Efficient power conversion for ultra low voltage micro scale energy transducers
Proceedings of the Conference on Design, Automation and Test in Europe
Micro-scale energy harvesting: a system design perspective
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
A chopper-stabilized high-pass Delta-Sigma Modulator with reduced chopper charge injection
Microelectronics Journal
Multi-modal biometric emotion recognition using classifier ensembles
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Brain-computer interface research at Katholieke Universiteit Leuven
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Feasibility of error-related potential detection as novelty detection problem in p300 mind spelling
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Low-power low-noise analog signal conditioning chip with on-chip drivers for healthcare applications
Microelectronics Journal
Smart wearable systems: Current status and future challenges
Artificial Intelligence in Medicine
Hi-index | 0.00 |
Traditionally the monitoring of the biopotential signals are only limited to clinical applications. On the other hand, there is a growing demand for these biopotential signals to be used in non-clinical applications in order to improve the quality of life and enable the interaction between humans and machines. However, such non-clinical applications of biopotential signal monitoring requires various improvements not only in terms of size and comfort of the biopotential acquisition systems, but also in terms of their power dissipation. An important building block of the biopotential acquisition systems is the front-end circuitry that defines the quality of the extracted signals and unfortunately consumes unacceptable power, when the currently available circuitry is considered. Therefore, this paper focuses on the advances in low-power and high-performance readout circuit design for the acquisition of biopotential signals. In addition, several application examples will be demonstrated, which proves that the realization of high-performance and low-power readout circuits can actually enable the implementation of miniaturized and comfortable biopotential acquisition systems extending the usage of such systems towards non-clinical applications.