dc.contributor.author |
Ai, Weiwei |
|
dc.contributor.author |
Suresh, Vinod |
|
dc.contributor.author |
Roop, Partha S |
|
dc.coverage.spatial |
United States |
|
dc.date.accessioned |
2022-06-13T21:39:43Z |
|
dc.date.available |
2022-06-13T21:39:43Z |
|
dc.date.issued |
2022-02 |
|
dc.identifier.citation |
(2022). Computers in Biology and Medicine, 141, 105136-. |
|
dc.identifier.issn |
0010-4825 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/59791 |
|
dc.description.abstract |
<h4>Objective</h4>Ventilatory pacing by electrical stimulation of the phrenic nerve has many advantages compared to mechanical ventilation. However, commercially available respiratory pacing devices operate in an open-loop fashion, which require manual adjustment of stimulation parameters for a given patient. Here, we report the model development of a closed-loop respiratory pacemaker, which can automatically adapt to various pathological ventilation conditions and metabolic demands.<h4>Methods</h4>To assist the model design, we have personalized a computational lung model, which incorporates the mechanics of ventilation and gas exchange. The model can respond to the device stimulation where the gas exchange model provides biofeedback signals to the device. We use a pacing device model with a proportional integral (PI) controller to illustrate our approach.<h4>Results</h4>The closed-loop adaptive pacing model can provide superior treatment compared to open-loop operation. The adaptive pacing stimuli can maintain physiological oxygen levels in the blood under various simulated breathing disorders and metabolic demands.<h4>Conclusion</h4>We demonstrate that the respiratory pacing devices with the biofeedback can adapt to individual needs, while the lung model can be used to validate and parametrize the device.<h4>Significance</h4>The closed-loop model-based framework paves the way towards an individualized and autonomous respiratory pacing device development. |
|
dc.format.medium |
Print-Electronic |
|
dc.language |
eng |
|
dc.publisher |
Elsevier BV |
|
dc.relation.ispartofseries |
Computers in biology and medicine |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.subject |
Lung |
|
dc.subject |
Humans |
|
dc.subject |
Oxygen |
|
dc.subject |
Respiration, Artificial |
|
dc.subject |
Respiration |
|
dc.subject |
Respiratory Rate |
|
dc.subject |
Central sleep apnea |
|
dc.subject |
Closed-loop modelling |
|
dc.subject |
Lung model |
|
dc.subject |
Precision medicine |
|
dc.subject |
Respiratory pacemakers |
|
dc.subject |
Bioengineering |
|
dc.subject |
Assistive Technology |
|
dc.subject |
6.3 Medical devices |
|
dc.subject |
5.3 Medical devices |
|
dc.subject |
Respiratory |
|
dc.subject |
Science & Technology |
|
dc.subject |
Life Sciences & Biomedicine |
|
dc.subject |
Technology |
|
dc.subject |
Biology |
|
dc.subject |
Computer Science, Interdisciplinary Applications |
|
dc.subject |
Engineering, Biomedical |
|
dc.subject |
Mathematical & Computational Biology |
|
dc.subject |
Life Sciences & Biomedicine - Other Topics |
|
dc.subject |
Computer Science |
|
dc.subject |
Engineering |
|
dc.subject |
AMYOTROPHIC-LATERAL-SCLEROSIS |
|
dc.subject |
ELECTRICAL-STIMULATION |
|
dc.subject |
OXYGEN-CONSUMPTION |
|
dc.subject |
CARDIAC-OUTPUT |
|
dc.subject |
SLEEP |
|
dc.subject |
TIME |
|
dc.subject |
08 Information and Computing Sciences |
|
dc.subject |
09 Engineering |
|
dc.subject |
11 Medical and Health Sciences |
|
dc.title |
Development of closed-loop modelling framework for adaptive respiratory pacemakers. |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1016/j.compbiomed.2021.105136 |
|
pubs.begin-page |
105136 |
|
pubs.volume |
141 |
|
dc.date.updated |
2022-05-31T02:56:56Z |
|
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
34929465 (pubmed) |
|
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/34929465 |
|
pubs.publication-status |
Published |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Journal Article |
|
pubs.elements-id |
877610 |
|
pubs.org-id |
Bioengineering Institute |
|
pubs.org-id |
Engineering |
|
pubs.org-id |
Science |
|
pubs.org-id |
Science Research |
|
pubs.org-id |
Department of Electrical, Computer and Software Engineering |
|
pubs.org-id |
Engineering Science |
|
pubs.org-id |
ABI Associates |
|
pubs.org-id |
Maurice Wilkins Centre (2010-2014) |
|
dc.identifier.eissn |
1879-0534 |
|
dc.identifier.pii |
S0010-4825(21)00930-6 |
|
pubs.number |
105136 |
|
pubs.record-created-at-source-date |
2022-05-31 |
|