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Biomedical Physics & Engineering Express
Resumen/Descripción – provisto por la editorial en inglés
A broad, inclusive, rapid review journal devoted to publishing new research in all areas of biomedical engineering, biophysics and medical physics, with a special emphasis on interdisciplinary work between these fields.Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde jun. 2015 / hasta dic. 2023 | IOPScience |
Información
Tipo de recurso:
revistas
ISSN electrónico
2057-1976
Editor responsable
IOP Publishing (IOP)
País de edición
Estados Unidos
Fecha de publicación
2015-
Cobertura temática
Tabla de contenidos
A review of the dielectric properties of the bone for low frequency medical technologies
Bilal Amin; Muhammad Adnan Elahi; Atif Shahzad; Emily Porter; Martin O’Halloran
Palabras clave: General Nursing.
Pp. 022001
Dynamic fluence map sequencing using piecewise linear leaf position functions
Matthew Kelly; Jacobus H M van Amerongen; Marleen Balvert; David Craft
Palabras clave: General Nursing.
Pp. 025036
Feasibility of low field MRI and proteomics for the analysis of Tissue Engineered bone
Muhammad Waqas; Craig Vierra; David L Kaplan; Shadi Othman
Palabras clave: General Nursing.
Pp. 025037
Modeling biological refractory periods and synaptic depression in an artificial neuron
Éric Hamel; Richard Labib
Palabras clave: General Nursing.
Pp. 025038
Nonlinear plasmonic nanohybrids as probes for multimodal cell imaging and potential phototherapeutic agents
Maxime Boksebeld; Vasyl Kilin; Rachael Taitt; Luigi Bonacina; Alain Géloën; Vladimir Lysenko; Yann Chevolot; Virginie Monnier
Palabras clave: General Nursing.
Pp. 025039
Viability and cell cycle studies of metastatic triple negative breast cancer cells using low voltage electrical pulses and herbal curcumin
Lakshya Mittal; Vishak Raman; Ignacio G Camarillo; Allen L Garner; Raji Sundararajan
Palabras clave: General Nursing.
Pp. 025040
An EEG study on the brain representations in language learning
Akshara Soman; C R Madhavan; Kinsuk Sarkar; Sriram Ganapathy
Palabras clave: General Nursing.
Pp. 025041
Nonlinear characterization of ECGs in patients with Chagas’ disease
M Vizcardo; J Jiménez; E Alvarez; F Moleiro; A Rodríguez; A Octavio
Palabras clave: General Nursing.
Pp. 025042
Design of a 3D-printed ultrasound phase-interference compensator (UPIC) for various test sample environment scenarios
Christian M Langton
Palabras clave: General Nursing.
Pp. 027002
Heart rate and respiration rate detection by optical fiber mattress using statistical classification spectrum analysis
Guangqiang He; Minfang Tang; Rongjian Zhao; Zhan Zhao; Xianxiang Chen; hualin zeng; Zhen Fang
<jats:title>Abstract</jats:title> <jats:p>The authors informed us of their intention to withdraw this article after acceptance but prior to completion of the version of record. The authors have not responded to our communications since then. We hereby withdraw this article from publication. No issues are known regarding the scientific content of the article, and there are no concerns regarding publication ethics.</jats:p> <jats:p>Physiological monitoring systems have been widely used for the collection of key physio-logical parameters such as heart and respiration rates. However, conventional monitoring systems rely on electrodes or bandages which are not well accepted by subjects due to the requirements of direct contacts with their skins. In this paper, a new physiological monitoring system without the direct contacts with hu-man skins was proposed, where physiological movements of subjects were translated into micro bends of optical fibers. More specifically, the movements due to blood pumping were used as the inputs of the system and variations of light intensities of optical fibers were used as the outputs, which were further processed to obtain heart and respiration rates. In data analysis, adaptive regulations and statistical classifications were used to address potential concerns of individual differences and body interferences. The physiological monitoring systems developed in this study were used to quantify heart and reparation rates for healthy volunteers. Experimental results included 1) the heart rates of 40-150bpm and respiration rates of 10-20bpm for individual differences; 2)the heart rates of the mean error 1.60±0.98 beats per minute (bpm), 1.94±0.83bpm, 1.24±0.59bpm, 1.06±0.62 bpm contract to polar beat device in same individuals at four different posture contacts and mean error 1.09±0.96bpm, 1.44±0.99bpm, 1.78±0.94bpm at three different breathing states. Furthermore, the results based on this system were validated by conventional counterparts relying on skin-contacting electrodes where comparable results of 0.26±2.80 bpm in 95% confidence intervals (± 1.96SD) vs. Philips sure-signs of the VM6 medical monitor for heart rates and 0.41 ± 1.49 bpm in 95% confidence intervals (± 1.96SD) vs. ECG-derived Respiratory(EDR) for respiration rates were reported. It is indicated that the developed system has nice performances and can be senselessly used under complex environments. </jats:p>
Palabras clave: General Nursing.
Pp. No disponible