Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea

被引:0
|
作者
Masanori Hashizaki
Hiroshi Nakajima
Masakazu Tsutsumi
Toshikazu Shiga
Shintaro Chiba
Tomoko Yagi
Yuko Ojima
Azusa Ikegami
Minako Kawabata
Kazuhiko Kume
机构
[1] Omron Corporation,Technology and Intellectual Property H.Q.
[2] Omron Healthcare Co.,Kuwamizu Hospital
[3] LTD.,Institute of Molecular Embryology and Genetics
[4] Ota Memorial Sleep Center,Department of Neuropharmacology, Graduate School of Pharmaceutical Sciences
[5] Kumamoto University,undefined
[6] Kumamoto University,undefined
[7] Nagoya City University,undefined
来源
关键词
actigraphy; contactless; polysomnography; sensor; sleep;
D O I
暂无
中图分类号
学科分类号
摘要
Due to the busy lifestyles of people in developed countries, insufficient sleep has emerged as a central health issue in the general population. Objective home sleep monitoring is preferable for identifying sleep problems and improving sleep quality. Several instruments, most notably wrist actigraphy, have been used for this purpose. However, various impediments, including economic and practical concerns, have continued to hamper the widespread use of self-sleep monitoring. In this study, we used the contactless biomotion sensor based on SleepMinder™ with a frequency band modified from 5.8 GHz to 10.525 Hz to comply with Japanese Radio Law. The purpose of the study was to validate the accuracy of the sleep-wake algorithm for adult outpatients used by this new sensing system. We examined the data using simultaneous polysomnography and compared the results with previous contactless biomotion sensor and actigraphy studies. Data were collected at two institutions, the Ota Memorial Sleep Center and Kuwamizu Hospital. In total, 211 adult subjects participated in the study, and 148 (99 subjects with apnea-hypopnea index score 15) were used for the analysis. The overall accuracy of the new system was 84.1%, and its sensitivity and specificity were 91.8% and 37.6%, respectively. The automated algorithm slightly overestimated total sleep time (bias: +13 min) and sleep efficiency (bias: +3%) compared with polysomnography. As for sleep onset latency and wake time after sleep onset, these were slightly underestimated. The results are comparable to previous contactless biomotion sensor and actigraphy studies, and indicate that this modified contactless biomotion sensor is sufficiently accurate for monitoring sleep-wake patterns in this population.
引用
收藏
页码:106 / 115
页数:9
相关论文
共 50 条
  • [1] Accuracy validation of sleep measurements by a contactless biomotion sensor on subjects with suspected sleep apnea
    Hashizaki, Masanori
    Nakajima, Hiroshi
    Tsutsumi, Masakazu
    Shiga, Toshikazu
    Chiba, Shintaro
    Yagi, Tomoko
    Ojima, Yuko
    Ikegami, Azusa
    Kawabata, Minako
    Kume, Kazuhiko
    SLEEP AND BIOLOGICAL RHYTHMS, 2014, 12 (02) : 106 - 115
  • [2] Monitoring of Weekly Sleep Pattern Variations at Home with a Contactless Biomotion Sensor
    Hashizaki, Masanori
    Nakajima, Hiroshi
    Kume, Kazuhiko
    SENSORS, 2015, 15 (08): : 18950 - 18964
  • [3] VALIDATION OF AUTOMATED SLEEP STAGE AND APNEA ANALYSIS IN SUSPECTED OBSTRUCTIVE SLEEP-APNEA
    ANDREAS, S
    VONBRESKA, B
    MAGNUSSON, K
    KREUZER, H
    EUROPEAN RESPIRATORY JOURNAL, 1993, 6 (01) : 48 - 52
  • [4] Ambulatory detection of sleep apnea using a non-contact biomotion sensor
    Crinion, Sophie J.
    Tiron, Roxana
    Lyon, Graeme
    Zaffaroni, Alberto
    Kilroy, Hannah
    Doheny, Emer
    O'Hare, Emer
    Boyle, Patricia
    Russe, Audrey
    Traynor, Mark
    Kent, Brian D.
    Ryan, Silke
    McNicholas, Walter T.
    JOURNAL OF SLEEP RESEARCH, 2020, 29 (01)
  • [5] Validation of the Sleepiz One plus as a radar-based sensor for contactless diagnosis of sleep apnea
    Gross-Isselmann, Jonas Alexander
    Eggert, Torsten
    Wildenauer, Alina
    Dietz-Terjung, Sarah
    Grosse Sundrup, Martina
    Schoebel, Christoph
    SLEEP AND BREATHING, 2024, 28 (04) : 1691 - 1699
  • [6] Sleep study for suspected sleep apnea - are we overtesting?
    Galego, M. A.
    Fernandes, A. L.
    Cabrita, B.
    Coelho, C.
    Rodrigo, M.
    Simao, P.
    Correia, S.
    Ferreira, J.
    JOURNAL OF SLEEP RESEARCH, 2018, 27
  • [7] VALIDATION OF HOME MONITORING WITH CNS SLEEP I/T IN PATIENTS WITH SUSPECTED OBSTRUCTIVE SLEEP-APNEA
    FERGUSON, KA
    KEENAN, SP
    ANDERSON, B
    FLEETHAM, JA
    AMERICAN REVIEW OF RESPIRATORY DISEASE, 1993, 147 (04): : A808 - A808
  • [8] Validation of a Suprasternal Pressure Sensor for Sleep Apnea Classification in Children
    Amaddeo, Alessandro
    Fernandez-Bolanos, Marta
    Arroyo, Jorge Olmo
    Khirani, Sonia
    Baffet, Guillaume
    Fauroux, Brigitte
    JOURNAL OF CLINICAL SLEEP MEDICINE, 2016, 12 (12): : 1641 - 1647
  • [9] Health status in subjects with suspected obstructive sleep apnea and comparison with a general population
    Beiske, Kornelia K.
    Stavem, Knut
    SCIENTIFIC REPORTS, 2018, 8
  • [10] Health status in subjects with suspected obstructive sleep apnea and comparison with a general population
    Kornelia K. Beiske
    Knut Stavem
    Scientific Reports, 8