Motion Monitoring in Palliative Care Using Unobtrusive Bed Sensors

被引:0
|
作者
Holtzman, M. [1 ]
Goubran, R. [1 ,2 ]
Knoefel, F. [1 ,2 ,3 ]
机构
[1] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
[2] Elisabeth Bruyere Res Inst, Ottawa, ON K1N 5C8, Canada
[3] Bruyere Continuing Care, Ottawa, ON K1N 5C8, Canada
关键词
CANCER; DEATH;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Palliative care needs are growing with the aging population. Ambient sensors offer patients comfortable and discreet point-of-care monitoring. In this study, two palliative care participants were monitored in a sensorized bed. Motion monitoring by a two-tier gross and fine movement detector provided accurate detection and classification of movement, compared to annotations by an observer. However, ascribing the motion to the patient rather than caregivers or visitors would require supplemental sensors. Motion was indicative of pain, with 13% of time spent moving while in pain versus 3% while not noted as in pain.
引用
收藏
页码:5760 / 5763
页数:4
相关论文
共 50 条
  • [1] Detection of Movement in Bed Using Unobtrusive Load Cell Sensors
    Adami, Adriana M.
    Pavel, Misha
    Hayes, Tamara L.
    Singer, Clifford M.
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2010, 14 (02): : 481 - 490
  • [2] Unobtrusive Monitoring of Respiratory Variability in Palliative Care: A Small Case Series
    Holtzman, Megan
    Knoefel, Frank
    Pereira, Jose
    Goubran, Rafik
    JOURNAL OF PALLIATIVE CARE, 2012, 28 (03) : 219 - 219
  • [3] Unobtrusive Sensors for Synchronous Monitoring of Different Breathing Parameters in Care Environments
    Saied, Imran
    Alzaabi, Aaesha
    Arslan, Tughrul
    SENSORS, 2024, 24 (07)
  • [4] Monitoring Patients in Hospital Beds Using Unobtrusive Depth Sensors
    Banerjee, Tanvi
    Enayati, Moein
    Keller, James M.
    Skubic, Marjorie
    Popescu, Mihail
    Rantz, Marilyn
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 5904 - 5907
  • [5] A System for Unobtrusive Monitoring of Mobility in Bed
    Adami, Adriana M.
    Adami, Andre
    Singer, Clifford M.
    Hayes, Tamara L.
    Pavel, Misha
    CSE 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2008, : 13 - +
  • [6] Somnography using unobtrusive motion sensors and Android-based mobile phones
    Gradl, Stefan
    Leutheuser, Heike
    Kugler, Patrick
    Biermann, Teresa
    Kreil, Sebastian
    Kornhuber, Johannes
    Bergner, Matthias
    Eskofier, Bjoern
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 1182 - 1185
  • [7] An unobtrusive ambulatory knee function monitoring system using wearable inertial sensors
    Schulze, M.
    Lammel, C.
    Liu, T. H.
    Calliess, T.
    Bocklage, R.
    Seehaus, F.
    Gietzelt, M.
    Wolf, K. H.
    Windhagen, H.
    Marschollek, M.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2012, 57 : 359 - 359
  • [8] CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring
    Gyamenah, Pius
    Iyer, Hari
    Jeong, Heejin
    Guo, Shenghan
    SENSORS, 2025, 25 (04)
  • [9] In-Bed Mobility Monitoring Using Pressure Sensors
    Bennett, Stephanie
    Ren, Zhaofen
    Goubran, Rafik
    Rockwood, Kenneth
    Knoefel, Frank
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 64 (08) : 2110 - 2120
  • [10] Unobtrusive Sleep Monitoring using Smartphones
    Chen, Zhenyu
    Lin, Mu
    Chen, Fanglin
    Lane, Nicholas D.
    Cardone, Giuseppe
    Wang, Rui
    Li, Tianxing
    Chen, Yiqiang
    Choudhury, Tanzeem
    Campbell, Andrew T.
    PROCEEDINGS OF THE 2013 7TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE AND WORKSHOPS (PERVASIVEHEALTH 2013), 2013, : 145 - 152