Evaluation of Respiratory Inductive Plethysmography

Carry, Pierre-Yves; Baconnier, Pierre; Eberhard, André; Cotte, Pierre; Benchetrit, Gila

doi:10.1378/chest.111.4.910

Cited by 72 publications

(24 citation statements)

References 26 publications

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“…The LifeShirt® (Vivometrics, Inc., Ventura, CA, U.S.A.), a multi-function ambulatory device and consisting of a Lycra® garment, data recorder and computer-based analysis software (VivoLogic) were used [23], [24]. Respiratory inductive plethysmography, the core system which has been demonstrated to provide an accurate non-invasive assessment of respiratory patterns, was employed [25]. In order to obtain the ventilated volume for further analysis, the device was calibrated in two different successive steps as recommended by the manufacturer.…”

Section: Methodsmentioning

confidence: 99%

The Phrenic Component of Acute Schizophrenia – A Name and Its Physiological Reality

et al. 2012

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Decreased heart rate variability (HRV) was shown for unmedicated patients with schizophrenia and their first-degree relatives, implying genetic associations. This is known to be an important risk factor for increased cardiac mortality in other diseases. The interaction of cardio-respiratory function and respiratory physiology has never been investigated in the disease although it might be closely related to the pattern of autonomic dysfunction. We hypothesized that increased breathing rates and reduced cardio-respiratory coupling in patients with acute schizophrenia would be associated with low vagal function. We assessed variability of breathing rates and depth, HRV and cardio-respiratory coupling in patients, their first-degree relatives and controls at rest. Control subjects were investigated a second time by means of a stress task to identify stress-related changes of cardio-respiratory function. A total of 73 subjects were investigated, consisting of 23 unmedicated patients, 20 healthy, first-degree relatives and 30 control subjects matched for age, gender, smoking and physical fitness. The LifeShirt®, a multi-function ambulatory device, was used for data recording (30 minutes). Patients breathe significantly faster (p<.001) and shallower (p<.001) than controls most pronouncedly during exhalation. Patients' breathing is characterized by a significantly increased amount of middle- (p<.001), high- (p<.001), and very high frequency fluctuations (p<.001). These measures correlated positively with positive symptoms as assessed by the PANSS scale (e.g., middle frequency: r = 521; p<.01). Cardio-respiratory coupling was reduced in patients only, while HRV was decreased in patients and healthy relatives in comparison to controls. Respiratory alterations might reflect arousal in acutely ill patients, which is supported by comparable physiological changes in healthy subjects during stress. Future research needs to further investigate these findings with respect to their physiological consequences for patients. These results are invaluable for researchers studying changes of biological signals prone to the influence of breathing rate and rhythm (e.g., functional imaging).

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Section: Methodsmentioning

confidence: 99%

The Phrenic Component of Acute Schizophrenia – A Name and Its Physiological Reality

et al. 2012

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“…The exact waveform shape is a requirement for the estimation of the two most referenced tidal breathing parameters: the ratio of the time to peak tidal expiratory flow to the total expiratory time ( t PTEF /t E ) and the ratio of the respiratory volume at the peak tidal expiratory flow to the expired tidal volume ( V PTEF /V E ) [20]. Noninvasive respiratory volume signal waveform has been compared with the pneumotachograph flow signal using respiratory inductive plethysmograph in a few published articles [11,21,22]. …”

Section: Introductionmentioning

confidence: 99%

Reducing the airflow waveform distortions from breathing style and body position with improved calibration of respiratory effort belts

2013

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BackgroundRespiratory effort belt measurement is a widely used method to monitor respiration. Signal waveforms of respiratory volume and flow may indicate pathological signs of several diseases and, thus, it would be highly desirable to predict them accurately. Calibrated effort belts are sufficiently accurate for estimating respiratory rate, but the respiratory volume and flow prediction accuracies degrade considerably with changes in the subject’s body position and breathing style.MethodsAn improved calibration method of respiratory effort belts is presented in this paper. It is based on an optimally trained FIR (Finite Impulse Response) filter bank constructed as a MISO system (Multiple-Input Single-Output) between respiratory effort belt signals and the spirometer in order to reduce waveform errors. Ten healthy adult volunteers were recruited. Breathing was varied between the following styles: metronome-guided controlled breathing rate of 0.1 Hz, 0.15 Hz, 0.25 Hz and 0.33 Hz, and a free rate that was felt normal by each subject. Body position was varied between supine, sitting and standing. The proposed calibration method was tested against these variations and compared with the state-of-the-art methods from the literature.ResultsRelative waveform error decreased 60-70% when predicting airflow under changing breathing styles. The coefficient of determination R2 varied between 0.88-0.95 and 0.65-0.79 with the proposed and the standard method, respectively. Standard deviation of respiratory volume error decreased even 80%. The proposed method outperformed other methods.ConclusionsResults show that not only the respiratory volume can be computed more precisely from the predicted airflow, but also the flow waveforms are very accurate with the proposed method. The method is robust to breathing style changes and body position changes improving greatly the accuracy of the calibration of respiratory effort belts over the standard method. The enhanced accuracy of the belt calibration offers interesting opportunities, e.g. in pulmonary and critical care medicine when objective measurements are required.

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“…Instead of measuring volume expansion, ACC uses a microchip to measure acceleration during movement of the chest or abdomen, and therefore has promise for noninvasively monitoring the breathing of animals in a stereotaxic frame. This method is similar to inductance plethysmography, which measures changes in the position of the chest and abdomen with breathing (Stromberg et al, 1993; Carry et al, 1997). However, acceleration as a surrogate for positional changes of the chest has not so far been validated by comparison to a standard method such as WBP.…”

Section: Introductionmentioning

confidence: 99%

A novel, non-invasive method of respiratory monitoring for use with stereotactic procedures

Cleary

Phillips

Wallisch

et al. 2012

Journal of Neuroscience Methods

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Accurate monitoring of respiration is often needed for neurophysiological studies, as either a dependent experimental variable or an indicator of physiological state. Current options for respiratory monitoring of animals held in a stereotaxic frame include EMG recordings, pneumotachograph measurements, inductance-plethysmography, whole-body plethysmography (WBP), and visual monitoring. While powerful, many of these methods prevent access to the animal’s body, interfere with experimental manipulations, or require deep anesthesia and additional surgery. For experiments where these issues may be problematic, we developed a non-invasive method of recording respiratory parameters specifically for use with animals held in a stereotaxic frame. This system, ventilation pressure transduction (VPT), measures variations in pressure at the animal’s nostril from inward and outward airflow during breathing. These pressure changes are detected by a sensitive pressure transducer, then filtered and amplified. The output is an analog signal representing each breath. VPT was validated against WBP using 10% carbon dioxide and systemic morphine (4 mg/kg) challenges in lightly anesthetized animals. VPT accurately represented breathing rate and tidal volume changes under both baseline and challenge conditions. This novel technique can therefore be used to measure respiratory rate and relative tidal volume when stereotaxic procedures are needed for neuronal manipulations and recording.

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Evaluation of Respiratory Inductive Plethysmography

Cited by 72 publications

References 26 publications

The Phrenic Component of Acute Schizophrenia – A Name and Its Physiological Reality

The Phrenic Component of Acute Schizophrenia – A Name and Its Physiological Reality

Reducing the airflow waveform distortions from breathing style and body position with improved calibration of respiratory effort belts

A novel, non-invasive method of respiratory monitoring for use with stereotactic procedures

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