Literature DB >> 19963942

SleepMinder: an innovative contact-free device for the estimation of the apnoea-hypopnoea index.

Alberto Zaffaroni1, Philip de Chazal, Conor Heneghan, Patricia Boyle, Patricia Ronayne Mppm, Walter T McNicholas.   

Abstract

We describe an innovative sensor technology (SleepMinder) for contact-less and convenient measurement of sleep and breathing in the home. The system is based on a novel non-contact biomotion sensor and proprietary automated analysis software. The biomotion sensor uses an ultra low-power radio-frequency transceiver to sense the movement and respiration of a subject. Proprietary software performs a variety of signal analysis tasks including respiration analysis, sleep quality measurement and sleep apnea assessment. This paper measures the performance of SleepMinder as a device for the monitoring of sleep-disordered breathing (SDB) and the provision of an estimate of the apnoea-hypopnoea index (AHI). The SleepMinder was tested against expert manually scored PSG data of patients gathered in an accredited sleep laboratory. The comparison of SleepMinder to this gold standard was performed across overnight recordings of 129 subjects with suspected SDB. The dataset had a wide demographic profile with the age ranging between 20 and 81 years. Body weight included subjects with normal weight through to the very obese (Body Mass Index: 21-44 kg/m(2)). SDB severity ranged from subjects free of SDB to those with severe SDB (AHI: 0.8-96 events/hours). SleepMinder's AHI estimation has a correlation of 91% and can detect clinically significant SDB (AHI>15) with a sensitivity of 89% and a specificity of 92%.

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Year:  2009        PMID: 19963942     DOI: 10.1109/IEMBS.2009.5332909

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Screening for obstructive sleep apnea using a contact-free system compared with polysomnography.

Authors:  Rui Zhao; JianBo Xue; Xiao Song Dong; Hui Zhi; JiaNan Chen; Long Zhao; XueLi Zhang; Jing Li; Thomas Penzel; Fang Han
Journal:  J Clin Sleep Med       Date:  2021-05-01       Impact factor: 4.062

2.  Assessing the severity of sleep apnea syndrome based on ballistocardiogram.

Authors:  Zhu Wang; Xingshe Zhou; Weichao Zhao; Fan Liu; Hongbo Ni; Zhiwen Yu
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

3.  Prospective cohort study to evaluate the accuracy of sleep measurement by consumer-grade smart devices compared with polysomnography in a sleep disorders population.

Authors:  Claire M Ellender; Syeda Farah Zahir; Hailey Meaklim; Rosemarie Joyce; David Cunnington; John Swieca
Journal:  BMJ Open       Date:  2021-11-09       Impact factor: 2.692

4.  Recent developments in home sleep-monitoring devices.

Authors:  Jessica M Kelly; Robert E Strecker; Matt T Bianchi
Journal:  ISRN Neurol       Date:  2012-10-14

5.  Screening for obstructive sleep apnea with novel hybrid acoustic smartphone app technology.

Authors:  Roxana Tiron; Graeme Lyon; Hannah Kilroy; Ahmed Osman; Nicola Kelly; Niall O'Mahony; Cesar Lopes; Sam Coffey; Stephen McMahon; Michael Wren; Kieran Conway; Niall Fox; John Costello; Redmond Shouldice; Katharina Lederer; Ingo Fietze; Thomas Penzel
Journal:  J Thorac Dis       Date:  2020-08       Impact factor: 3.005

  5 in total

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