Wearable systems for monitoring the health condition of soldiers: Review and application

Kutílek, Patrik; Volf, Petr; Vítečková, Slávka; Smrčka, Pavel; Křivánek, Václav; Lhotská, Lenka; Hána, Karel; Doskocil, Radek; Navrátil, Václav; Hon, Zdeněk; Štefek, Alexandr

doi:10.1109/miltechs.2017.7988856

Cited by 17 publications

(8 citation statements)

References 8 publications

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“…Numerous studies and shock management guidelines have described the importance of early intervention in preventing deleterious, lasting damage from hypovolemic shock. [26][27][28] In addition, the effect of LBNP on CRM was not different between the CRM obtained from PPG PO and CRM obtained from PPG VC (Fig. 4), indicating that CRM from PPG PO is equally capable of determining hypovolemia as that of PPG VC .…”

Section: Validity Of the Crm From Pulse Oximetrymentioning

confidence: 84%

Physiologic validation of the Compensatory Reserve Metric obtained from pulse oximetry: A step toward advanced medical monitoring on the battlefield

Roden,

Webb,

Pruter

et al. 2024

J Trauma Acute Care Surg

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BACKGROUND The Compensatory Reserve Metric (CRM) provides a time sensitive indicator of hemodynamic decompensation. However, its in-field utility is limited due to the size and cost-intensive nature of standard vital sign monitors or photoplethysmographic volume-clamp (PPGVC) devices used to measure arterial waveforms. In this regard, photoplethysmographic measurements obtained from pulse oximetry (PPGPO) may serve as a useful, portable alternative. This study aimed to validate CRM values obtained using PPGPO. METHODS Forty-nine healthy adults (25 females) underwent a graded lower body negative pressure (LBNP) protocol to simulate hemorrhage. Arterial waveforms were sampled using PPGPO and PPGVC. The CRM was calculated using a one-dimensional convolutional neural network. Cardiac output and stroke volume were measured using PPGVC. A brachial artery catheter was used to measure intraarterial pressure. A 3-lead ECG was used to measure heart rate. Fixed-effect linear mixed models with repeated measures were used to examine the association between CRM values and physiologic variables. Log-rank analyses were used to examine differences in shock determination during LBNP between monitored hemodynamic parameters. RESULTS The median LBNP stage reached was 70 mmHg (Range: 45-100 mmHg). Relative to baseline, at tolerance there was a 47±12% reduction in stroke volume, 64±27% increase in heart rate, and 21±7% reduction in systolic blood pressure (P<0.001 for all). CRM values obtained with both PPGPO and PPGVC were associated with changes in heart rate (P<0.001), stroke volume (P<0.001), and pulse pressure (P<0.001). Furthermore, they provided an earlier detection of hemodynamic shock relative to the traditional metrics of shock index (P<0.001 for both), systolic blood pressure (P<0.001 for both), and heart rate (P=0.001 for both). CONCLUSION The CRM obtained from PPGPO provides a valid, time-sensitized prediction of hemodynamic decompensation, opening the door to provide military medical personnel noninvasive in-field advanced capability for early detection of hemorrhage and imminent onset of shock. LEVEL OF EVIDENCE Diagnostic Tests or Criteria, Level IV.

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Section: Validity Of the Crm From Pulse Oximetrymentioning

confidence: 84%

Physiologic validation of the Compensatory Reserve Metric obtained from pulse oximetry: A step toward advanced medical monitoring on the battlefield

Roden,

Webb,

Pruter

et al. 2024

J Trauma Acute Care Surg

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“…Vývoji takovýchto technologií se věnuje také Fakulta biomedicínského inženýrství, ČVUT v Praze, a to v kontextu záznamu a hodnocení zdravotní kondice personálu např. složek AČR [1], přičem vývoj těchto systémů je založen na technologiích využívaných v klinické praxi či rehabilitaci [2]. Mezi vykonávané profese na Zemi, které jsou blízké charakteru vesmírným aplikacím patří profese v kontextu aeronautiky: piloti [3], [4], řídící letového provozu [5], členové protivzdušné obrany [6], atp.…”

Section: úVodunclassified

Telemedicínský systém pro analogové mise a vesmírné aplikace: Aktuální stav a budoucnost vývoje

Kutílek,

Hýbl,

Volf

et al. 2023

Proceedings of Trendy v Biomedicínském Inženýrství

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“…There are several sensors within a range of physiological indicators, including heart rate sensors, respiratory rate sensors, blood pressure sensors, pulse oximetry sensors, acoustic sensors, temperature sensors, galvanic skin response sensors, and perspiration sensors. The list and properties of these suitable wearable sensors are described in detail in [ 97 ].…”

Section: Current Sensing Technologiesmentioning

confidence: 99%

Lower Limb Exoskeleton Sensors: State-of-the-Art

Neťuková

Bejtic

Mala

et al. 2022

Sensors

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Due to the ever-increasing proportion of older people in the total population and the growing awareness of the importance of protecting workers against physical overload during long-time hard work, the idea of supporting exoskeletons progressed from high-tech fiction to almost commercialized products within the last six decades. Sensors, as part of the perception layer, play a crucial role in enhancing the functionality of exoskeletons by providing as accurate real-time data as possible to generate reliable input data for the control layer. The result of the processed sensor data is the information about current limb position, movement intension, and needed support. With the help of this review article, we want to clarify which criteria for sensors used in exoskeletons are important and how standard sensor types, such as kinematic and kinetic sensors, are used in lower limb exoskeletons. We also want to outline the possibilities and limitations of special medical signal sensors detecting, e.g., brain or muscle signals to improve data perception at the human–machine interface. A topic-based literature and product research was done to gain the best possible overview of the newest developments, research results, and products in the field. The paper provides an extensive overview of sensor criteria that need to be considered for the use of sensors in exoskeletons, as well as a collection of sensors and their placement used in current exoskeleton products. Additionally, the article points out several types of sensors detecting physiological or environmental signals that might be beneficial for future exoskeleton developments.

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Wearable systems for monitoring the health condition of soldiers: Review and application

Cited by 17 publications

References 8 publications

Physiologic validation of the Compensatory Reserve Metric obtained from pulse oximetry: A step toward advanced medical monitoring on the battlefield

Physiologic validation of the Compensatory Reserve Metric obtained from pulse oximetry: A step toward advanced medical monitoring on the battlefield

Telemedicínský systém pro analogové mise a vesmírné aplikace: Aktuální stav a budoucnost vývoje

Lower Limb Exoskeleton Sensors: State-of-the-Art

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