DEEP LEARNING-BASED SLEEP DETECTION USING TORSO PATCH VITAL SIGNS IMPROVES SLEEP-WAKE DETECTION OVER WRIST ACTIGRAPHY

被引:0
|
作者
Pipke, Matt [1 ]
Alla, Srilakshmi [1 ]
Sekaric, Jadranka [1 ]
Richards, Dylan [1 ]
Gendy, Maged [1 ]
Abbott, Sabra [2 ]
Grimaldi, Daniela [3 ]
Reid, Kathryn [2 ]
Zee, Phyllis [2 ]
机构
[1] PhysIQ Inc, Chicago, IL USA
[2] Northwestern Univ, Feinberg Sch Med, Evanston, IL USA
[3] Northwestern Univ, Evanston, IL USA
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
0275
引用
收藏
页数:1
相关论文
共 50 条
  • [1] A novel adaptive wrist actigraphy algorithm for sleep-wake detection in sleep apnea patients
    Hedner, J
    Pillar, G
    Hershcovici, S
    Dvir, I
    Bar, A
    Ding, Z
    Pittman, S
    Sheffy, J
    Lavie, P
    White, DP
    [J]. SLEEP, 2004, 27 : 354 - 354
  • [2] Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy
    Cho, Taeheum
    Sunarya, Unang
    Yeo, Minsoo
    Hwang, Bosun
    Koo, Yong Seo
    Park, Cheolsoo
    [J]. ELECTRONICS, 2019, 8 (12)
  • [3] Evaluation of human activities and sleep-wake identification using wrist actigraphy
    Shinkoda, H
    Matsumoto, K
    Hamasaki, J
    Seo, YJ
    Park, YM
    Park, KP
    [J]. PSYCHIATRY AND CLINICAL NEUROSCIENCES, 1998, 52 (02) : 157 - 159
  • [4] A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data
    Chen, Shanshan
    Perera, Robert
    Engelhard, Matthew M.
    Lunsford-Avery, Jessica R.
    Kollins, Scott H.
    Fuemmeler, Bernard F.
    [J]. 2019 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI), 2019,
  • [5] Actigraphy-Based Sleep/Wake Detection for Insomniacs
    Long, Xi
    Fonseca, Pedro
    Haakma, Reinder
    Aarts, Ronald M.
    [J]. 2017 IEEE 14TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN), 2017, : 1 - 4
  • [6] Sleep/Wake Detection Based on Cardiorespiratory Signals and Actigraphy
    Devot, Sandrine
    Dratwa, Reimund
    Naujokat, Elke
    [J]. 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 5089 - 5092
  • [7] Sleep-wake detection and computation of sleep continuity from a wrist unit in children, adolescents and adults
    Celka, P.
    Martinmaki, K.
    Korhonen, T.
    Santaniemi, N.
    Virkkala, J.
    [J]. EMBEC & NBC 2017, 2018, 65 : 1049 - 1052
  • [8] A novel method to increase specificity of sleep-wake classifiers based on wrist-worn actigraphy
    Ryser, Franziska
    Gassert, Roger
    Werth, Esther
    Lambercy, Olivier
    [J]. CHRONOBIOLOGY INTERNATIONAL, 2023, 40 (05) : 557 - 568
  • [9] Automatic Sleep-Wake Detection using Electrooculogram Signals
    Malaekah, Emad
    Patti, Chanakya Reddy
    Cvetkovic, Dean
    [J]. 2014 IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 2014, : 724 - 728
  • [10] Sleep-wake detection using recurrence quantification analysis
    Parro, V. C.
    Valdo, L.
    [J]. CHAOS, 2018, 28 (08)