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Automatic detection of spiking events in EMFi sheet during sleep.
- Source :
-
Medical engineering & physics [Med Eng Phys] 2006 Apr; Vol. 28 (3), pp. 267-75. Date of Electronic Publication: 2005 Aug 16. - Publication Year :
- 2006
-
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.
- Subjects :
- Ballistocardiography instrumentation
Female
Humans
Male
Middle Aged
Pattern Recognition, Automated methods
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artificial Intelligence
Ballistocardiography methods
Diagnosis, Computer-Assisted methods
Sleep
Sleep Apnea Syndromes diagnosis
Sleep Apnea Syndromes physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1350-4533
- Volume :
- 28
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Medical engineering & physics
- Publication Type :
- Academic Journal
- Accession number :
- 16107319
- Full Text :
- https://doi.org/10.1016/j.medengphy.2005.07.008