How a human perceives the electrocardiogram - the pursuit of information distribution through scanpath analysis

Augustyniak, Piotr

doi:10.1109/cic.2003.1291227

Cited by 4 publications

(2 citation statements)

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“…An implementation-specific design specifies procedures running on the remote recorder (e.g., signal acquisition and buffering, and patient interfacing), on the central server (e.g., ventricular late potentials detection and frequencydomain HR variability analysis) or on either of these devices (e.g., beat detection and classification, and wave delineation). For the last category, task-sharing rules derived from the studies of human interpretation of the ECG [15], [16], [22], define medically justified conditions for processing, adaptation, and results verification algorithms.…”

Section: Adaptation Mechanismsmentioning

confidence: 99%

“…[22] 3) Seamless optimization of the processing implying the use of a flexible prioritized data transmission format. Studies carried out within the framework of presented research included the analysis of human experts behavior and their mutual relations, the scanpath-based identification of interpretation strategies in human [15], [16] and others. This paper limits its scope to interpretive software adaptation and seamless diagnostic quality control.…”

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confidence: 99%

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Autoadaptivity and Optimization in Distributed ECG Interpretation

Augustyniak

2010

IEEE Trans. Inform. Technol. Biomed.

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Abstract-This paper addresses principal issues of the ECG interpretation adaptivity in a distributed surveillance network. In the age of pervasive access to wireless digital communication, distributed biosignal interpretation networks may not only optimally solve difficult medical cases, but also adapt the data acquisition, interpretation, and transmission to the variable patient's status and availability of technical resources. The background of such adaptivity is the innovative use of results from the automatic ECG analysis to the seamless remote modification of the interpreting software. Since the medical relevance of issued diagnostic data depends on the patient's status, the interpretation adaptivity implies the flexibility of report content and frequency. Proposed solutions are based on the research on human experts behavior, procedures reliability, and usage statistics. Despite the limited scale of our prototype client-server application, the tests yielded very promising results: the transmission channel occupation was reduced by 2.6 to 5.6 times comparing to the rigid reporting mode and the improvement of the remotely computed diagnostic outcome was achieved in case of over 80% of software adaptation attempts.

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Section: Adaptation Mechanismsmentioning

confidence: 99%

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confidence: 99%

Autoadaptivity and Optimization in Distributed ECG Interpretation

Augustyniak

2010

IEEE Trans. Inform. Technol. Biomed.

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Quality-Driven Continuous Adaptiation of ECG Interpretation in a Distributed Surveillance System

Augustyniak

Artificial Intelligence and Soft Computing – ICAISC 2008

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Why verifying diagnostic decisions with a checklist can help: insights from eye tracking

Sibbald

Bruin

et al. 2015

Adv in Health Sci Educ

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Making a diagnosis involves ratifying or verifying a proposed answer. Formalizing this verification process with checklists, which highlight key variables involved in the diagnostic decision, is often advocated. However, the mechanisms by which a checklist might allow clinicians to improve their verification process have not been well studied. We hypothesize that using a checklist to verify diagnostic decisions enhances analytic scrutiny of key variables, thereby improving clinicians’ ability to find and fix mistakes. We asked 16 participants to verify their interpretation of 12 electrocardiograms, randomly assigning half to be verified with a checklist and half with an analytic prompt. While participants were verifying their interpretation, we tracked their eye movements. We analyzed these eye movements using a series of eye tracking variables theoretically linked to analytic scrutiny of key variables. We found that more errors were corrected using a checklist compared to an analytic prompt (.27 ± .53 errors per ECG vs. .04 ± .43, F1,15 = 8.1, p = .01, η2 = .20). Checklist use was associated with enhanced analytic scrutiny in all eye tracking measures assessed (F6,10 = 6.0, p = .02). In this experiment, using a key variable checklist to verify diagnostic decisions improved error detection. This benefit was associated with enhanced analytic scrutiny of those key variables as measured by eye tracking.

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How a human perceives the electrocardiogram - the pursuit of information distribution through scanpath analysis

Abstract: This paper presents the scanpaths analysis

Cited by 4 publications

References 8 publications

Autoadaptivity and Optimization in Distributed ECG Interpretation

Autoadaptivity and Optimization in Distributed ECG Interpretation

Quality-Driven Continuous Adaptiation of ECG Interpretation in a Distributed Surveillance System

Why verifying diagnostic decisions with a checklist can help: insights from eye tracking

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