Literature DB >> 3589326

Evaluation of a microprocessor-based portable home monitoring system to measure breathing during sleep.

S Gyulay, D Gould, B Sawyer, D Pond, A Mant, N Saunders.   

Abstract

Study of the epidemiology of disturbances of breathing during sleep was hampered until recently by the need to conduct studies in the laboratory, with attendant inconvenience and limited sample sizes. We assessed the accuracy of a microprocessor-based portable monitoring system (Vitalog PMS-8, Vitalog Corp., CA) to detect and classify episodes of disturbed breathing during sleep in 14 patients with sleep apnea by simultaneously recording oxygenation and thoracoabdominal motion on the portable system and a polygraph. Each patient slept in the laboratory for 1 night. In two subjects, the portable system failed to record thoracoabdominal signals. In the remaining subjects, the portable system detected 78% of 2,340 episodes of disturbed breathing, but the recorded information was not sufficient to allow confident classification into central or obstructive events. The positive predictive value of disturbed breathing detected by the portable system was 64%, Respiratory disturbance indices (RDI) computed from the polygraph and portable records were correlated (r = 0.70; p less than 0.01), and all patients with sleep apnea were correctly diagnosed by the portable system. The portable system overestimated arterial oxygen saturation (SaO2) recorded by an ear oximeter (Biox IIA, Ohmeda, CO) but the error was less than 10% of the true value at SaO2 greater than 60%. Seven normal subjects were studied while awake to examine the accuracy of volume measurements made by the portable system and the system's ability to detect paradoxical thoracoabdominal motion of various degrees. Absolute measurement of tidal volume was inaccurate, but detection rate of paradoxical thoracoabdominal motion was excellent (97%). We conclude that the portable system is sufficiently sensitive to allow detection of patients with breathing disorders during sleep, but further developments are necessary before the system can be relied on for accurate classification of apneas and hypoventilation.

Entities:  

Mesh:

Year:  1987        PMID: 3589326     DOI: 10.1093/sleep/10.2.130

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  10 in total

1.  Sleep medicine: the shot heard around the world.

Authors:  Meir Kryger
Journal:  J Clin Sleep Med       Date:  2012-04-15       Impact factor: 4.062

Review 2.  Monitoring at home.

Authors:  K H Rühle; P Kempf; B Mössinger
Journal:  Lung       Date:  1990       Impact factor: 2.584

Review 3.  How much polysomnography is enough?

Authors:  D Kurtz
Journal:  Lung       Date:  1990       Impact factor: 2.584

4.  Timing, number and complexities of sleep studies.

Authors:  K P Strohl
Journal:  Sleep Breath       Date:  1997-06       Impact factor: 2.816

5.  Newer methods in sleep disorders medicine.

Authors:  J S Poceta; M K Erman; M M Mitler
Journal:  West J Med       Date:  1988-05

6.  Use of home sleep studies for diagnosis of the sleep apnoea/hypopnoea syndrome.

Authors:  A T Whittle; S P Finch; I L Mortimore; T W MacKay; N J Douglas
Journal:  Thorax       Date:  1997-12       Impact factor: 9.139

7.  The use of a personal computer for trend data analysis with the Ohmeda 3700 pulse oximeter.

Authors:  H Pasterkamp; D Daien
Journal:  J Clin Monit       Date:  1988-07

8.  Comparison of partially attended night time respiratory recordings and full polysomnography in patients with suspected sleep apnoea/hypopnoea syndrome.

Authors:  P Lloberes; J M Montserrat; A Ascaso; O Parra; A Granados; P Alonso; I Vilaseca; R Rodriguez-Roisin
Journal:  Thorax       Date:  1996-10       Impact factor: 9.139

9.  Sleep hypoxia in myotonic dystrophy and its correlation with awake respiratory function.

Authors:  A J Finnimore; R V Jackson; A Morton; E Lynch
Journal:  Thorax       Date:  1994-01       Impact factor: 9.139

10.  Validation of novel automatic ultra-wideband radar for sleep apnea detection.

Authors:  Yong Zhou; Degui Shu; Hangdi Xu; Yuanhua Qiu; Pan Zhou; Wenjing Ruan; Guangyue Qin; Joy Jin; Hao Zhu; Kejing Ying; Wenxia Zhang; Enguo Chen
Journal:  J Thorac Dis       Date:  2020-04       Impact factor: 2.895

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.