PMID- 34875876
OWN - NLM
STAT- MEDLINE
DCOM- 20220202
LR  - 20240404
IS  - 1742-5662 (Electronic)
IS  - 1742-5689 (Print)
IS  - 1742-5662 (Linking)
VI  - 18
IP  - 185
DP  - 2021 Dec
TI  - Polymeric piezoresistive airflow sensor to monitor respiratory patterns.
PG  - 20210753
LID - 10.1098/rsif.2021.0753 [doi]
LID - 20210753
AB  - Monitoring human respiratory patterns is of great importance as it gives 
      essential information for various medical conditions, e.g. sleep apnoea syndrome 
      and chronic obstructive pulmonary disease and asthma, etc. Herein, we have 
      developed a polymeric airflow sensor based on nanocomposites of vertically grown 
      graphene nanosheets (VGNs) with polydimethylsiloxane (PDMS) and explored their 
      applications in monitoring human respiration. The sensing performance of the 
      VGNs/PDMS nanocomposite was characterized by exposing to a range of airflow rates 
      (20-130 l min(-1)), and a linear performance with high sensitivity and low 
      response time (mostly below 1 s) was observed. To evaluate the experimental 
      results, finite-element simulation models were developed in the COMSOL 
      Multiphysics package. The piezoresistive properties of VGNs/PDMS thin film and 
      fluid-solid interaction were thoroughly studied. Laser Doppler vibrometry 
      measures of sensor tip displacement closely approximated simulated deflection 
      results and validated the dynamic response of the sensor. By comparing the 
      proposed sensor and some other airflow sensors in the literature, it is concluded 
      that the VGNs/PDMS airflow sensor has excellent features in terms of sensor 
      height, detection range and sensitivity. The potential application of the 
      VGNs/PDMS airflow sensor in detecting the respiration pattern of human exercises 
      like walking, jogging and running has been demonstrated.
FAU - Moshizi, Sajad Abolpour
AU  - Moshizi SA
AUID- ORCID: 0000-0001-5445-8883
AD  - School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
FAU - Abedi, Abolfazl
AU  - Abedi A
AUID- ORCID: 0000-0003-4477-3649
AD  - Department of Electrical Engineering, Shahid Beheshti University, Tehran 19834, 
      Iran.
FAU - Sanaeepur, Majid
AU  - Sanaeepur M
AUID- ORCID: 0000-0001-8818-2897
AD  - Department of Electrical Engineering, Faculty of Engineering, Arak University, 
      Arak 3815688349, Iran.
FAU - Pastras, Christopher J
AU  - Pastras CJ
AUID- ORCID: 0000-0003-1985-1705
AD  - School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.
FAU - Han, Zhao Jun
AU  - Han ZJ
AUID- ORCID: 0000-0002-2437-319X
AD  - CSIRO Manufacturing, PO Box 218, 36 Bradfield Road, Lindfield, NSW 2070, 
      Australia.
FAU - Wu, Shuying
AU  - Wu S
AUID- ORCID: 0000-0002-6585-8898
AD  - School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
FAU - Asadnia, Mohsen
AU  - Asadnia M
AUID- ORCID: 0000-0003-3157-7796
AD  - School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20211208
PL  - England
TA  - J R Soc Interface
JT  - Journal of the Royal Society, Interface
JID - 101217269
RN  - 7782-42-5 (Graphite)
SB  - IM
MH  - *Graphite
MH  - Humans
MH  - Monitoring, Physiologic
MH  - *Nanocomposites
MH  - *Wearable Electronic Devices
PMC - PMC8652268
OTO - NOTNLM
OT  - finite-element simulation
OT  - graphene-based sensors
OT  - piezoresistive sensors
OT  - respiratory sensors
OT  - vertical graphene nanosheets
EDAT- 2021/12/09 06:00
MHDA- 2022/02/03 06:00
PMCR- 2022/12/08
CRDT- 2021/12/08 05:26
PHST- 2021/12/08 05:26 [entrez]
PHST- 2021/12/09 06:00 [pubmed]
PHST- 2022/02/03 06:00 [medline]
PHST- 2022/12/08 00:00 [pmc-release]
AID - rsif20210753 [pii]
AID - 10.1098/rsif.2021.0753 [doi]
PST - ppublish
SO  - J R Soc Interface. 2021 Dec;18(185):20210753. doi: 10.1098/rsif.2021.0753. Epub 
      2021 Dec 8.