TY - JOUR
T1 - A pilot study of the nocturnal respiration rates in COPD patients in the home environment using a non-contact biomotion sensor
AU - Ballal, Tarig
AU - Heneghan, Conor
AU - Zaffaroni, Alberto
AU - Boyle, Patricia
AU - de Chazal, Philip
AU - Shouldice, Redmond
AU - McNicholas, Walter T.
AU - Donnelly, Seamas C.
PY - 2014
Y1 - 2014
N2 - Nocturnal respiration rate parameters were collected from 20 COPD subjects over an 8 week period, to determine if changes in respiration rate were associated with exacerbations of COPD. These subjects were primarily GOLD Class 2 to 4, and had been recently discharged from hospital following a recent exacerbation. The respiration rates were collected using a non-contact radio-frequency bio-motion sensor which senses respiratory effort and body movement using a short-range radio-frequency sensor. An adaptive notch filter was applied to the measured signal to determine respiratory rate over rolling 15 s segments. The accuracy of the algorithm was initially verified using ten manually-scored 15 min segments of respiration extracted from overnight parallelograms. The calculated respiration rates were within 1 breath min−1 for >98% of the estimates. For the 20 subjects monitored, 11 experienced one or more subsequent exacerbation of COPD (ECOPD) events during the 8 week monitoring period (19 events total). Analysis of the data revealed a significant increase in nocturnal respiration rate (e.g. >2 breath min−1) prior to many ECOPD events. Using a simple classifier of a change of 1 breath min−1 in the mode of the nocturnal respiration rate, a predictive rule showed a sensitivity of 63% and specificity of 85% for predicting an exacerbation within a 5 d window. We conclude that it is possible to collect respiration rates reliably in the home environment, and that the respiration rate may be a potential indicator of change in clinical status.
AB - Nocturnal respiration rate parameters were collected from 20 COPD subjects over an 8 week period, to determine if changes in respiration rate were associated with exacerbations of COPD. These subjects were primarily GOLD Class 2 to 4, and had been recently discharged from hospital following a recent exacerbation. The respiration rates were collected using a non-contact radio-frequency bio-motion sensor which senses respiratory effort and body movement using a short-range radio-frequency sensor. An adaptive notch filter was applied to the measured signal to determine respiratory rate over rolling 15 s segments. The accuracy of the algorithm was initially verified using ten manually-scored 15 min segments of respiration extracted from overnight parallelograms. The calculated respiration rates were within 1 breath min−1 for >98% of the estimates. For the 20 subjects monitored, 11 experienced one or more subsequent exacerbation of COPD (ECOPD) events during the 8 week monitoring period (19 events total). Analysis of the data revealed a significant increase in nocturnal respiration rate (e.g. >2 breath min−1) prior to many ECOPD events. Using a simple classifier of a change of 1 breath min−1 in the mode of the nocturnal respiration rate, a predictive rule showed a sensitivity of 63% and specificity of 85% for predicting an exacerbation within a 5 d window. We conclude that it is possible to collect respiration rates reliably in the home environment, and that the respiration rate may be a potential indicator of change in clinical status.
UR - http://handle.uws.edu.au:8081/1959.7/561200
U2 - 10.1088/0967-3334/35/12/2513
DO - 10.1088/0967-3334/35/12/2513
M3 - Article
SN - 0967-3334
VL - 35
SP - 2513
EP - 2527
JO - Physiological Measurement
JF - Physiological Measurement
IS - 12
ER -