Time-interleaved pipelined ADC design for computational intelligence and cloud computing application

Author

Wen Cheng Lai ; Jhin Fang Huang ; Wei Jian Lin ; Ta Chen Chiu

Author_Institution

Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

fYear

2014

Firstpage

630

Lastpage

633

Abstract

A 10-bit 60-MS/s time-interleaved pipelined analog-to-digital converter (ADC) is successfully designed and implemented. Long term evolution advance (LTE-A) design for computational Intelligence healthcare systems and cloud computing application. Electrocardiogram (ECG) and human body big data transfer are the important physiological parameters in human body. Through monitoring and analyzing ECG and human body big data transfer, we can know the health condition of human body and achieve the purpose of prevention and diagnosis for diseases accordingly.

Keywords

Big Data; Long Term Evolution; analogue-digital conversion; cloud computing; electrocardiography; health care; medical diagnostic computing; ECG; LTE-A design; analog-to-digital converter; cloud computing application; computational Intelligence healthcare systems; disease diagnosis; disease prevention; electrocardiogram; human body big data transfer; long term evolution advance design; physiological parameters; time-interleaved pipelined ADC design; word length 10 bit; Biomedical monitoring; Electrocardiography; Hospitals; Monitoring; Radiofrequency identification; Wireless communication; Canny operator; Edge extraction; Fast interpolation; Gradient interpolation;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on

Print_ISBN

978-1-4799-4720-1

Type

conf

DOI

10.1109/CCIS.2014.7175811

Filename

7175811