Signal Processing in Portable Biopotential Acquisition Systems

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Kosunen, Marko Kempi, Ilia 2018-06-29T08:50:01Z 2018-06-29T08:50:01Z 2018-06-18
dc.description.abstract Signal acquisition for biomedical applications is a challenging subject with increasing demands in fidelity. Modern biomedical systems require flexibility, portability and reliability of the measurement equipment. Implants and wearable modules are becoming the main focus as the future diagnostic tools. The miniaturization of high-precision equipment involves numerous important trade-offs that have to be addressed in order to meet the imposed requirements. Biopotential signal processing happens in low frequency bands and involves detection of various temporal and spectral features. Relatively small amplitude and inaccessible nature of the signal sources require advanced techniques in offset cancellation and noise filtering. With careful design considerations it is possible to take advantage of the properties of the signal and minimize the processing required to extract the vital information from a patient body in a most convenient way. This work presents a practical implementation of biomedical signal processing chain in embedded cardiogram monitoring system. The tasks of signal acquisition, postprocessing, and out-streaming the signal are thoroughly addressed. The analysis of signal processing techniques that can be applied to encephalogram readings was performed, and the custom wireless streaming protocol was tailored for use with sub-dermal implants. The data handling methods that were studied in both cases give new insights on the related hardware challenges. en
dc.format.extent 67+7
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Signal Processing in Portable Biopotential Acquisition Systems en
dc.type G2 Pro gradu, diplomityö fi Sähkötekniikan korkeakoulu fi
dc.subject.keyword signal processing en
dc.subject.keyword biopotential en
dc.subject.keyword implant en
dc.subject.keyword wearable en
dc.subject.keyword electrocardiogram en
dc.subject.keyword electroencephalogram en
dc.identifier.urn URN:NBN:fi:aalto-201806293876
dc.programme.major Micro- and Nanoelectronic Circuit Design fi
dc.programme.mcode ELEC3036 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Ryynänen, Jussi
dc.programme NanoRad - Master’s Programme in Nano and Radio Sciences (TS2013) fi
dc.location P1 fi
local.aalto.electroniconly yes
local.aalto.openaccess yes

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