Publications by authors named "Constantinescu L"

Article Synopsis
  • The COVID-19 pandemic of 2020 highlighted various complications related to SARS-CoV-2, particularly involving the heart, which can lead to serious conditions such as myocarditis and heart failure.
  • A case study is presented involving a 42-year-old patient who developed severe heart and kidney issues one month after mild COVID-19 symptoms, where unexpected cardiac complications emerged despite initial tests showing no signs of SARS-CoV-2.
  • The patient's condition worsened rapidly, revealing pericardial effusion requiring emergency treatment, indicating the potential for delayed and varied presentations of COVID-19-related cardiac issues.
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With the continuing digital revolution in the healthcare industry, patients are being confronted with the difficult task of managing their digital medical data. Current personal health record (PHR) systems are able to store and consolidate this data, but they are limited in providing tools to facilitate patients' understanding and management of the data. One reason for this stems from the limited use of contextual information, especially in presenting spatial details such as in volumetric images and videos, as well as time-based temporal data.

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Over the past decade, rapid development of imaging technologies has resulted in the introduction of improved imaging devices, such as multi-modality scanners that produce combined positron emission tomography-computed tomography (PET-CT) images. The adoption of picture archiving and communication systems (PACS) in hospitals have dramatically improved the ability to digitally share medical image studies via portable storage, mobile devices and the Internet. This has in turn led to increased productivity, greater flexibility, and improved communication between hospital staff, referring physicians, and outpatients.

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There exist many viewers for single-modal medical images that are efficient and are equipped with powerful analysis tools. However, there is a distinct lack of efficient image viewers for multi-modality images, particularly for displaying multiple follow-up studies that depict a patient's response to treatment over time. Such viewers would be required to display large amounts of image data.

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With the advent of 4G and other long-term evolution (LTE) wireless networks, the traditional boundaries of patient record propagation are diminishing as networking technologies extend the reach of hospital infrastructure and provide on-demand mobile access to medical multimedia data. However, due to legacy and proprietary software, storage and decommissioning costs, and the price of centralization and redevelopment, it remains complex, expensive, and often unfeasible for hospitals to deploy their infrastructure for online and mobile use. This paper proposes the SparkMed data integration framework for mobile healthcare (m-Health), which significantly benefits from the enhanced network capabilities of LTE wireless technologies, by enabling a wide range of heterogeneous medical software and database systems (such as the picture archiving and communication systems, hospital information system, and reporting systems) to be dynamically integrated into a cloud-like peer-to-peer multimedia data store.

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Rich Internet Applications (RIAs) are an emerging software platform that blurs the line between web service and native application, and is a powerful tool for handheld device deployment. By democratizing health data management and widening its availability, this software platform has the potential to revolutionize telemedicine, clinical practice, medical education and information distribution, particularly in rural areas, and to make patient-centric medical computing a reality. In this paper, we propose a telemedicine application that leverages the ability of a mobile RIA platform to transcode, organise and present textual and multimedia data, which are sourced from medical database software.

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The field of telemedicine is in need of generic solutions that harness the power of small, easily carried computing devices to increase efficiency and decrease the likelihood of medical errors. Our study resolved to build a framework to bridge the gap between handheld and desktop solutions by developing an automated network protocol that wirelessly propagates application data and images prepared by a powerful workstation to handheld clients for storage, display and collaborative manipulation. To this end, we present the Mobile Active Medical Protocol (MAMP), a framework capable of nigh-effortlessly linking medical workstation solutions to corresponding control interfaces on handheld devices for remote storage, control and display.

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Nutrient emissions by point and diffuse sources were estimated for 388 sub-catchments of the Danube river basin for the period 1998-2000 by means of the Model MONERIS. For nitrogen total emissions of 684 kt/a N were estimated for the Danube basin. 80% of these emissions were caused by diffuse sources (mainly groundwater, urban areas and tile drainage).

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Balance control relies on somesthetic, visual and vestibular afferences, their central processing, and adequate motor responses. We studied the consequences on postural control of the suppression of visual afferences by eye closure, during a dynamic posturographic test in six sportsmen and 14 non-sportsmen. Suppression of visual afferences during the test led to a prolongation of the pattern initially recorded with eyes open, followed by a transitory adaptive pattern, then a typical eyes closed pattern.

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The Brain Electrical Activity Mapping (BEAM) of Vestibular Evoked Potentials (VestEP) is a new method in the toolbox of the neurootologist. Two cases of bilateral vestibular loss, diagnosed by classical neurootological methods (highlighted by caloric and optokinetic tests' electronystagmography recording), are reported. The additional information, provided by the Vestibular Evoked Potentials (VestEP) and its high clinical significance for a more accurate neurootologic diagnosis are discussed.

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Brain Electrical Activity Mapping of Vestibular Evoked Potentials (BEAM-VestEP) is a new technology for investigation of the spatial and temporal properties of a rotationally-induced brain electrical events. The method consists of multichannel EEG registration and mapping of the brain isoelectrical contours during short-lasting repetitive angular accelerations. A special data bank containing more than 400 BEAM-VestEP investigations on more than 300 persons, either symptom free volunteers or neurotological patients suffering from vertigo, tinnitus, sudden hearing loss, acoustic tumors, balance disorders, has been created for this study.

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[The value of medical laboratory examinations of subjects fron tropical countries].

Rev Ig Bacteriol Virusol Parazitol Epidemiol Pneumoftiziol Bacteriol Virusol Parazitol Epidemiol

November 1988

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