How do healthcare practitioners read electrocardiograms? A dual-process model of electrocardiogram interpretation

2019 ◽  
Vol 14 (10) ◽  
pp. 1-19
Author(s):  
Alan Davies ◽  
Julia Mueller ◽  
Laura Horseman ◽  
Bruno Splendiani ◽  
Elspeth Hill ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Process Model ◽  
Recognition System ◽  
Dual Process ◽  
Structured Interviews ◽  
Medical Practitioners ◽  
Process System ◽  
Electrocardiogram Interpretation ◽  
Inductive Thematic Analysis ◽  
Over Time

Background/Aims: This article aims to improve the understanding of the applied cognitive processes when interpreting electrocardiograms in clinical practice. It will do this by examining the self-reported approach practitioners take to interpret any barriers they encounter. Methods: This was a qualitative study in which medical practitioners, who routinely interpret electrocardiograms (n=31), were interviewed. The semi-structured interviews covered: their experience of interpretation; use of a system; pitfalls; changes to approach over time. An inductive thematic analysis was used to identify commonly occurring themes. A further set of practitioners (n=31), completed surveys that concerned their approach to an interpretation and use of interpretation frameworks/systems. Results: Practitioners find it easier to interpret electrocardiograms as they gain experience, but the process remains difficult. Barriers to successful interpretation include artefacts altering the waveform, lack of familiarity with the presenting condition, stress/panic at the prospect of making an inaccurate judgement, and overconfidence in one's interpretation abilities. Conclusions: The results support a dual-process system model that is developed with experience and enhances performance. Over time, experienced practitioners become able to move fluidly between a more formal systematic method and an experience-driven pattern recognition system. Potential errors that may arise from a reliance on pattern recognition (e.g. missing details) can be mitigated by using a systematic approach.

scholarly journals The Relationship Between Anthropometric Variables and Features of Electromyography Signal for Human–Computer Interface

2018 ◽  
pp. 2234-2268
Author(s):  
Angkoon Phinyomark ◽  
Franck Quaine ◽  
Yann Laurillau
Keyword(s):  
Pattern Recognition ◽  
Classification Accuracy ◽  
Recognition System ◽  
Surface Emg ◽  
High Accuracy ◽  
Computer Interfaces ◽  
Emg Pattern Recognition ◽  
Body Compositions ◽  
The Relationship ◽  
Over Time

Muscle-computer interfaces (MCIs) based on surface electromyography (EMG) pattern recognition have been developed based on two consecutive components: feature extraction and classification algorithms. Many features and classifiers are proposed and evaluated, which yield the high classification accuracy and the high number of discriminated motions under a single-session experimental condition. However, there are many limitations to use MCIs in the real-world contexts, such as the robustness over time, noise, or low-level EMG activities. Although the selection of the suitable robust features can solve such problems, EMG pattern recognition has to design and train for a particular individual user to reach high accuracy. Due to different body compositions across users, a feasibility to use anthropometric variables to calibrate EMG recognition system automatically/semi-automatically is proposed. This chapter presents the relationships between robust features extracted from actions associated with surface EMG signals and twelve related anthropometric variables. The strong and significant associations presented in this chapter could benefit a further design of the MCIs based on EMG pattern recognition.

The Effects of Person-Centered Social Support Messages on Recipient Distress Over Time within a Conversation

2021 ◽  
Author(s):  
Stephen A Rains ◽  
Andrew C High
Keyword(s):  
Social Support ◽  
Emotional Distress ◽  
Process Model ◽  
Linear Trend ◽  
Dual Process ◽  
Supportive Communication ◽  
Support Provider ◽  
Before And After ◽  
Supportive Messages ◽  
Over Time

Abstract Although prior research documents the benefits of supportive messages containing higher levels of verbal person centeredness (VPC), the effects of this message property over time within a discussion are not well understood. This project evaluated predictions about the effects of high and low VPC messages over time drawn from the theory of conversationally induced reappraisals and the dual-process model of supportive communication outcomes. Participants (N = 281) completed an interaction with a computerized support provider in which the level of VPC was manipulated. Before and after the interaction and after receiving each of four supportive messages, participants rated their emotional distress, reappraisal, and validation. Participants in the high and low VPC conditions exhibited a significant reduction in emotional distress from before to after their interaction. Receiving subsequent messages with high levels of VPC produced a non-linear trend in distress reduction, whereas receiving subsequent low VPC messages fostered little change.

The Meaning of RTI in Vietnam—A Qualitative Study of Illness Representation: Collaboration or Self-Regulation?

1997 ◽  
Vol 24 (6) ◽  
pp. 773-785 ◽  
Author(s):  
Pamina M. Gorbach ◽  
Dao T. Khanh Hoa ◽  
Eugenia Eng ◽  
Amy Tsui
Keyword(s):  
Family Planning ◽  
Process Model ◽  
Reproductive Tract ◽  
Self Regulation ◽  
Dual Process ◽  
National Committee ◽  
Care Seeking ◽  
Structured Interviews ◽  
Reproductive Tract Infections ◽  
Tract Infections

In collaboration with the National Committee for Population and Family Planning, a study was conducted in a rural and urban commune of northern Vietnam to provide community-level information about women's reproductive health and behaviors. Ethnographic and structured interviews were conducted with 32 women. A psychosocial model of health behavior, the Dual Process Model, was applied to provide a theoretical framework for understanding women's interpretations of, and strategies for, coping with symptoms of reproductive tract infections (RTIs). Women were found to interpret and manage RTI symptoms collaboratively with other women. Therefore, women's approach to care seeking was influenced heavily by their peer network and not driven by their method of family planning.

scholarly journals The Relationship between Anthropometric Variables and Features of Electromyography Signal for Human–Computer Interface

2014 ◽  
pp. 321-353 ◽  
Author(s):  
Angkoon Phinyomark ◽  
Franck Quaine ◽  
Yann Laurillau
Keyword(s):  
Pattern Recognition ◽  
Classification Accuracy ◽  
Recognition System ◽  
Surface Emg ◽  
High Accuracy ◽  
Computer Interfaces ◽  
Emg Pattern Recognition ◽  
Body Compositions ◽  
The Relationship ◽  
Over Time

Muscle-computer interfaces (MCIs) based on surface electromyography (EMG) pattern recognition have been developed based on two consecutive components: feature extraction and classification algorithms. Many features and classifiers are proposed and evaluated, which yield the high classification accuracy and the high number of discriminated motions under a single-session experimental condition. However, there are many limitations to use MCIs in the real-world contexts, such as the robustness over time, noise, or low-level EMG activities. Although the selection of the suitable robust features can solve such problems, EMG pattern recognition has to design and train for a particular individual user to reach high accuracy. Due to different body compositions across users, a feasibility to use anthropometric variables to calibrate EMG recognition system automatically/semi-automatically is proposed. This chapter presents the relationships between robust features extracted from actions associated with surface EMG signals and twelve related anthropometric variables. The strong and significant associations presented in this chapter could benefit a further design of the MCIs based on EMG pattern recognition.

scholarly journals Distributed IT Championing: a Process Theory

2021 ◽  
pp. 026839622110194
Author(s):  
Bogdan Negoita ◽  
Yasser Rahrovani ◽  
Liette Lapointe ◽  
Alain Pinsonneault
Keyword(s):  
Process Model ◽  
Organizational Structures ◽  
Structured Interviews ◽  
Job Requirements ◽  
Organizational Contexts ◽  
It Implementation ◽  
Bonding And Bridging ◽  
Different Dimensions ◽  
Analytic Induction ◽  
Over Time

Championing is key to the success of an IT implementation. Recently, changes in the nature of technologies used in organizational contexts and changing organizational structures call for a renewed focus on IT championing in order to explain its distributed nature. Following an analytic induction approach and drawing from semi-structured interviews with 37 practitioners (physicians, residents, nurses, IT staff and administrators) in three healthcare-related settings, the study conceptualizes distributed IT championing as a process constituted of multiple individuals’ behaviors, unfolding over time, that proactively go beyond formal job requirements in support of an IT implementation. While multiple individuals may enact similar championing behaviors, the data indicates that multiple individuals may also enact distinct, yet complementary, championing behaviors over the course of the IT implementation. Overall, distributed IT championing evolves through cycles of distinct stages of bridging-in, bonding, and bridging-out, with each stage being shaped by different dimensions of social capital. Also, IT artifacts that are particularly generative appear more conducive to distributed IT championing than closed ones. This paper contributes to extant literature on IT championing by developing a process model of distributed IT championing in the context of an IT implementation.

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