Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study.
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Practical Insight to Monitor Home NIV in COPD Patients.Monitoring of Physiological Parameters to Predict Exacerbations of Chronic Obstructive Pulmonary Disease (COPD): A Systematic Review.Is Outpatient Control of Long-Term Non-Invasive Ventilation Feasible in Chronic Obstructive Pulmonary Disease Patients?How will telemedicine change clinical practice in chronic obstructive pulmonary disease?Telemonitoring in patients with chronic respiratory insufficiency: expectations deluded?Using domiciliary non-invasive ventilator data downloads to inform clinical decision-making to optimise ventilation delivery and patient compliance.
P2860
Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study.
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2015 nî lūn-bûn
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Parameters recorded by softwar ...... ion: a proof-of-concept study.
@en
Parameters recorded by softwar ...... ion: a proof-of-concept study.
@nl
type
label
Parameters recorded by softwar ...... ion: a proof-of-concept study.
@en
Parameters recorded by softwar ...... ion: a proof-of-concept study.
@nl
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Parameters recorded by softwar ...... ion: a proof-of-concept study.
@en
Parameters recorded by softwar ...... ion: a proof-of-concept study.
@nl
P2093
P50
P1433
P1476
Parameters recorded by softwar ...... tion: a proof-of-concept study
@en
P2093
Amandine Briault
Christophe Pison
Jean-François Timsit
Julie Pelletier
Nathalie Arnol
Nellie Taleux
P304
P356
10.1136/THORAXJNL-2014-206569
P407
P577
2015-01-12T00:00:00Z