Multiple Physiological Parameters Research Articles

Fatigue assessment through non-invasive physiological monitoring in military performance: protocol for a systematic review

During military operations, soldiers often encounter extreme environmental, metabolic and neuropsychiatric conditions, which combined lead to a fatigue status that can cause serious physiological impairments, decreasing military performance on the battlefield. Comprehensive studies in realistically stressful environments are essential to expand the knowledge regarding the consequences of real-life stress exposure, facilitate development of operationally-useful techniques and promote the conception of improved treatments. Therefore, a systematic review is proposed to obtain relevant information about fatigue assessment through multiple physiological parameters in the military context, to focus on determining the associations between fatigue and physiological response in order to plan in the future adequate interventions to prevent related negative consequences. Thus, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) Statement, this systematic review protocol was elaborated in order to present adequate guidelines to develop a research that can provide appropriate results to fulfil the sought objective. Five databases will be accessed (SCOPUS, PubMed, Science Direct, Medline and Web of Science) and a total of 9 combinations of keywords will be used. This protocol is registered in PROSPERO under the code of PROSPERO CRD42018105833.

Swasth: an intelligent decision support diagnostic engine for congenital heart diseases

An intelligent decision support secure diagnostic engine covers the complex processes of early diagnosis, proper collection and management of health records by supervising and managing multiple physiological parameters in real time. This system performs data processing over the secure encrypted wireless platform and generates warning flags when rules are violated. Provision of remotely accesses of parameters through mobile platform allows doctors to observe patients’ condition continuously. The information repository and remote advisory are keen need of today’s’ world which are also incorporated into the system to facilitate and enhance public health surveillance. This framework is expected to satisfies the need of interoperability, user friendly environment, timely decision-making support for healthcare professionals.

Acute pain intensity monitoring with the classification of multiple physiological parameters

Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualitatively as a potential pain intensity index. On the basis of that, this study aims at developing a continuous pain monitoring method with the classification of multiple physiological parameters. Heart rate (HR), breath rate (BR), galvanic skin response (GSR) and facial surface electromyogram were collected from 30 healthy volunteers under thermal and electrical pain stimuli. The collected samples were labelled as no pain, mild pain or moderate/severe pain based on a self-reported visual analogue scale. The patterns of these three classes were first observed from the distribution of the 13 processed physiological parameters. Then, artificial neural network classifiers were trained, validated and tested with the physiological parameters. The average classification accuracy was 70.6%. The same method was applied to the medians of each class in each test and accuracy was improved to 83.3%. With facial electromyogram, the adaptivity of this method to a new subject was improved as the recognition accuracy of moderate/severe pain in leave-one-subject-out cross-validation was promoted from 74.9 ± 21.0 to 76.3 ± 18.1%. Among healthy volunteers, GSR, HR and BR were better correlated to pain intensity variations than facial muscle activities. The classification of multiple accessible physiological parameters can potentially provide a way to differentiate among no, mild and moderate/severe acute experimental pain.

Reliability analysis of a mini-instrument for simultaneous monitoring water content, deep tissue temperature, and hemodynamic parameters

Autoimmune diseases, congenital genetic diseases, cancer and other diseases originated by immune or genetic problems threaten public health. Gene/cell therapy is a highlighted potential method for the treatment of these diseases. But it causes cytokine storm, which probably triggers multiple organ failure, acute respiratory distress syndrome and so on. In this work, a novel device for monitoring multiple physiological parameters response to cytokine storm is designed. Some measures are taken to make custom device have better sensitivity, specificity and robustness, including utilization of twisted-pair line, design of 50 Hz trap filter, and utilization of voltage follower. Several reliability tests of this device are conducted, which includes sensitivity test, stability test and pre-clinical experiments. The results of these reliability tests demonstrate that custom device has good sensitivity, stability and reliability and potential for measuring human physiological parameters.

Basic leucine zipper transcription factor SlbZIP1 mediates salt and drought stress tolerance in tomato

BackgroundBasic region/leucine zipper (bZIP) transcription factors perform as crucial regulators in ABA-mediated stress response in plants. Nevertheless, the functions for most bZIP family members in tomato remain to be deciphered.ResultsHere we examined the functional characterization of SlbZIP1 under salt and drought stresses in tomato. Silencing of SlbZIP1 in tomato resulted in reduced expression of multiple ABA biosynthesis- and signal transduction-related genes in transgenic plants. In stress assays, SlbZIP1-RNAi transgenic plants exhibited reduced tolerance to salt and drought stresses compared with WT plants, as are evaluated by multiple physiological parameters associated with stress responses, such as decreased ABA, chlorophyll contents and CAT activity, and increased MDA content. In addition, RNA-seq analysis of transgenic plants revealed that the transcription levels of multiple genes encoding defense proteins related to responses to abiotic stress (e.g. endochitinase, peroxidases, and lipid transfer proteins) and biotic stress (e.g. pathogenesis-related proteins) were downregulated in SlbZIP1-RNAi plants, suggesting that SlbZIP1 plays a role in regulating the genes related to biotic and abiotic stress response.ConclusionsCollectively, the data suggest that SlbZIP1 exerts an essential role in salt and drought stress tolerance through modulating an ABA-mediated pathway, and SlbZIP1 may hold potential applications in the engineering of salt- and drought-tolerant tomato cultivars.

Elevated high‐sensitive troponin T in negative stress test individuals

The exercise ECG stress test (EST) is still the first step of work-up in intermediate risk patients in many clinical scenarios. High-sensitive cardiac troponin T (hs-cTnT) elevation is related to future cardiovascular events in the general population and in patients with ischaemic heart disease. The relation between these 2 tests is not well described. A total of 2780 participants from the Tel-Aviv Medical Center Inflammation Survey cohort (mean age 49 years, 79% men) were analysed. Multiple physiologic and metabolic parameters including hs-cTnT were collected. All participants completed an EST manually reviewed by a cardiologist. A positive EST was documented in 224 subjects (8%). The majority (91%) of participants with hs-cTnT levels of 5-14 ng/L had a negative EST as well as 89.3% of subjects with levels >14 ng/L. The proportion of subjects with a positive EST and detectable hs-cTnT levels (>5 ng/L) was not significantly greater compared to those with a negative EST (53.1% vs 46.2%, respectively, P = .09). Among subjects referred for EST as part of an annual health survey, we found no significant association between EST results to hs-cTnT detection.

PlantSize Offers an Affordable, Non-destructive Method to Measure Plant Size and Color in Vitro.

Plant size, shape and color are important parameters of plants, which have traditionally been measured by destructive and time-consuming methods. Non-destructive image analysis is an increasingly popular technology to characterize plant development in time. High throughput automatic phenotyping platforms can simultaneously analyze multiple morphological and physiological parameters of hundreds or thousands of plants. Such platforms are, however, expensive and are not affordable for many laboratories. Moreover, determination of basic parameters is sufficient for most studies. Here we describe a non-invasive method, which simultaneously measures basic morphological and physiological parameters of in vitro cultured plants. Changes of plant size, shape and color is monitored by repeated photography with a commercial digital camera using neutral white background. Images are analyzed with the MatLab-based computer application PlantSize, which simultaneously calculates several parameters including rosette size, convex area, convex ratio, chlorophyll and anthocyanin contents of all plants identified on the image. Numerical data are exported in MS Excel-compatible format. Subsequent data processing provides information on growth rates, chlorophyll and anthocyanin contents. Proof-of-concept validation of the imaging technology was demonstrated by revealing small but significant differences between wild type and transgenic Arabidopsis plants overexpressing the HSFA4A transcription factor or the hsfa4a knockout mutant, subjected to different stress conditions. While HSFA4A overexpression was associated with better growth, higher chlorophyll and lower anthocyanin content in saline conditions, the knockout hsfa4a mutant showed hypersensitivity to various stresses. Morphological differences were revealed by comparing rosette size, shape and color of wild type plants with phytochrome B (phyB-9) mutant. While the technology was developed with Arabidopsis plants, it is suitable to characterize plants of other species including crops, in a simple, affordable and fast way. PlantSize is publicly available (http://www.brc.hu/pub/psize/index.html).

Physiological and biochemical responses involved in water deficit tolerance of nitrogen-fixing Vicia faba.

Climate change is increasingly impacting the water deficit over the world. Because of drought and the high pressure of the rising human population, water is becoming a scarce and expensive commodity, especially in developing countries. The identification of crops presenting a higher acclimation to drought stress is thus an important objective in agriculture. The present investigation aimed to assess the adaptation of three Vicia faba genotypes, Aguadulce (AD), Luz d’Otonio (LO) and Reina Mora (RM) to water deficit. Multiple physiological and biochemical parameters were used to analyse the response of the three genotypes to two soil water contents (80% and 40% of field capacity). A significant lower decrease in shoot, root and nodule dry weight was observed for AD compared to LO and RM. The better growth performance of AD was correlated to higher carbon and nitrogen content than in LO and RM under water deficit. Leaf parameters such as relative water content, mass area, efficiency of photosystem II and chlorophyll and carotenoid content were significantly less affected in AD than in LO and RM. Significantly higher accumulation of proline was correlated to the higher performance of AD compared to LO and RM. Additionally, the better growth of AD genotype was related to an important mobilisation of antioxidant enzyme activities such as ascorbate peroxidase and catalase. Taken together, these results allow us to suggest that AD is a water deficit tolerant genotype compared to LO and RM. Our multiple physiological and biochemical analyses show that nitrogen content, leaf proline accumulation, reduced leaf hydrogen peroxide accumulation and leaf antioxidant enzymatic activities (ascorbate peroxidase, guaiacol peroxidase, catalase and polyphenol oxidase) are potential biological markers useful to screen for water deficit resistant Vicia faba genotypes.

Effects of the antidepressant, mianserin, on early development of fish embryos at low environmentally relevant concentrations

Pharmaceuticals have been considered as emerging organic contaminants in the environment that might pose huge risk to the non-target aquatic organisms. Mianserin, a tetracyclic antidepressant, is present at low detectable concentrations in the aquatic environment; however, limited attention has been devoted to its potential adverse effects on the aquatic animals. In the present study, we first performed an acute toxicity test for mianserin exposure using zebrafish (Danio rerio) embryos during 4–124h post fertilization (hpf). Time-dependent lethal concentrations of mianserin exposure on the zebrafish embryos were firstly determined at mg/L levels. Then, a series of sublethal concentrations of 0.01, 0.1, 1, 10, 100, and 1000μg/L of mianserin were prepared for the short-term exposure of zebrafish embryos for 120h. The results showed that mianserin exposure reduced the body length of zebrafish larvae, in addition to altering multiple physiological and biochemical parameters in the exposed embryos/larvae. A dose-dependent inhibition of the total antioxidant capacity and total cholinesterase activity was revealed in the exposed fish larvae upon increasing the concentrations of mianserin exposure. A U-shaped concentration-dependent response curve was observed for the adrenocorticotropic hormone; however, an inversed U-shaped response curve was obtained for the monoamine oxidase level in response to mianserin exposure. Activities of the total adenosine triphosphatase (T-ATPase), Na+/K+-ATPase, and Ca2+/Mg2+-ATPase were significantly increased in the fish larvae exposed to relatively high doses of mianserin; interestingly however, low dose of mianserin at 10ng/L inhibited their Na+/K+-ATPase and T-ATPase activities. Additionally, the coordinated regulation of cyclic adenosine monophosphate and protein kinase A was observed in the mianserin-exposed fish larvae, implying a reserved signaling pathway involved in the fish response to the antidepressant. Therefore, our study demonstrated that mianserin exposure significantly affected the early development of fish embryos at environmentally relevant concentrations, and suggested that the risk of pharmaceutical contamination of the aquatic environment, even at low doses, should receive more attention.

Novel Adjunct Drugs Reverse Endothelial Glycocalyx Damage After Hemorrhagic Shock in Rats.

There is interest in the small-volume therapeutic use of adjunct drugs for treating hemorrhagic shock (HS). However, critical information is only partially available on mechanisms of action of promising compounds such as adenosine-lidocaine-magnesium (ALM), beta-hydroxybutyrate plus melatonin (BHB/M), and poloxamer 188 (P-188). Therefore, we tested the hypothesis that these adjuncts would reverse HS-induced damage to microvascular endothelial glycocalyx and hemodynamics. After baseline, 40% of total blood volume was removed from 44 anesthetized Sprague-Dawley male rats. One hour after hemorrhage, animals were resuscitated using ALM, BHB/M, or P-188 followed by lactated Ringer's (LR, 15 mL/kg). Control animals were not treated (SHAM) or received LR alone. Sampled blood was used to quantify shed syndecan-1 in plasma; multiple systemic physiological parameters were recorded. In vivo glycocalyx thickness, microvascular permeability, and microhemodynamics were evaluated in >200 cremaster venules using intravital videomicroscopy. Compared with baseline, resuscitation using adjuncts was associated with glycocalyx restoration of 97 ± 9% (ALM), 75 ± 8% (BHB/M), and 85 ± 5% (P-188): significantly higher than LR-only (56 ± 4%). Significantly better permeability, similar to SHAM values, was measured after ALM and P-188, and low plasma syndecan-1 levels were measured after resuscitation with all adjuncts. Microhemodynamic changes were relatively small while systemic parameters such as mean arterial pressure and lactate improved but remained below or above the baseline, respectively, as expected from this hypotensive resuscitation model. The drugs ALM, BHB/M, and P-188 provide beneficial effects as adjuncts to hypotensive resuscitation in this HS model by mechanisms involving changes at the microvascular level including the glycocalyx.

Physiological Parameter Response to Variation of Mental Workload.

Objective:To examine the relationship between experienced mental workload and physiological response by noninvasive monitoring of physiological parameters.Background:Previous studies have examined how individual physiological measures respond to changes in mental demand and subjective reports of workload. This study explores the response of multiple physiological parameters and quantifies their added value when estimating the level of demand.Method:The study presented was conducted in laboratory conditions and required participants to perform a visual-motor task that imposed varying levels of demand. The data collected consisted of physiological measurements (heart interbeat intervals, breathing rate, pupil diameter, facial thermography), subjective ratings of workload (Instantaneous Self-Assessment Workload Scale [ISA] and NASA-Task Load Index), and the performance.Results:Facial thermography and pupil diameter were demonstrated to be good candidates for noninvasive workload measurements: For seven out of 10 participants, pupil diameter showed a strong correlation (R values between .61 and .79 at a significance value of .01) with mean ISA normalized values. Facial thermography measures added on average 47.7% to the amount of variability in task performance explained by a regression model. As with the ISA ratings, the relationship between the physiological measures and performance showed strong interparticipant differences, with some individuals demonstrating a much stronger relationship between workload and performance measures than others.Conclusion:The results presented in this paper demonstrate that physiological and pupil diameter can be used for noninvasive real-time measurement of workload.Application:The methods presented in this article, with current technological capabilities, are better suited for workplaces where the person is seated, offering the possibility of being applied to pilots and air traffic controllers.

Pediatric Functional Magnetic Resonance Imaging: Clinical Applications

AbstractTask-based functional magnetic resonance imaging (fMRI) is an imaging technique based on blood oxygenation level-dependent imaging. Maps of brain activation are generated during the performance of designated tasks involving eloquent functions, such as motor, sensory, visual, auditory, and/or language. Optimal performance of fMRI in children requires consideration of multiple psychological and physiological parameters. Also, a solid technical understanding is needed for appropriate study design, implementation, processing, and interpretation. In this article, the authors review the key principles of fMRI technique, study design, data processing, and interpretation. The important clinical applications in the pediatric population will be highlighted, accompanied by example cases from their institution.

A global analysis of plant recovery performance from water stress

Plant post‐drought recovery performance is essential to predict shifts in ecosystem dynamics and production during frequent climate change‐driven drought events. Yet, it is not clear how post‐drought recovery is related to evolutionary and geographic variations in plants. In this study, we generated a global data set of post‐drought recovery performance in 140 plant species from published studies. We quantified the plant post‐drought recovery performance by calculating a recovery index for multiple plant physiological and hydraulic parameters, including leaf water potential, net photosynthetic rate, leaf hydraulic conductance and shoot biomass. The magnitude of recovery among four plant functional types (deciduous angiosperms, evergreen angiosperms, gymnosperms, and crops), two plant growth forms (shrubs and trees), two water management strategies (isohydric and anisohydric), four xylem porosity types (diffuse, ring, semi‐ring and tracheid), and four major biomes (dry sclerophyll forest, boreal forest, temperate forest and tropical/subtropical forest) were compared. We found the inability to completely recover immediately after severe water stress is ubiquitous across all plant functional types and growth forms, while the rate and magnitude of post‐drought recovery varied greatly across different plant taxonomic categories and geographic ranges. In general, plant hydraulic architecture, leaf anatomy and physiology affect plants’ propensity towards recovery, and reflect evolutionary consequences of plant adaptation to their habitat. Due to the essential role of plant functional traits in regulating carbon storage in each biome, a better understanding plant post‐drought recovery performance could improve our predictions on ecosystem productivity in a rapidly changing climate.

Sex difference in the risk for exercise-induced albuminuria correlates with hemoglobin A1C and abnormal exercise ECG test findings

BackgroundAlbuminuria is an established marker for endothelial dysfunction and cardiovascular risk in diabetes and prediabetes. Exercise induced albuminuria (EiA) appears earlier and may be a more sensitive biomarker for renal endothelial damage. We sought to examine the association between EiA, parameters of the metabolic syndrome, A1C levels, exercise ECG test results and sex related differences in a large cohort of healthy, pre-diabetic and diabetic subjects.MethodsA total of 3029 participants from the Tel-Aviv Medical Center Inflammation Survey cohort (mean age 46 years, 73% men) were analyzed. Multiple physiologic and metabolic parameters including A1C were collected and albuminuria was measured in all subjects before and immediately after completing an exercise ECG test.ResultsExercise increased urinary albumin to creatinine ratio (ΔEiA) by 2.8 (0–13.6) mg/g for median (IQR) compared to rest albuminuria (p < 0.001). An increase in ΔEiA was observed with accumulating parameters of the metabolic syndrome. ΔEiA showed significant interaction with sex and A1C levels; i.e. women with A1C > 6.5% had an increased risk of higher ΔEiA (p < 0.001). Using a cutoff of ΔEiA > 13 mg/g (top quartile) we found that women with ΔEiA > 13 mg/g were at greater risk for abnormal exercise ECG findings, (OR = 2.7, p = 0.001).ConclusionExercise promotes excessive urinary albumin excretion in dysmetabolic patients. In women, a significant correlation exists between ΔEiA and A1C levels. A cutoff of ΔEiA > 13 mg/g in women may be used to identify populations at risk for abnormal exercise ECG test findings and perhaps increased cardiovascular risk. Future studies will be needed to further validate the usefulness of ΔEiA as a biomarker for cardiovascular risk in women with and without diabetes.

Multi-Agent Based Software Architecture for Remote Health Monitoring

Objectives: Multi agent Architecture is a recent advancement in software engineering that focuses on improving performance of software packages and tools in varying applications. Methods/Statistical Analysis: Large number of architectures have been proposed for remote health monitoring applications which include data collection from remote patients and monitoring the condition. There is little work done on software systems monitoring multiple patients with multi-parametric approach from remote locations efficiently and faster. This paper presents a multi-agent architecture to monitor concurrently multiple physiological parameters of multiple patients situated at remote places. The architecture proposes three types of software agents such as patient controller interface agent, controller agent and server agent. Real time system can be scaled up to any number of patients being monitored for any variable number of physiological parameters. It is time critical application as the patients being monitored need immediately attention or treatment. Findings: For validating the proposed architecture the data has been collected for Temperature, blood pressure of patients and software agents designed were implemented and tested under multiple combinations of number of parameters and the patients. The test results proved that the proposed architecture is useful for efficient and quick monitoring of severely diseased people from remote places. Application/Improvements Tele-monitoring is widely used in a range of applications such as natural calamities like disaster, floods etc. *Author for correspondence Indian Journal of Science and Technology, Vol 10(35), DOI: 10.17485/ijst/2017/v10i35/118954, September 2017 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Keywords: Arduino, Multi Agent Architecture, Remote Health Monitoring, Software Engineering, Telemedicine

Interactive Mobile Health Monitoring System

Health monitoring system is an active application in pervasive and ubiquitous computing. It is an application of mobile computing technology for enhancing communication among health care workers, physicians and patients with a view to provide better health care system. Recent elevation in sensors, wireless communication and low-power integrated circuits has empowered the design of pocket size, light weight, low-cost, and interactive bio-sensor nodes. These nodes are seamlessly integrated for mobile health monitoring using wireless body area network which can sense, process and communicate one or more vital parameters. The proposed system, through mobile device can provide patient health parameters (such as temperature, heart rate and ECG) to medical server, care taker and to medical practitioner based on the biomedical and environmental data collected by deployed sensors. In this system, multiple physiological parameters are incorporated for monitoring as against one or two parameters in legacy system. In this paper hardware, software and implementation of system is discussed whereas the focus is on authentication, power consumption, accuracy in transmission of health parameters to medical server.

Refrigerated platelets stored in whole blood up to 5 days adhere to thrombi formed during hemorrhagic hypotension in rats

Background There is renewed interest in the therapeutic use of cold-stored platelets for bleeding patients. However, critical information is absent or partially available in vitro. Therefore, thrombus formation and platelet adhesion were studied in vivo, in situ, using bleeding and thrombosis models in instrumented rats, and confocal intravital videomicroscopy. Objectives We tested the hypothesis that refrigerated (4 °C) platelets (stored for 24 h or 5 days) participated in thrombus formation as well as platelets stored at room temperature (RT, 22 °C). This hypothesis was tested in normovolemia and hemorrhagic hypotension. Methods & Results After fluorescently-labeled platelet infusion, endothelial injury and vessel rupture were laser-induced in cremaster microvessels and platelet adhesion in > 230 developing thrombi was evaluated. Blood samples were collected for biochemistry and coagulation assays while multiple systemic physiologic parameters were recorded. Hemorrhagic hypotension study animals were subjected to 40% hemorrhage, leading to hypotension and hemodilution, during in vivo platelet adhesion assessments. The fluorescence intensity associated with labeled platelet adherence provided a quantitative index of adhesion. Cold-stored platelets performed as well as those stored at RT in normovolemic animals. During hypotension, cold-stored platelets still performed as well as RT-stored platelets, whereas platelet adhesion and thrombus formation were increased relative to normovolemic animals, in bleeding model experiments. Conclusions We found the methodology suitable for evaluating platelet function in vivo after different storage conditions in fully monitored animals. Refrigerated platelets (stored up to 5 days) participated as well as RT-stored platelets in thrombi formed after hemorrhage, suggesting that refrigerated platelets are effective during hypotensive situations.

A survey of remote patient monitoring systems for the measurement of multiple physiological parameters

In rural areas, people die at their early ages because of lack of proper facilities and infrastructure for monitoring patient’s health at the right time. Therefore, the design and development of a Remote Patient Monitoring System (RPMS) has a lot of significance in the scientific community and industry for the last few years. Nowadays, researchers give importance to wearable low cost RPMS which measure the body parameters in real time by using non invasive methods. This paper attempts to comprehensively review the current status of research and development of RPMS which measures physiological parameters continuously and sends the data to the healthcare professionals wirelessly in real time. The aim of this survey is to provide a reference for researchers and developers in this area to give direction for future research improvements.

Flexible carbon nanotube nanocomposite sensor for multiple physiological parameter monitoring

The paper presents the design, development, and fabrication of a flexible and wearable sensor based on carbon nanotube nanocomposite for monitoring specific physiological parameters. Polydimethylsiloxane (PDMS) was used as the substrate with a thin layer of a nanocomposite comprising functionalized multi-walled carbon nanotubes (MWCNTs) and PDMS as electrodes. The sensor patch functionalized on strain-sensitive capacitive sensing from interdigitated electrodes which were patterned with a laser on the nanocomposite layer. The thickness of the electrode layer was optimized regarding strain and conductivity. The sensor patch was connected to a monitoring device from one end and attached to the body on the other for examining purposes. Experimental results show the capability of the sensor patch used to detect respiration and limb movements. This work is a stepping stone of the sensing system to be developed for multiple physiological parameters.

0148 Associations between multiple activity and physiological parameters around the time of disease diagnosis and calving in Holstein cows

0148 Associations between multiple activity and physiological parameters around the time of disease diagnosis and calving in Holstein cows