Quantifying Cognitive Workload Using a Non-Contact Magnetocardiography (MCG) Wearable Sensor

Wang, Zitong; Zhu, Keren; Kaur, Archana; Feiss, Robyn; Yang, Jingzhen; Kiourti, Asimina

doi:10.3390/s22239115

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…Further preliminary research using a novel miniature induction coil array and digital signal processing algorithms to record unshielded MCG from a “simulated heart” ( 267 ) and to calculate heart rate variability under cognitive workload in healthy volunteers ( 268 ) has been recently reported. However, in the latter study, MCG signals were very noisy, and the QRS peaks identifiable in only 11 out of 13 participants, something that might still be a limitation for clinical use.…”

Section: Unshielded Mcg: the Presentmentioning

confidence: 99%

Clinical magnetocardiography: the unshielded bet—past, present, and future

Brisinda,

Fenici,

Fenici

2023

Front. Cardiovasc. Med.

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Magnetocardiography (MCG), which is nowadays 60 years old, has not yet been fully accepted as a clinical tool. Nevertheless, a large body of research and several clinical trials have demonstrated its reliability in providing additional diagnostic electrophysiological information if compared with conventional non-invasive electrocardiographic methods. Since the beginning, one major objective difficulty has been the need to clean the weak cardiac magnetic signals from the much higher environmental noise, especially that of urban and hospital environments. The obvious solution to record the magnetocardiogram in highly performant magnetically shielded rooms has provided the ideal setup for decades of research demonstrating the diagnostic potential of this technology. However, only a few clinical institutions have had the resources to install and run routinely such highly expensive and technically demanding systems. Therefore, increasing attempts have been made to develop cheaper alternatives to improve the magnetic signal-to-noise ratio allowing MCG in unshielded hospital environments. In this article, the most relevant milestones in the MCG's journey are reviewed, addressing the possible reasons beyond the currently long-lasting difficulty to reach a clinical breakthrough and leveraging the authors’ personal experience since the early 1980s attempting to finally bring MCG to the patient's bedside for many years thus far. Their nearly four decades of foundational experimental and clinical research between shielded and unshielded solutions are summarized and referenced, following the original vision that MCG had to be intended as an unrivaled method for contactless assessment of the cardiac electrophysiology and as an advanced method for non-invasive electroanatomical imaging, through multimodal integration with other non-fluoroscopic imaging techniques. Whereas all the above accounts for the past, with the available innovative sensors and more affordable active shielding technologies, the present demonstrates that several novel systems have been developed and tested in multicenter clinical trials adopting both shielded and unshielded MCG built-in hospital environments. The future of MCG will mostly be dependent on the results from the ongoing progress in novel sensor technology, which is relatively soon foreseen to provide multiple alternatives for the construction of more compact, affordable, portable, and even wearable devices for unshielded MCG inside hospital environments and perhaps also for ambulatory patients.

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Section: Unshielded Mcg: the Presentmentioning

confidence: 99%

Clinical magnetocardiography: the unshielded bet—past, present, and future

Brisinda,

Fenici,

Fenici

2023

Front. Cardiovasc. Med.

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Using Multimodal Methods and Machine Learning to Recognize Mental Workload: Distinguishing Between Underload, Moderate Load, and Overload

Jiang,

Li,

et al. 2024

International Journal of Human–Computer Interaction

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A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios

Houghton,

Martinetti,

Majumdar

2024

Sensors

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Wearable sensors for psychophysiological monitoring are becoming increasingly mainstream in safety critical contexts. They offer a novel solution to capturing sub-optimal states and can help identify when workers in safety critical environments are suffering from states such as fatigue and stress. However, sensors can differ widely in their application, design, usability, and measurement and there is a lack of guidance on what should be prioritized or considered when selecting a sensor. The paper aims to highlight which concepts are important when creating or selecting a device regarding the optimization of both measurement and usability. Additionally, the paper discusses how design choices can enhance both the usability and measurement capabilities of wearable sensors. The hopes are that this paper will provide researchers and practitioners in human factors and related fields with a framework to help guide them in building and selecting wearable sensors that are well suited for deployment in safety critical contexts.

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Quantifying Cognitive Workload Using a Non-Contact Magnetocardiography (MCG) Wearable Sensor

Cited by 3 publications

References 48 publications

Clinical magnetocardiography: the unshielded bet—past, present, and future

Clinical magnetocardiography: the unshielded bet—past, present, and future

Using Multimodal Methods and Machine Learning to Recognize Mental Workload: Distinguishing Between Underload, Moderate Load, and Overload

A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios

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