Optimized breath detection algorithm in electrical impedance tomography

Abstract

Based on the gold standard, the most crucial parameters of the proposed algorithms are optimised by using a simple exhaustive search and a weighted metric defined in connection with the receiver operating characterics. This provides a practical way to achieve any desirable trade-off between the sensitivity and the specificity of the detectors.

Model Selection Based Algorithm in Neonatal Chest EIT

“…9 for an interval of frame 603 to 916 corresponding to 10 breaths at the beginning of the recording. This signal can act as an indicator for the time instants (frame numbers) at which the inspirations and expirations start and helps in detection of breaths [37]. In this test the restrictions of having fixed conductivities, assumption on the constant presence of air is lifted and tidal breathing is taking place as a function of time.…”

The Value of Phase Angle in Electrical Impedance Tomography Breath Detection

“…However, the plot of the unwrapped phase angle ϕ shows jumps of ±180 o . Significant correlation was found between the occurrence of jump in measured phase angle ϕ and zero cross as an indicator of a breath cycle in the real valued breath signal in the conventional breath detection method [8].The phase angle had a ±180 o jump when there is a zero cross in real valued EIT breath signal. Consequently, each pair of ±180 o jump in the measured phase angle indicates one breath cycle (Fig 2).…”

“…The conventional zero crossing algorithm described in [8,13] is used to detect breaths in EIT real data. Fig.…”

“…. The red and green diamonds indicate the detected minima and maxima during the expiration and inspiration phases, respectively, in the conventional breath detection method [8] using EIT real values.…”

“…Neonatal breath detection is still in the research phase and needs to be improved. A significant number of studies for EIT based breath detection have been published in recent years [7,8]. The EIT complex value is used in a parametric modeling of changes during a breath cycle in [9].…”