The development of an algorithm to track blood pressure accurately based on the pulse transit time method
| dc.check.embargoformat | E-thesis on CORA only | en |
| dc.check.entireThesis | Entire Thesis Restricted | |
| dc.check.opt-out | No | en |
| dc.check.reason | This thesis is due for publication or the author is actively seeking to publish this material | en |
| dc.contributor.advisor | Mathewson, Alan | en |
| dc.contributor.advisor | O'Flynn, Brendan | en |
| dc.contributor.author | McCarthy, Brian M | |
| dc.contributor.funder | Irish Research Council for Science, Engineering and Technology | en |
| dc.contributor.funder | Intel Corporation | en |
| dc.date.accessioned | 2016-12-14T09:52:31Z | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015 | |
| dc.description.abstract | Oscillometric blood pressure (BP) monitors are currently used to diagnose hypertension both in home and clinical settings. These monitors take BP measurements once every 15 minutes over a 24 hour period and provide a reliable and accurate system that is minimally invasive. Although intermittent cuff measurements have proven to be a good indicator of BP, a continuous BP monitor is highly desirable for the diagnosis of hypertension and other cardiac diseases. However, no such devices currently exist. A novel algorithm has been developed based on the Pulse Transit Time (PTT) method, which would allow non-invasive and continuous BP measurement. PTT is defined as the time it takes the BP wave to propagate from the heart to a specified point on the body. After an initial BP measurement, PTT algorithms can track BP over short periods of time, known as calibration intervals. After this time has elapsed, a new BP measurement is required to recalibrate the algorithm. Using the PhysioNet database as a basis, the new algorithm was developed and tested using 15 patients, each tested 3 times over a period of 30 minutes. The predicted BP of the algorithm was compared to the arterial BP of each patient. It has been established that this new algorithm is capable of tracking BP over 12 minutes without the need for recalibration, using the BHS standard, a 100% improvement over what has been previously identified. The algorithm was incorporated into a new system based on its requirements and was tested using three volunteers. The results mirrored those previously observed, providing accurate BP measurements when a 12 minute calibration interval was used. This new system provides a significant improvement to the existing method allowing BP to be monitored continuously and non-invasively, on a beat-to-beat basis over 24 hours, adding major clinical and diagnostic value. | en |
| dc.description.status | Not peer reviewed | en |
| dc.description.version | Accepted Version | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | McCarthy, B .M. 2015. The development of an algorithm to track blood pressure accurately based on the pulse transit time method. PhD Thesis, University College Cork. | en |
| dc.identifier.endpage | 179 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/3376 | |
| dc.language | English | en |
| dc.language.iso | en | en |
| dc.publisher | University College Cork | en |
| dc.rights | © 2015, Brian M McCarthy. | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | en |
| dc.subject | Blood pressure | en |
| dc.subject | Pulse transit time | en |
| dc.subject | Stroke volume | en |
| dc.thesis.opt-out | false | |
| dc.title | The development of an algorithm to track blood pressure accurately based on the pulse transit time method | en |
| dc.type | Doctoral thesis | en |
| dc.type.qualificationlevel | Doctoral | en |
| dc.type.qualificationname | PHD (Engineering) | en |
| ucc.workflow.supervisor | alan.mathewson@tyndall.ie |
