Accuracy of pulse interval timing in ambulatory blood pressure measurement
- Resource Type
- Authors
- Frank McArdle; Philip Langley; Andrew Sims; Sarah A. Kane; James R. Blake
- Source
- Scientific Reports
- Subject
- Adult
Male
medicine.medical_specialty
Ambulatory blood pressure
Blood Pressure
030204 cardiovascular system & hematology
01 natural sciences
Article
Electrocardiography
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
Heart Rate
Internal medicine
Ambulatory blood pressure measurement
medicine
Humans
0101 mathematics
Pulse
Pulse interval
Multidisciplinary
Blood pressure monitors
medicine.diagnostic_test
Pulse (signal processing)
business.industry
Blood Pressure Monitoring, Ambulatory
Middle Aged
Blood Pressure Monitors
Surgery
Blood pressure
Linear Models
Mixed effects
Cardiology
Female
business
- Language
- ISSN
- 2045-2322
Blood pressure (BP) monitors rely on pulse detection. Some blood pressure monitors use pulse timings to analyse pulse interval variability for arrhythmia screening, but this assumes that the pulse interval timings detected from BP cuffs are accurate compared with RR intervals derived from ECG. In this study we compared the accuracy of pulse intervals detected using an ambulatory blood pressure monitor (ABPM) with single lead ECG. Twenty participants wore an ABPM for three hours and a data logger which synchronously measured cuff pressure and ECG. RR intervals were compared with corresponding intervals derived from the cuff pressure tracings using three different pulse landmarks. Linear mixed effects models were used to assess differences between ECG and cuff pressure timings and to investigate the effect of potential covariates. In addition, the maximum number of successive oscillometric beats detectable in a measurement was assessed. From 243 BP measurements, the landmark at the foot of the oscillometric pulse was found to be associated with fewest covariates and had a random error of 9.5 ms. 99% of the cuff pressure recordings had more than 10 successive detectable oscillometric beats. RR intervals can be accurately estimated using an ABPM.