Connective tissue

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Connective tissue is a fibrous tissue. It is one of the four traditional classes of tissues. (Wikipedia.org)






Conferences related to Connective tissue

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2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc



Periodicals related to Connective tissue

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control was the number-three journal in acoustics in 2002, according to the annual Journal Citation Report (2002 edition) published by the Institute for Scientific Information. This publication focuses on the theory, design, and application on generation, transmission, and detection of bulk and surface mechanical waves; fundamental studies in physical acoustics; design of sonic ...



Most published Xplore authors for Connective tissue

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Xplore Articles related to Connective tissue

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Detection of ultrasonic flowmeter beam incident angle for precise blood velocity measurements

M. Takenoshita; Y. Yonezawa; A. Mikuniye; W. M. Caldwell Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

First Page of the Article ![](/xploreAssets/images/absImages/00978972.png)


Modeled Current Distribution Inside the Normal and Malignant Human Urothelium Using Finite Element Analysis

Ahmad Keshtkar; Asghar Keshtkar IEEE Transactions on Biomedical Engineering, 2008

When the tissue is changing from normal to abnormal, the distribution of tissue liquids between intra and extra cellular space will be changed and then the measured conductivity and impedivity will also be changed. Therefore, it will cause a different current distribution inside the human bladder tissue in normal and malignant cases. By knowing the amount of electrical impedance inside ...


A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain

Yung-hui Li; Marios Savvides 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009

On normalized iris images, there are many kinds of noises, such as eyelids, eyelashes, shadows or specular reflections, that often occlude the true iris texture. If high recognition rate is desired, those occluded areas must be estimated accurately in order for them to be excluded during the matching stage. In this paper, we propose a unified, probabilistic and learning-based approach ...


Beat-to-beat QRS variability of 12-lead ECG in patients with scintigraphic signs of infarction and ischemia

B. Wohlfart; L. Sornmo; J. Berg; O. Pahlm Computers in Cardiology 1996, 1996

The aim was to study beat-to-beat QRS variability in resting 12-lead ECG in patients with ischemia and myocardial infarction. The variability analysis was based on a refined technique for time alignment of the beats and included means for compensating the influence of respiration. A group with normal myocardial scintigraphy (called NO) was compared to a group with signs of both ...


A model of connective tissue micromechanics

S. M. Mijailovich; D. Stamenovic; J. J. Fredberg Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference, 1991

Unifying concepts at the level of microstructure are developed to account for macroscopic connective tissue elasticity, energy dissipation, and its time- varying response to mechanical loads. A fiber-fiber kinetics model based on the assumption that both rate-dependent and rate-independent dissipative stresses arise in the interaction among fibers in the connective tissue matrix is established. The model accounts for the principal ...


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Educational Resources on Connective tissue

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eLearning

Detection of ultrasonic flowmeter beam incident angle for precise blood velocity measurements

M. Takenoshita; Y. Yonezawa; A. Mikuniye; W. M. Caldwell Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

First Page of the Article ![](/xploreAssets/images/absImages/00978972.png)


Modeled Current Distribution Inside the Normal and Malignant Human Urothelium Using Finite Element Analysis

Ahmad Keshtkar; Asghar Keshtkar IEEE Transactions on Biomedical Engineering, 2008

When the tissue is changing from normal to abnormal, the distribution of tissue liquids between intra and extra cellular space will be changed and then the measured conductivity and impedivity will also be changed. Therefore, it will cause a different current distribution inside the human bladder tissue in normal and malignant cases. By knowing the amount of electrical impedance inside ...


A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain

Yung-hui Li; Marios Savvides 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009

On normalized iris images, there are many kinds of noises, such as eyelids, eyelashes, shadows or specular reflections, that often occlude the true iris texture. If high recognition rate is desired, those occluded areas must be estimated accurately in order for them to be excluded during the matching stage. In this paper, we propose a unified, probabilistic and learning-based approach ...


Beat-to-beat QRS variability of 12-lead ECG in patients with scintigraphic signs of infarction and ischemia

B. Wohlfart; L. Sornmo; J. Berg; O. Pahlm Computers in Cardiology 1996, 1996

The aim was to study beat-to-beat QRS variability in resting 12-lead ECG in patients with ischemia and myocardial infarction. The variability analysis was based on a refined technique for time alignment of the beats and included means for compensating the influence of respiration. A group with normal myocardial scintigraphy (called NO) was compared to a group with signs of both ...


A model of connective tissue micromechanics

S. M. Mijailovich; D. Stamenovic; J. J. Fredberg Proceedings of the 1991 IEEE Seventeenth Annual Northeast Bioengineering Conference, 1991

Unifying concepts at the level of microstructure are developed to account for macroscopic connective tissue elasticity, energy dissipation, and its time- varying response to mechanical loads. A fiber-fiber kinetics model based on the assumption that both rate-dependent and rate-independent dissipative stresses arise in the interaction among fibers in the connective tissue matrix is established. The model accounts for the principal ...


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IEEE-USA E-Books

  • Diseases and Injuries of the Central Nervous System Leading to Sensory-Motor Impairment

    Damage to the central and peripheral nervous systems is associated with a loss of motor drive and a defective afferent input to the central nervous system (CNS). This chapter starts with a presentation of neuron injury. The injuries are categorized based on the extent and type of damage to the nerve and the surrounding connective tissue. The chapter addresses sensory - motor deficits that are caused by neuron injury or disease: (a) cerebrovascular accident (CVA), or stroke, which causes impairments due to changes in blood supply to the brain; (b) spinal cord injuries (SCIs), which result in total or partial obstruction of flow of both sensory and motor information between the peripheral and central nervous systems; (c) nontraumatic disorders of the CNS (amyotrophic lateral sclerosis and multiple sclerosis); and (d) cerebral palsy (CP). Finally, the chapter presents the incidence of CNS diseases.



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