Analyzing Human Respiration Rate Using Wireless Technologies
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Kaltiokallio, Ossi | |
dc.contributor.author | Ahola, Oskari | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Turunen, Markus | |
dc.date.accessioned | 2020-09-29T08:11:18Z | |
dc.date.available | 2020-09-29T08:11:18Z | |
dc.date.issued | 2020-09-14 | |
dc.format.extent | 42 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/46704 | |
dc.identifier.urn | URN:NBN:fi:aalto-202009295628 | |
dc.language.iso | en | en |
dc.programme | Sähkötekniikan kandidaattiohjelma | fi |
dc.programme.major | Bioinformaatioteknologia | fi |
dc.programme.mcode | ELEC3016 | fi |
dc.subject.keyword | respiration rate | en |
dc.subject.keyword | signal processing | en |
dc.subject.keyword | wireless technologies | en |
dc.subject.keyword | received signal strength | en |
dc.subject.keyword | radar | en |
dc.subject.keyword | channel state information | en |
dc.title | Analyzing Human Respiration Rate Using Wireless Technologies | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |