In Vivo Evaluation of Two Hemorrhagic Shock Resuscitation Controllers with Non-Invasive, Intermittent Sensors

被引:0
作者
Rodgers, Tina M. [1 ]
Berard, David [1 ]
Gonzalez, Jose M. [1 ]
Vega, Saul J. [1 ]
Gathright, Rachel [1 ]
Bedolla, Carlos [1 ]
Ross, Evan [1 ]
Snider, Eric J. [1 ]
机构
[1] US Army Inst Surg Res, Organ Support & Automat Technol Grp, JBSA Ft Sam Houston, San Antonio, TX 78234 USA
来源
BIOENGINEERING-BASEL | 2024年 / 11卷 / 12期
基金
美国国家卫生研究院;
关键词
controller; closed loop; hemorrhage; resuscitation; machine learning; photoplethysmography; non-invasive; animal study;
D O I
10.3390/bioengineering11121296
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Hemorrhage is a leading cause of preventable death in military and civilian trauma medicine. Fluid resuscitation is the primary treatment option, which can be difficult to manage when multiple patients are involved. Traditional vital signs needed to drive resuscitation therapy being unavailable without invasive catheter placement is a challenge. To overcome these obstacles, we propose using closed-loop fluid resuscitation controllers managed by non-invasive, intermittent signal sensor inputs to simplify their use in far-forward environments. Using non-invasive, intermittent sensor controllers will allow quicker medical intervention due to negating the need for an arterial catheter to be placed for pressure-guided fluid resuscitation. Two controller designs were evaluated in a swine hemorrhagic shock injury model, with each controller only receiving non-invasive blood pressure (NIBP) measurements simulated from invasive input signals every 60 s. We found that both physiological closed-loop controllers were able to effectively resuscitate subjects out of life-threatening hemorrhagic shock using only intermittent data inputs with a resuscitation effectiveness of at least 95% for each respective controller. We also compared this intermittent signal input to a NIBP cuff and to a deep learning model that predicts blood pressure from a photoplethysmography waveform. Each approach showed evidence of tracking blood pressure, but more effort is needed to refine these non-invasive input approaches. We conclude that resuscitation controllers hold promise to one day be capable of non-invasive sensor input while retaining their effectiveness, expanding their utility for managing patients during mass casualty or battlefield conditions.
引用
收藏
页数:20
相关论文
共 49 条
  • [1] Hemorrhage control in the battlefield: Role of new hemostatic agents
    Alam, HB
    Burris, D
    DaCorta, JA
    Rhee, P
    [J]. MILITARY MEDICINE, 2005, 170 (01) : 63 - 69
  • [2] Vital sign thresholds predictive of death in the combat setting
    April, Michael D.
    Becker, Tyson E.
    Fisher, Andrew D.
    Naylor, Jason F.
    Schauer, Steven G.
    [J]. AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2021, 44 : 423 - 427
  • [3] An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach
    Athaya, Tasbiraha
    Choi, Sunwoong
    [J]. SENSORS, 2021, 21 (05) : 1 - 18
  • [4] Non-Invasive Blood Pressure Sensing via Machine Learning
    Attivissimo, Filippo
    D'Alessandro, Vito Ivano
    De Palma, Luisa
    Lanzolla, Anna Maria Lucia
    Di Nisio, Attilio
    [J]. SENSORS, 2023, 23 (19)
  • [5] Dual Input Fuzzy Logic Controllers for Closed Loop Hemorrhagic Shock Resuscitation
    Berard, David
    Vega, Saul J.
    Avital, Guy
    Snider, Eric J.
    [J]. PROCESSES, 2022, 10 (11)
  • [6] Facial injury management undertaken a US and UK medical treatment facilities during the Iraq and Afghanistan conflicts: a retrospective cohort study
    Breeze, John
    Bowley, Douglas M.
    Combes, James G.
    Baden, James
    Rickard, Rory F.
    DuBose, Joseph
    Powers, David B.
    [J]. BMJ OPEN, 2019, 9 (11):
  • [7] Damage Control Resuscitation
    Cap, Andrew P.
    Pidcoke, Heather F.
    Spinella, Philip
    Strandenes, Geir
    Borgman, Matthew A.
    Schreiber, Martin
    Holcomb, John
    Tien, Homer Chin-Nan
    Beckett, Andrew N.
    Doughty, Heidi
    Woolley, Tom
    Rappold, Joseph
    Ward, Kevin
    Reade, Michael
    Prat, Nicolas
    Ausset, Sylvain
    Kheirabadi, Bijan
    Benov, Avi
    Griffin, Edward P.
    Corley, Jason B.
    Simon, Clayton D.
    Fahie, Roland
    Jenkins, Donald
    Eastridge, Brian J.
    Stockinger, Zsolt
    [J]. MILITARY MEDICINE, 2018, 183 : 36 - 43
  • [8] EVALUATION OF OSCILLOMETRIC BLOOD PRESSURE MEASUREMENT USING A FINGER CUFF IN ANESTHETIZED CHIMPANZEES (PAN TROGLODYTES)
    Cassady, Katherine R.
    Balko, Julie A.
    Bailey, Kate M.
    Posner, Lysa P.
    Robertson, James B.
    Minter, Larry J.
    [J]. JOURNAL OF ZOO AND WILDLIFE MEDICINE, 2023, 54 (01) : 16 - 22
  • [9] Blood Pressure Measurement Device Accuracy Evaluation: Statistical Considerations with an Implementation in R
    Chandel, Tanvi
    Miranda, Victor
    Lowe, Andrew
    Lee, Tet Chuan
    [J]. TECHNOLOGIES, 2024, 12 (04)
  • [10] Committee for the Update of the Guide for the Care and Use of Laboratory Animals, 1986, GUIDE CARE USE LAB A