PMID- 28324989
OWN - NLM
STAT- MEDLINE
DCOM- 20170626
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2016
DP  - 2016 Aug
TI  - Non-contact real-time estimation of intrapulmonary pressure and tidal volume for 
      chronic heart failure patients.
PG  - 3564-3567
LID - 10.1109/EMBC.2016.7591498 [doi]
AB  - Long-term continuous patient monitoring is required in many health systems for 
      monitoring and analytical diagnosing purposes. It has been recognized that these 
      types of monitoring systems have shortcomings related to patient comfort and/or 
      functionality. Non-contact monitoring systems have been developed to address some 
      of these shortcomings. One of such systems is non-contact physiological vital 
      signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a 
      novel pulmonary ventilation model that defines the relationship between the 
      intrapulmonary pressure and the chest displacement. A novel intrapulmonary 
      pressure and tidal volume estimation algorithm is also proposed. A database 
      consisting of twenty CHF patients with New York Heart Association (NYHA) Heart 
      Failure Classification Class II & III; whose underwent full Polysomnography (PSG) 
      analysis for diagnosis of sleep apnea, disordered sleep, or both, was selected 
      for the verification of the proposed model and algorithm. The proposed algorithm 
      analyzes the non-contact sensor data and estimate the patient's intrapulmonary 
      pressure and tidal volume. The output of the algorithm is compared with the 
      gold-standard PSG recordings. Across all twenty CHF patients' recordings with 
      mean recorded sleep duration of 7.76 hours, the tidal volume estimation median 
      accuracy achieved 83.13% with a median error of 57.32 milliliters. A potential 
      application would be non-contact continuous monitoring of intrapulmonary pressure 
      and tidal volume during sleep in the home.
FAU - Vinh Phuc Tran
AU  - Vinh Phuc Tran
FAU - Al-Jumaily, Adel Ali
AU  - Al-Jumaily AA
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Aged
MH  - *Algorithms
MH  - Chronic Disease
MH  - Equipment Design
MH  - Female
MH  - Heart Failure/*physiopathology
MH  - Humans
MH  - Male
MH  - Monitoring, Physiologic/instrumentation/*methods
MH  - Polysomnography/*methods
MH  - Pressure
MH  - Respiratory Rate
MH  - Sleep Wake Disorders/physiopathology
MH  - Tidal Volume
EDAT- 2016/01/01 00:00
MHDA- 2017/06/27 06:00
CRDT- 2017/03/23 06:00
PHST- 2017/03/23 06:00 [entrez]
PHST- 2016/01/01 00:00 [pubmed]
PHST- 2017/06/27 06:00 [medline]
AID - 10.1109/EMBC.2016.7591498 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:3564-3567. doi: 
      10.1109/EMBC.2016.7591498.