PMID- 31161533
OWN - NLM
STAT- MEDLINE
DCOM- 20210604
LR  - 20230315
IS  - 1573-2614 (Electronic)
IS  - 1387-1307 (Linking)
VI  - 34
IP  - 2
DP  - 2020 Apr
TI  - Non-invasive continuous respiratory monitoring using temperature-based sensors.
PG  - 223-231
LID - 10.1007/s10877-019-00329-5 [doi]
AB  - Respiratory rate (RR) is a key vital sign that has been traditionally employed in 
      the clinical assessment of patients and in the prevention of respiratory 
      compromise. Despite its relevance, current practice for monitoring RR in 
      non-intubated patients strongly relies on visual counting, which delivers an 
      intermittent and error-prone assessment of the respiratory status. Here, we 
      present a novel non-invasive respiratory monitor that continuously measures the 
      RR in human subjects. The respiratory activity of the user is inferred by sensing 
      the thermal transfer between the breathing airflow and a temperature sensor 
      placed between the nose and the mouth. The performance of the respiratory monitor 
      is assessed through respiratory experiments performed on healthy subjects. Under 
      spontaneous breathing, the mean RR difference between our respiratory monitor and 
      visual counting was 0.4 breaths per minute (BPM), with a 95% confidence interval 
      equal to [- 0.5, 1.3] BPM. The robustness of the respiratory sensor to the 
      position is assessed by studying the signal-to-noise ratio in different locations 
      on the upper lip, displaying a markedly better performance than traditional 
      thermal sensors used for respiratory airflow measurements.
FAU - Hurtado, Daniel E
AU  - Hurtado DE
AUID- ORCID: 0000-0001-6261-9106
AD  - Department of Structural and Geotechnical Engineering, School of Engineering, and 
      Institute for Biological and Medical Engineering, Schools of Engineering, 
      Medicine and Biological Sciences, Pontificia Universidad Catolica de Chile, 
      Vicuna Mackenna 4860, Santiago, Chile. dhurtado@ing.puc.cl.
FAU - Abusleme, Angel
AU  - Abusleme A
AD  - Department of Electrical Engineering, School of Engineering, Pontificia 
      Universidad Catolica de Chile, Vicuna Mackenna, 4860, Santiago, Chile.
FAU - Chavez, Javier A P
AU  - Chavez JAP
AD  - DICTUC S.A., Vicuna Mackenna, 4860, Santiago, Chile.
LA  - eng
GR  - 17ITE2-72695/CORFO/
GR  - 2015.R.557/Fundacion Copec-UC/
PT  - Evaluation Study
PT  - Journal Article
DEP - 20190603
PL  - Netherlands
TA  - J Clin Monit Comput
JT  - Journal of clinical monitoring and computing
JID - 9806357
SB  - IM
CIN - J Clin Monit Comput. 2020 Apr;34(2):221-222. PMID: 31342305
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Equipment Design
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Monitoring, Physiologic/*instrumentation/methods/statistics & numerical data
MH  - Respiration
MH  - *Respiratory Rate
MH  - Signal-To-Noise Ratio
MH  - Temperature
MH  - Young Adult
OTO - NOTNLM
OT  - Monitoring
OT  - Respiration
OT  - Thermal sensors
EDAT- 2019/06/05 06:00
MHDA- 2021/06/05 06:00
CRDT- 2019/06/05 06:00
PHST- 2018/12/07 00:00 [received]
PHST- 2019/05/29 00:00 [accepted]
PHST- 2019/06/05 06:00 [pubmed]
PHST- 2021/06/05 06:00 [medline]
PHST- 2019/06/05 06:00 [entrez]
AID - 10.1007/s10877-019-00329-5 [pii]
AID - 10.1007/s10877-019-00329-5 [doi]
PST - ppublish
SO  - J Clin Monit Comput. 2020 Apr;34(2):223-231. doi: 10.1007/s10877-019-00329-5. 
      Epub 2019 Jun 3.