Publications by authors named "Ben McCartney"

Background And Objective: Quantitative measures extracted from ventricular fibrillation (VF) waveform reflect the metabolic state of the myocardium and are associated with survival outcome. The quality of delivered chest compressions during cardiopulmonary resuscitation are also linked with survival. The aim of this research is to explore the viability and effectiveness of a thoracic impedance (TI) based chest compression (CC) guidance system to control CC depth within individual subjects and influence VF waveform properties.

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Article Synopsis
  • Chest compressions (CC) quality during CPR often falls short of guidelines, particularly as fatigue sets in over time.
  • This study examines how the duration of CPR affects the performance of continuous CCs by firefighters using feedback devices, analyzing data from 134 cardiac arrest cases.
  • Results showed a significant decrease in CC depth over two minutes, with a mean depth of 48 mm, but the compression rate remained stable; only about one-third of patients received CC depth within the recommended range.
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Aim: Automated external defibrillators (AEDs) use various shock protocols with different characteristics when deployed in pediatric mode. The aim of this study is to assess and compare the safety and efficacy of different AED pediatric protocols using novel experimental approaches.

Methods: Two defibrillation protocols (A and B) were assessed across two studies: Protocol A: escalating (50-75-90 J) defibrillation waveform with higher voltage, shorter duration and equal phase durations.

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Background: Public access defibrillators (PADs) represent unique life-saving medical devices as they may be used by untrained lay rescuers. Collecting representative clinical data on these devices can be challenging. Here, we present results from a retrospective observational cohort study, describing real-world PAD utilisation over a 5-year period.

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Brain decoding-the process of inferring a person's momentary cognitive state from their brain activity-has enormous potential in the field of human-computer interaction. In this study we propose a zero-shot EEG-to-image brain decoding approach which makes use of state-of-the-art EEG preprocessing and feature selection methods, and which maps EEG activity to biologically inspired computer vision and linguistic models. We apply this approach to solve the problem of identifying viewed images from recorded brain activity in a reliable and scalable way.

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Background: The National Institute of Health and Clinical Excellence (NICE) provide a framework of evidence-based guidelines for the management of metastatic spinal cord compression (MSCC). We aimed to compare our center's provision of service to these best practice guidelines and discuss key shortcomings with their implications for the spinal surgeon.

Methods: Patients with radiologic evidence of MSCC over a 30-month period were identified using the hospital electronic radiological database.

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The purpose of this study was to report both the radiographic and functional outcomes of patients undergoing knee arthrodesis with the Wichita Fusion Nail (WFN) within the Republic of Ireland and compare the results to existing literature. Patient charts and radiographs were reviewed on all patients who had a WFN implanted in Ireland to date. Patients were invited to complete a Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score as a functional assessment.

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