Motion Detectors as Additional Monitoring Devices in the Intensive Care Unit-A Proof-of-Concept Study

被引:0
作者
Gueder, Guelmisal [1 ,2 ]
von Rein, Eva [1 ]
Flohr, Thomas [1 ]
Weismann, Dirk [1 ]
Schmitt, Dominik [1 ]
Stoerk, Stefan [1 ,2 ]
Frantz, Stefan [1 ,2 ]
Kratzer, Vincent [3 ]
Kendi, Christian [3 ]
机构
[1] Univ Hosp Wurzburg, Dept Internal Med 1, Cardiol Div, D-97080 Wurzburg, Germany
[2] Univ Hosp Wurzburg, Comprehens Heart Failure Ctr, Dept Clin Res & Epidemiol, D-97078 Wurzburg, Germany
[3] IRON Software GmbH, D-82031 Grunwald, Germany
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 16期
关键词
motion detector; noncontact monitoring; Internet of Things devices; ALARM FATIGUE; DELIRIUM;
D O I
10.3390/app13169319
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Background: Monitoring the vital signs of delirious patients in an intensive care unit (ICU) is challenging, as they might (un-)intentionally remove devices attached to their bodies. In mock-up scenarios, we systematically assessed whether a motion detector (MD) attached to the bed may help in identifying emergencies. Methods: We recruited 15 employees of the ICU and equipped an ICU bed with an MD (IRON Software GmbH, Grunwald, Germany). Participants were asked to replay 22 mock-up scenes of one-minute duration each: 12 scenes with movements and 10 without movements, of which 5 were emergency scenes ("lying dead-still, with no or very shallow breathing"). Blinded recordings were presented to an evaluation panel consisting of an experienced ICU nurse and a physician, who was asked to assess and rate the presence of motions. Results: Fifteen participants (nine women; 173 +/- 7.0 cm; 78 +/- 19 kg) joined the study. In total, 286 out of 330 scenes (86.7%) were rated correctly. Ratings were false negative (FN: "no movements detected, but recorded") in 7 out of 180 motion scenes (3.9%). Ratings were false positive (FP: "movements detected, but not recorded") in 37 out of 150 scenes (24.7%), more often in men than women (26 out of 60 vs. 11 out of 90, respectively; p < 0.001). Of note, in 16 of these 37 FP-rated scenes, a vibrating mobile phone was identified as a potential confounder. The emergency scenes were correctly rated in 64 of the 75 runs (85.3%); 10 of the 11 FP-rated scenes occurred in male subjects. Conclusions: The MD allowed for identifying motions of test subjects with high sensitivity (96%) and acceptable specificity (75%). Accuracy might increase further if activities are recorded continuously under real-world conditions.
引用
收藏
页数:15
相关论文
共 41 条
  • [1] Antink Christoph Hoog, 2019, Yearb Med Inform, V28, P102, DOI 10.1055/s-0039-1677914
  • [2] Deriving Multiple-Layer Information from a Motion-Sensing Mattress for Precision Care
    Bai, Dorothy
    Ho, Mu-Chieh
    Mathunjwa, Bhekumuzi M.
    Hsu, Yeh-Liang
    [J]. SENSORS, 2023, 23 (03)
  • [3] Alarm Fatigue Linked to Patient's Death
    Wallis, Laura
    [J]. AMERICAN JOURNAL OF NURSING, 2010, 110 (07) : 16 - 16
  • [4] Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital
    Bonafide, Christopher P.
    Lin, Richard
    Zander, Miriam
    Graham, Christian Sarkis
    Paine, Christine W.
    Rock, Whitney
    Rich, Andrew
    Roberts, Kathryn E.
    Fortino, Margaret
    Nadkarni, Vinay M.
    Localio, A. Russell
    Keren, Ron
    [J]. JOURNAL OF HOSPITAL MEDICINE, 2015, 10 (06) : 345 - 351
  • [5] Video and audio processing in paediatrics: a review
    Cabon, S.
    Poree, F.
    Simon, A.
    Rosec, O.
    Pladys, P.
    Carrault, G.
    [J]. PHYSIOLOGICAL MEASUREMENT, 2019, 40 (02)
  • [6] Cvach Maria, 2012, Biomed Instrum Technol, V46, P268, DOI 10.2345/0899-8205-46.4.268
  • [7] Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit
    Davoudi, Anis
    Shickel, Benjamin
    Tighe, Patrick James
    Bihorac, Azra
    Rashidi, Parisa
    [J]. FRONTIERS IN DIGITAL HEALTH, 2022, 4
  • [8] Investigating the application of motion accelerometers as a sleep monitoring technique and the clinical burden of the intensive care environment on sleep quality: study protocol for a prospective observational study in Australia
    Delaney, Lori J.
    Currie, Marian J.
    Huang, Hsin-Chia Carol
    Litton, Edward
    Wibrow, Bradley
    Lopez, Violeta
    Van Haren, Frank
    [J]. BMJ OPEN, 2018, 8 (01):
  • [9] Video-based physiologic monitoring: promising applications for the ICU and beyond
    Diao, James A.
    Marwaha, Jayson S.
    Kvedar, Joseph C.
    [J]. NPJ DIGITAL MEDICINE, 2022, 5 (01)
  • [10] Dodge Y., 2008, The Concise Encyclopedia of Statistics, P337