘Not STEMI’ resulting in a false negative annotation. ( B ) All the four cardiologists correctly diagnosed ST-elevation myocardial infarction, while the artificial intelligence model annotated ‘Not STEMI’ and it was counted as a false negative.

Journal: European Heart Journal. Digital Health

Article Title: Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram

doi: 10.1093/ehjdh/ztab029

Figure Lengend Snippet: The representative ST-elevation myocardial infarction electrocardiogram images of false negative cases missed by humans and the computer in the external test. ( A ) The artificial intelligence model correctly annotated ST-elevation myocardial infarction, whereas one of the four cardiologists labelled ‘Not STEMI’ resulting in a false negative annotation. ( B ) All the four cardiologists correctly diagnosed ST-elevation myocardial infarction, while the artificial intelligence model annotated ‘Not STEMI’ and it was counted as a false negative.

Article Snippet: The 12-lead ECG was recorded according to a standardized protocol and lead position at a sampling rate of 500 Hz using a computerized ECG machine (GE Healthcare MAC 2000/3500/5500, USA).

Techniques: