Non-contact diagnostic system for sleep apnea-hypopnea syndrome based on amplitude and phase analysis of thoracic and abdominal Doppler radars

被引:30
作者
Kagawa, Masayuki [1 ]
Tojima, Hirokazu [2 ]
Matsui, Takemi [1 ]
机构
[1] Tokyo Metropolitan Univ, Fac Syst Design, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan
[2] Tokyo Rosai Occupat Dis & Injuries Hosp, Dept Resp Med, Ohta Ku, 4-13-21 Omori Minami, Tokyo 1430013, Japan
基金
日本学术振兴会;
关键词
Sleep apnea-hypopnea syndrome; Doppler radar; Vital signs; Non-contact measurement; Respiratory disturbance index; AIR-FLOW RECORDINGS; OVERNIGHT OXIMETRY; PULSE OXIMETRY; ASYNCHRONY; MOVEMENTS; ACCURACY; PRESSURE; CHANNEL; EVENTS;
D O I
10.1007/s11517-015-1370-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Full-night polysomnography (PSG) has been recognized as the gold standard test for sleep apnea-hypopnea syndrome (SAHS). However, PSG examinees are physically restrained for the full night by many contact sensors and obtrusive connecting cables, inducing mental stress. We developed a non-contact SAHS diagnostic system that can detect apneic events without inducing stress in monitored individuals. Two Doppler radars were installed beneath the mattress to measure the vibrations of the chest and abdomen, respectively. Our system determines apnea and hypopnea events when the radar output amplitude decreases by < 20 and 70 %, respectively, of the amplitude of a normal breath (without SAHS events). Additionally, we proposed a technique that detects paradoxical movements by focusing on phase differences between thoracic and abdominal movements, and were able to identify three types of sleep apnea: obstructive, central, and mixed. Respiratory disturbance indexes obtained showed a higher correlation (r = 94 %) with PSG than with pulse oximetry (r = 89 %). When predicting the severity of SAHS with an apnea-hypopnea index (AHI) of > 15/h or > 30/h using PSG as a reference, the radar system achieved a sensitivity of 96 and 90 %, and a specificity of 100 and 79 % with an AHI of > 15/h and > 30/h, respectively. The proposed radar system can be used as an alternative to the current airflow sensor, and to chest and abdomen belts for apnea-hypopnea evaluation.
引用
收藏
页码:789 / 798
页数:10
相关论文
共 27 条
[1]  
ANDERSSON D, 1983, J DEV PHYSIOL, V5, P289
[2]   Evaluation of the accuracy of manual and automatic scoring of a single airflow channel in patients with a high probability of obstructive sleep apnea [J].
BaHammam, Ahmed ;
Sharif, Munir ;
Gacuan, Divinagracia E. ;
George, Smitha .
MEDICAL SCIENCE MONITOR, 2011, 17 (02) :MT13-MT19
[3]   Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events [J].
Berry, Richard B. ;
Budhiraja, Rohit ;
Gottlieb, Daniel J. ;
Gozal, David ;
Iber, Conrad ;
Kapur, Vishesh K. ;
Marcus, Carole L. ;
Mehra, Reena ;
Parthasarathy, Sairam ;
Quan, Stuart F. ;
Redline, Susan ;
Strohl, Kingman P. ;
Ward, Sally L. Davidson ;
Tangredi, Michelle M. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2012, 8 (05) :597-619
[4]   Nocturnal oximetry for the diagnosis of the sleep apnoea hypopnoea syndrome: a method to reduce the number of polysomnographies? [J].
Chiner, E ;
Signes-Costa, J ;
Arriero, JM ;
Marco, J ;
Fuentes, I ;
Sergado, A .
THORAX, 1999, 54 (11) :968-971
[5]   Which derivative from overnight oximetry best predicts symptomatic response to nasal continuous positive airway pressure in patients with obstructive sleep apnoea? [J].
Choi, S ;
Bennett, LS ;
Mullins, R ;
Davies, RJO ;
Stradling, JR .
RESPIRATORY MEDICINE, 2000, 94 (09) :895-899
[6]   Obstructive Sleep Apnea Devices for Out-Of-Center (OOC) Testing: Technology Evaluation [J].
Collop, Nancy A. ;
Tracy, Sharon L. ;
Kapur, Vishesh ;
Mehra, Reena ;
Kuhlmann, David ;
Fleishman, Sam A. ;
Ojile, Joseph M. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2011, 7 (05) :531-548
[7]   Nasal pressure recordings to detect obstructive sleep apnea [J].
de Almeida, Fernanda Ribeiro ;
Ayas, Najib T. ;
Otsuka, Ryo ;
Ueda, Hiroshi ;
Hamilton, Peter ;
Ryan, Frank C. ;
Lowe, Alan A. .
SLEEP AND BREATHING, 2006, 10 (02) :62-69
[8]  
De Groote A, 2002, J SLEEP RES, V11, P161
[9]   Non-Contact Detection of Breathing Using a Microwave Sensor [J].
Dei, Devis ;
Grazzini, Gilberto ;
Luzi, Guido ;
Pieraccini, Massimiliano ;
Atzeni, Carlo ;
Boncinelli, Sergio ;
Camiciottoli, Gianna ;
Castellani, Walter ;
Marsili, Massimo ;
Lo Dico, Juri .
SENSORS, 2009, 9 (04) :2574-2585
[10]   Range correlation and I/Q performance benefits in single-chip silicon Doppler radars for noncontact cardiopulmonary monitoring [J].
Droitcour, AD ;
Boric-Lubecke, O ;
Lubecke, VM ;
Lin, JS ;
Kovacs, GTA .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2004, 52 (03) :838-848