title: Automatic detection of spiking events in EMFi sheet during sleep.
abstract: In this paper we present a new method for detection of spiking events caused by the increased respiratory resistance (IRR) from ballistocardiographic (BCG) data recorded with EMFi sheet. Spiking is a phenomenon where BCG wave complexes increase in amplitude during IRR. In this study data from six patients with a total of 1503 visually scored spiking events were studied. The algorithm monitors amplitude levels of BCG complexes and detects large relative increases. In this work 10 different variations of the algorithm were compared in order to find the best variation, which can cope with different recordings. The best variation of the algorithm was able to detect spiking events with 80% true positive and 19% false positive rates. The detection is not dependent on absolute waveform amplitudes and therefore does not require any recording-specific tuning prior to application. It is important to recognize spiking events in order to evaluate the severity of respiratory disturbance during sleep.
authors.affiliation: Digital Media Institute, Tampere University of Technology, Signal Processing Laboratory, Korkeakoulunkatu 1, FIN-33101, Tampere, Finland. jalam@cc.tut.fi
authors.forename: Jarmo
authors.initials: J
authors.lastname: Alametsä
authors.forename: Esa
authors.initials: E
authors.lastname: Rauhala
authors.forename: Eero
authors.initials: E
authors.lastname: Huupponen
authors.forename: Antti
authors.initials: A
authors.lastname: Saastamoinen
authors.forename: Alpo
authors.initials: A
authors.lastname: Värri
authors.forename: Atte
authors.initials: A
authors.lastname: Joutsen
authors.forename: Joel
authors.initials: J
authors.lastname: Hasan
authors.forename: Sari-Leena
authors.initials: SL
authors.lastname: Himanen
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001450:Ballistocardiography / Q000295:instrumentation / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012890:Sleep; D012891:Sleep Apnea Syndromes / Q000175:diagnosis* / Q000503:physiopathology*