10 research outputs found

    SoC-FPGA systems for the acquisition and processing of electroencephalographic signals

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    Real-time acquisition and processing of electroencephalographic signals have promising applications in the implementation of brain-computer interfaces. These devices allow the user to control a device without performing motor actions, and are usually made up of a biopotential acquisition stage and a personal computer (PC). This structure is very flexible and appropriate for research, but for final users it is necessary to migrate to an embedded system, eliminating the PC from the scheme. The strict real-time processing requirements of such systems justify the choice of a system on a chip field-programmable gate arrays (SoC-FPGA) for its implementation. This article proposes a platform for the acquisition and processing of electroencephalographic signals using this type of device, which combines the parallelism and speed capabilities of an FPGA with the simplicity of a general-purpose processor on a single chip. In this scheme, the FPGA is in charge of the real-time operation, acquiring and processing the signals, while the processor solves the high-level tasks, with the interconnection between processing elements solved by buses integrated into the chip. The proposed scheme was used to implement a brain-computer interface based on steady-state visual evoked potentials, which was used to command a speller. The first tests of the system show that a selection time of 5 seconds per command can be achieved. The time delay between the user’s selection and the system response has been estimated at 343 µs.Fil: Oliva, Matias Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Arias García, Pablo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Spinelli, Enrique Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Veiga, Alejandro Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentin

    A system on chip based electroencephalogram acquisition system

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    La mayoría de las implementaciones actuales de interfaces cerebro computadora (BCI) consisten en una etapa de adquisición de biopotenciales y una PC, donde se realiza el procesamiento de las señales. Como estas han demostrado su potencialidad para mejorar la calidad de vida de personas con movilidad reducida y pérdida del habla se plantea la necesidad de migrar a un dispositivo de tamaño reducido, eliminando la PC del esquema. Los estrictos requerimientos de procesamiento en tiempo real de las BCI justifican la elección de un sistema embebido heterogéneo para este propósito. En este trabajo se presenta un adquisidor de señales de electroencefalograma (EEG) basado en un sistema SoC (System on Chip) DE10-nano de bajo costo, provisto por Altera. Se describe el sistema por completo y se muestran registros de EEG de un ritmo alfa, correspondientes a un usuario durante un periodo de relajación. Mediante el procesamiento off line de la señal se obtiene su espectro de frecuencias, el cual tiene un máximo de amplitud en 12,8 Hz, característico de una señal de este tipo. La validación del sistema de adquisición implementado constituye un punto de partida sólido para el desarrollo de una BCI completamente funcional en el futuro, así como otro tipo de aplicaciones con restricciones temporales más demandantes.Current Brain computer interfaces (BCI) are usually implemented by a biopotential acquisition board and a computer (PC), where the signal processing is performed. Since these have demonstrated their potential to improve the quality of life of people with reduced mobility and speech losses, it is time to migrate to smaller devices, eliminating the PC from the scheme. The strict real time processing requirements of BCI justify the use of a System on Chip (SoC) for this propose. This work presents an electroencephalogram (EEG) acquisition system based on a low-cost DE10-nano SoC provided by Altera. The complete system is described and EEG records of an alpha rhythm, corresponding to a user during a period of relaxation, are shown. Through offline processing of the signal, its frequency spectrum is obtained, which has a maximum amplitude at 12.8 Hz, characteristic for a signal of this type. The validation of the acquisition system constitutes a solid starting point for the development of a fully functional BCI in the future, as well as other applications with more demanding time constraints.an electroencephalogram (EEG) acquisition system based on a low-cost DE10-nano SoC provided by Altera. The complete system is described and EEG records of an alpha rhythm, corresponding to a user during a period of relaxation, are shown. Through offline processing of the signal, its frequency spectrum is obtained, which has a maximum amplitude at 12.8 Hz, characteristic for a signal of this type. The validation of the acquisition system constitutes a solid starting point for the development of a fully functional BCI in the future, as well as other applications with more demanding time constraints.Fil: Oliva, Matias Javier. Universidad Nacional de La Plata. Facultad de Ingeniería; ArgentinaFil: Garcia, Pablo Andres. Universidad Nacional de La Plata. Facultad de Ingeniería; ArgentinaFil: Spinelli, Enrique Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentin

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study (Intensive Care Medicine, (2021), 47, 2, (160-169), 10.1007/s00134-020-06234-9)

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    The original version of this article unfortunately contained a mistake. The members of the ESICM Trials Group Collaborators were not shown in the article but only in the ESM. The full list of collaborators is shown below. The original article has been corrected

    Outcomes in Newly Diagnosed Atrial Fibrillation and History of Acute Coronary Syndromes: Insights from GARFIELD-AF

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    BACKGROUND: Many patients with atrial fibrillation have concomitant coronary artery disease with or without acute coronary syndromes and are in need of additional antithrombotic therapy. There are few data on the long-term clinical outcome of atrial fibrillation patients with a history of acute coronary syndrome. This is a 2-year study of atrial fibrillation patients with or without a history of acute coronary syndromes
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