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1.
IEEE Trans Biomed Circuits Syst ; 5(5): 403-12, 2011 Oct.
Article in English | MEDLINE | ID: mdl-23852173

ABSTRACT

This paper presents multi-electrode arrays for in vivo neural recording applications incorporating the principle of electronic depth control (EDC), i.e., the electronic selection of recording sites along slender probe shafts independently for multiple channels. Two-dimensional (2D) arrays were realized using a commercial 0.5- µm complementary-metal-oxide-semiconductor (CMOS) process for the EDC circuits combined with post-CMOS micromachining to pattern the comb-like probes and the corresponding electrode metallization. A dedicated CMOS integrated front-end circuit was developed for pre-amplification and multiplexing of the neural signals recorded using these probes.

2.
Article in English | MEDLINE | ID: mdl-21097257

ABSTRACT

Recent advances in low-power wireless technologies for health are instrumental in bringing EEG monitoring from the hospital to the home environment. This talk provides an overview of imec's research on low-power wireless EEG monitoring. Enabling technologies, integrated systems and remaining challenges are discussed.


Subject(s)
Diagnosis, Computer-Assisted/instrumentation , Electric Power Supplies , Electroencephalography/instrumentation , Monitoring, Ambulatory/instrumentation , Signal Processing, Computer-Assisted/instrumentation , Telemetry/instrumentation , Equipment Design , Equipment Failure Analysis
3.
Article in English | MEDLINE | ID: mdl-19964056

ABSTRACT

This paper discusses ultra-low-power wireless sensor nodes intended for wearable biopotential monitoring. Specific attention is given to mixed-signal design approaches and their impact on the overall system power dissipation. Examples of trade-offs in power dissipation between analog front-ends and digital signal processing are also given. It is shown how signal filtering can further reduce the internal power consumption of a node. Such power saving approaches are indispensable as real-life tests of custom wireless ECG patches reveal the need for artifact detection and correction. The power consumption of such additional features has to come from power savings elsewhere in the system as the overall power budget cannot increase.


Subject(s)
Electrocardiography/instrumentation , Monitoring, Ambulatory/instrumentation , Signal Processing, Computer-Assisted/instrumentation , Telemetry/instrumentation , Algorithms , Amplifiers, Electronic , Computer Communication Networks/instrumentation , Electric Power Supplies , Electrocardiography/methods , Electrodes , Equipment Design/instrumentation , Humans , Pattern Recognition, Automated , Software , User-Computer Interface
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