Automatic detection of spiking events in EMFi sheet during sleep.
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.
Alametsä
Jarmo
J
Digital Media Institute, Tampere University of Technology, Signal Processing Laboratory, Korkeakoulunkatu 1, FIN-33101, Tampere, Finland. jalam@cc.tut.fi
Rauhala
Esa
E
Huupponen
Eero
E
Saastamoinen
Antti
A
Värri
Alpo
A
Joutsen
Atte
A
Hasan
Joel
J
Himanen
Sari-Leena
SL
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*