1. Respiratory Inductive Plethysmography Data Analysis GUI Chad Dziak Thanh Vuong

2. The study of potential undesirable pharmacodynamic effects of a substance on physiological functions : Cardiovascular Central Nervous System Respiratory Changes between pre dose and post dose data are evaluated to determine what effect, if any, the substance being studied has had on physiological function The results of these studies are used to guide physicians in the safe conduct of clinical trials thru design and execution. Most Safety Pharmacology study designs utilize in-vivo animal models Physiological data can be acquired from animal models in a variety of ways: i.Chronic implantation of a telemetry device ii.External telemetry device (jacketed) iii.Utilization of various flow, volume and pressure metering tools Safety Pharmacology

3. A Novel Methodology Traditional methods i. Plethysmograph chamber ii. Pneumotachograph (PT) Benefits of respiratory inductive plethysmography (RIP) i. Unrestrained ii. Continuous data acquisition RIPPlethysmograph Chamber

4. Without Calibration – Qualitative (will show relative change) With Calibration – Provides absolute values QDC Calibration 1.M Factor – A scaling factor which sets the RIP volumes equal to the PT volumes 2.K Factor – A ratio which changes the thoracic and abdominal contributions to the total signal Calibration of the Signal STRETCH

5. RIP Flow RIP Volume PT Flow PT Volume Respiratory Waveform Morphology

6. The data analysis software currently available to analyze RIP data is very rigid and offers little to no flexibility in the development of new derived parameters This is a major a problem in more specialized study designs Respiratory Load and Phase Angle Analysis Cough Detection Vendors are often unwilling or unable (due to time constraints and/or workload) to develop new derived parameters for a specialized study For this reason we decided that the development of a flexible Matlab GUI capable of analyzing RIP data would be a worthwhile effort An Unmet Need

7. Import Raw Data Enter Thorax Data Column # Enter Abdomen Data Column # Plot Raw Data Enter M-Factor Enter K-Factor No Analyze Raw Data Yes Analyze Calibrated Data Warning if K is not (0-1) Enter Path/Filename of Output Warning if Not Specified Export Data to Excel File

8. Raw data will be imported and read from an excel file. Excel file will contain time, thorax, and abdomen data to be plotted and analyzed. No multiple data files that can be imported No web-based data feed i.Raw data is obtained from the acquisition system Input Data Parameters calculated: 1.Breaths Per Minute 2.Tidal Volume 3.Minute Volume The analyzed data is exported to an excel file Results

9. Zero Crossing logic is flawed We are using every other (even numbered) zero crossing to mark the start and end of a breath respectively i. A better way to find the start of and end of a breath would be to use the slope of the trace at the zero crossing It would have been much more efficient to use structures to organize our data within the GUI Storing the data from each breath in a matrix will not work if the breaths are of different length (dimension mismatch) Results and Insights Future Work Exclusion Criteria We intended to utilize a volume threshold and breath frequency filter to exclude noise from our analysis Additional Parameters 1.Phase angle analysis - parameters such as phase relation 2.Cough detection – derive parameters from RIP data and sound files (microphone)

10. 1.Curran K., Aidan. The Use of Respiratory Inductance Plethysmography for Non-invasive Evaluation of Pulmonary Function in Dogs and Monkeys. Huntingdon Life Sciences. East Millstone, NJ. (http://telemetry.emka.fr/publications/tlmt-HLS-The-use-of-respiratory-inductance-plethysmography-for- non-invasive-evaluation-of-pulmonary-function-in-dogs-and-monkeys.pdf)http://telemetry.emka.fr/publications/tlmt-HLS-The-use-of-respiratory-inductance-plethysmography-for- non-invasive-evaluation-of-pulmonary-function-in-dogs-and-monkeys.pdf 2.Kevin Madden, Robinder G. Khemani, Christopher J.L. Newth, Paediatric applied respiratory physiology – the essentials, Paediatrics and Child Health, Volume 19, Issue 6, June 2009, Pages 249-256, ISSN 1751-7222, 10.1016/j.paed.2009.03.008. (http://www.sciencedirect.com/science/article/pii/S1751722209000572)http://www.sciencedirect.com/science/article/pii/S1751722209000572 3.Konno K, and Mead J. (1967) measurement of the separate volume changes of rib cage and abdomen during breathing. J Appl Physiol 22: 407-422. 4.Murphy, D. J., Renninger, J.P., & Schramek, D. (2010). Respiratory inductive plethysmography as a method for measuring ventilatory parameters in conscious, non-restrained dogs. Journal of Pharmacological and Toxicological Methods, 62, 47-53. 5.crossing.m by Steffen Brueckner 25 Sep 2002 (Updated 28 Aug 2007) (http://www.mathworks.com/matlabcentral/fileexchange/2432)Steffen Brueckner References Contributions Thanh Vuong 1.GUI Design 2.GUI Functionality 3.Plots & Visualizations Chad Dziak 1.GUI Design 2.Data Analysis 3.Plots & Visualizations