Publications by authors named "Jungen Zhang"

Article Synopsis
  • Pre-hospital EMS often faces noisy environments that make it hard to communicate clearly over the phone.
  • This study introduces a new technology called pDenoiser, which is a real-time tool that enhances important speech while reducing background noise.
  • Testing showed that pDenoiser improves speech quality and understanding, making EMS work more efficient and safer during emergencies.
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Article Synopsis
  • Emergency doctors need a better way to understand speech, especially when it’s noisy around them.
  • There are challenges like loud background noise and people talking at the same time during emergencies.
  • A new system is being developed that uses a special method to focus on a specific doctor’s voice, which could make communication during emergencies clearer and safer.
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Out-of-hospital cardiac arrest (OHCA) is a leading cause of global mortality, with numerous factors influencing the patient survival rate and prognosis. This study aimed to evaluate the OHCA epidemiology in China and elaborate on the current Hangzhou emergency system status. This retrospective analysis was based on the medical history system of the Hangzhou Emergency Center registered from 2015-2021.

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The identification of stroke mimics (SMs) in patients with stroke could lead to delayed diagnosis and waste of medical resources. Multilayer perceptron (MLP) was proved to be an accurate tool for clinical applications. However, MLP haven't been applied in patients with suspected stroke onset within 24 h.

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Background: Rapid recognition of acute stroke and large vessel occlusion (LVO) is essential in prehospital triage for timely reperfusion treatment.

Objective: This study aimed to develop and validate a new screening tool for both stroke and LVO in an urban Chinese population.

Methods: This study included patients with suspected stroke who were transferred to our hospital by emergency medical services between July 2017 and June 2021.

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Backgrounds: The timely identification of large vessel occlusion (LVO) in the prehospital stage is extremely important given the disease morbidity and narrow time window for intervention. The current evaluation strategies still remain challenging. The goal of this study was to develop a machine learning (ML) model to predict LVO using prehospital accessible data.

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Background: We investigated the effectiveness of automated pupillometry on monitoring cardiopulmonary resuscitation (CPR) and predicting return of spontaneous circulation (ROSC) in a swine model of cardiac arrest (CA).

Methods: Sixteen male domestic pigs were included. Traditional indices including coronary perfusion pressure (CPP), end-tidal carbon dioxide (ETCO), regional cerebral tissue oxygen saturation (rSO) and carotid blood flow (CBF) were continuously monitored throughout the experiment.

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Background: Continuous renal replacement therapy (CRRT) was currently demonstrated to be an effective way to induce fast hypothermia and had proective effects on cardiac dysfunction and brain damage after cardiac pulmonary resuscitation (CPR). In the present study, we aimed to investigate the influence of extracorporeal circuit cooling using CRRT on renal and intestinal damage after CPR based on a porcine model.

Methods: 32 pigs were subjected to ventricular fibrillation for 8 min, followed by CPR for 5 min before defibrillation.

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Intravenous thrombolysis (IVT) with recombinant tissue plasminogen activator (rt-PA) can improve clinical outcome in eligible patients with acute ischemic stroke (AIS). However, its efficacy is strongly time-dependent. This study was aimed to examine whether prehospital notification by emergency medical service (EMS) providers could reduce onset to needle time (ONT) and improve neurological outcome in AIS patients who received IVT.

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