Nowadays biomedical engineers regularly have to combine data from multiple medical imaging modalities, biomedical measurements and computer simulations and this can demand the knowledge of many specialised software tools. Acquiring this knowledge to the depth necessary to perform the various tasks can require considerable time and thus divert the researcher from addressing the actual biomedical...

This paper discusses the design of picowatt power Sigma-delta modulator with genetic algorithm (GA) based oversampling technology. This Sigma-delta modulator design is paid special attention to its low power application of portable electronic system in digitizing biomedical signals such as Electro-cardiogram (ECG), Electroencephalogram (EEG) etc. [1]. A high performance, low power second order ...

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Among the synthetic polymers, poly (3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) microbial polyester is one of the biocompatible and biodegradable copolymers in the nanomedicine scope. PHBV has key points and suitable properties to support cellular adhesion, proliferation and differentiation of nanofibers. Nanofibers are noticeably employed in order to enhance the performance of biomaterials,...

Embedded system is a computing device with a combination of both hardware and software designed mostly for a single task and it is applied in various devices used in biomedical applications that directly involves in diagnosis, prognosis, patient management and telemedicine. Here, this mini-review addresses the embedded system technologies and their biomedical applications and discusses future c...

we report the direct soft chemical synthesis and characterization of a family of face centered cubic (fcc) and partially ordered face centered tetragonal (fct) fept nanoparticles (nps) suitable for biomedical applications. both fcc and partially ordered fct-fept nps are synthesized by employing a simple polyol method. by using polyvinyl pyrolidone (pvp) as a stabilizer in various ratios during ...

This paper shows promising results in the application of Convolutional Neural Networks (CNN) to biomedical imaging. Texture is often dominant in biomedical imaging and its analysis is essential to automatically obtain meaningful information. Therefore, we introduce a method using a Texture CNN for the classification of biomedical images. We test our approach on three datasets of liver tissues i...

Biomedical engineering is a very significant research field which bridges the gap between the fundamental engineering knowledge and technology, and clinical practice and application. It includes a broad range of topics, both established and groundbreaking, from biomaterials to tissue engineering and cell engineering; from biomechanics to biomedical physics; from biomedical electronics to biomed...