scholarly journals Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6675
Author(s):  
Szymon Sieciński ◽  
Paweł S. Kostka ◽  
Ewaryst J. Tkacz
Keyword(s):  
Heart Rate ◽  
Invasive Technique ◽  
Heart Rate Variability Analysis ◽  
Additional Insight ◽  
Microelectromechanical System ◽  
Non Invasive ◽  
Current State ◽  
Definition Of ◽  
Insight Into

Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of the cardiac cycle. In this review, we describe the summary of the history, definition, measurements, waveform description and applications of gyrocardiography. The review was conducted on about 55 works analyzed between November 2016 and September 2020. The aim of this literature review was to summarize the current state of knowledge in gyrocardiography, especially the definition, waveform description, the physiological and physical sources of the signal and its applications. Based on the analyzed works, we present the definition of GCG as a technique for registration and analysis of rotational component of local cardiac vibrations, waveform annotation, several applications of the gyrocardiography, including, heart rate estimation, heart rate variability analysis, hemodynamics analysis, and classification of various cardiac diseases.

scholarly journals The effects of acute oxygen changes on heart rate in the freshwater crab Poppiana dentata (Randall, 1840)

2020 ◽  
Vol 48 (3) ◽  
pp. 480-487
Author(s):  
Delezia Shivani Singh ◽  
Mary Alkins-Koo ◽  
Luke Victor Rostant ◽  
Azad Mohammed
Keyword(s):  
Heart Rate ◽  
Invasive Technique ◽  
Cardiac Physiology ◽  
Low Oxygen ◽  
Heart Rates ◽  
Oxygen Levels ◽  
Non Invasive ◽  
Hypoxic Conditions ◽  
Cardiac Responses ◽  
Insight Into

Heart rate is a key physiological feature that can be used to assess the response of organisms to changing environmental conditions in aquatic habitats, such as acute fluctuations in oxygen levels and hypoxic conditions. This experiment, therefore, investigated cardiac responses in a freshwater brachyuran species, Poppiana dentata, exposed to low oxygen levels. Heart rate was derived from beats per minute (bpm) signals (n = 576) using an infrared, non-invasive technique over a 96 h period, under different dissolved oxygen (DO) conditions. These involved three regimes: normoxic (6.8 ± 0.1 mg L-1), decreasing DO to hypoxic levels (6.2 to 1.7 mg L-1), and recovery with normoxic levels (6.3 ± 0.1 mg L-1). Changes in heart rates among the three regimes were significant (P < 0.05); reflecting the shift in heart rate during different conditions of oxygen availability, normoxic (59 to 61 bpm), declining DO (54 to 62 bpm) and recovery DO (53 to 64 bpm). Additionally, the normal rhythmicity of heart rates under the normoxic condition was not maintained throughout most of the declining DO and recovery periods. P. dentata has demonstrated cardiac compensations in heart rate during low oxygen levels, providing insight into the species cardiac physiology.

Classification of Infant Vocalizations by Untrained Listeners

2019 ◽  
Vol 62 (9) ◽  
pp. 3265-3275
Author(s):  
Heather L. Ramsdell-Hudock ◽  
Anne S. Warlaumont ◽  
Lindsey E. Foss ◽  
Candice Perry
Keyword(s):  
Formal Education ◽  
Additional Insight ◽  
Listener Responses ◽  
Infant Vocalization ◽  
Early Infant ◽  
Infant Vocalizations ◽  
Audio Recordings ◽  
Speech And Language Development ◽  
Insight Into

Purpose To better enable communication among researchers, clinicians, and caregivers, we aimed to assess how untrained listeners classify early infant vocalization types in comparison to terms currently used by researchers and clinicians. Method Listeners were caregivers with no prior formal education in speech and language development. A 1st group of listeners reported on clinician/researcher-classified vowel, squeal, growl, raspberry, whisper, laugh, and cry vocalizations obtained from archived video/audio recordings of 10 infants from 4 through 12 months of age. A list of commonly used terms was generated based on listener responses and the standard research terminology. A 2nd group of listeners was presented with the same vocalizations and asked to select terms from the list that they thought best described the sounds. Results Classifications of the vocalizations by listeners largely overlapped with published categorical descriptors and yielded additional insight into alternate terms commonly used. The biggest discrepancies were found for the vowel category. Conclusion Prior research has shown that caregivers are accurate in identifying canonical babbling, a major prelinguistic vocalization milestone occurring at about 6–7 months of age. This indicates that caregivers are also well attuned to even earlier emerging vocalization types. This supports the value of continuing basic and clinical research on the vocal types infants produce in the 1st months of life and on their potential diagnostic utility, and may also help improve communication between speech-language pathologists and families.

Fertilization state ofAscaris suumdetermined by electrorotation

2006 ◽  
Vol 80 (1) ◽  
pp. 25-31 ◽  
Author(s):  
C. Dalton ◽  
A.D. Goater ◽  
H.V. Smith
Keyword(s):  
Dielectric Properties ◽  
Physicochemical Properties ◽  
Parasitic Nematode ◽  
Invasive Technique ◽  
Non Invasive ◽  
Egg Morphology ◽  
Parasite Biology ◽  
Response Modelling ◽  
Non Destructive ◽  
Insight Into

AbstractElectrorotation is a non-invasive technique that is capable of detecting changes in the morphology and physicochemical properties of microorganisms. The first detailed electrorotation study of the egg (ovum) of a parasitic nematode, namelyAscaris suumis described to show that electrorotation can rapidly differentiate between fertilized and non-fertilized eggs. Support for this conclusion is by optical microscopy of egg morphology, and also from modelling of the electrorotational response. Modelling was used to determine differences in the dielectric properties of the unfertilized and fertilized eggs, and also to investigate specific differences in the spectra of fertilized eggs only, potentially reflecting embryogenesis. The potential of electrorotation as an investigative tool is shown, as undamaged eggs can be subjected to further non-destructive and destructive techniques, which could provide further insight into parasite biology and epidemiology.

scholarly journals Acquisition and Analysis System of the Ballistocardiogram Signal Based on Virtual Instruments

2011 ◽  
Vol 2-3 ◽  
pp. 595-598
Author(s):  
Fang Fang Jiang ◽  
Xu Wang ◽  
Dan Yang ◽  
Yu Hao
Keyword(s):  
Heart Rate ◽  
Cardiac Function ◽  
Real Time ◽  
High Efficiency ◽  
Virtual Instruments ◽  
Invasive Technique ◽  
Operational Environment ◽  
Respiration Frequency ◽  
Non Invasive ◽  
Analysis System

Ballistocardiogram signal (BCG) is a non-invasive technique for the assessment of the cardiac function. It consists mainly of heart movement and the movement of blood in aorta, arteries, and periphery, which can be used to real-time monitor the heart rate and respiration frequency at home. In our laboratory, a sitting BCG detection chair has been designed successfully, and the acquisition and analysis system based on virtual instruments is proposed in this paper. MATLAB7.0 and LabVIEW8.5 were used to simulate the operational environment, and the results show high efficiency and accuracy in displaying waveform and spectrum, extracting main characteristics of heart rate and respiratory frequency, and alerting when abnormal heart-rate occurs.

scholarly journals Recognition of Unlawful Behavior of Unknown Persons Inclined to Committing Offenses in Social Isolation Places

2019 ◽  
Vol 10 (3) ◽  
Author(s):  
Marina Kaluzhina ◽  
Boris Spasennikov ◽  
Alina Lebedeva
Keyword(s):  
Social Isolation ◽  
Criminal Behavior ◽  
Penal System ◽  
Abstract Model ◽  
Digital Environment ◽  
Institutional Control ◽  
Current State ◽  
Modeling And Forecasting ◽  
Definition Of

Based on the analysis of the current state of the penal system, the article analyzes present-day approaches in the system of tools for understanding unlawful manifestations of pre-criminal behavior in places of social isolation. It states the importance of traditional methods of operational and investigative diagnostics and operational and investigative identification in obtaining primary information regarding the objects of operational interest. According to the criteria of the criminal encroachment object and the degree of importance of the relations protected by the criminal law, which could be damaged if an offense is committed in terms of social isolation, the article carries out an analysis and offers a classification of the objects that need to be monitored by the operational and institutional control. The article analyses the possibilities of specific characteristics of the digital environment, innovative modeling and forecasting methods that underlie the construction of an abstract model of pre-criminal behavior. On the basis of a comparative analysis of working with the big data, it substantiates the necessity of integrating the existing types of recordings into an entire system. It emphasizes the importance of criminological knowledge in the technology of operational recognition and formulates the definition of recognition of unlawful behavior of an unidentified person in places of social isolation.

scholarly journals On direct sequential analysis of heart rate variability signals

2005 ◽  
Vol 13 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Dragana Bajic ◽  
Tatjana Loncar-Turukalo ◽  
Olijandra Sibarevic
Keyword(s):  
System Theory ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sequential Analysis ◽  
Regulatory System ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
New Methods ◽  
Analytical Tools ◽  
Insight Into

Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system. The analysis includes traditional statistical analytical tools and a number of new methods based on nonlinear system theory, recently developed to give better insight into complex HR. This paper introduces a direct sequential analysis.

The local budget subsidy dependence: Identification and classification

2020 ◽  
Vol 26 (5) ◽  
pp. 1099-1117
Author(s):  
M.R. Tashtamirov
Keyword(s):  
Current State ◽  
Original Definition ◽  
The Russian Federation ◽  
Dependence Level ◽  
Local Budget ◽  
Definition Of ◽  
Classification Of Regions ◽  
Regional Budgets ◽  
Federal Center

Subject. This article tends the approaches to identifying the category of subsidized budget in the Russian Federation and classifying the regions by level of their subsidy dependence. Objectives. The article aims to explore approaches to the interpretation of the category of subsidized budget, propose criteria for categorizing the regional budgets as the subsidy dependent ones, offer an original definition of the local budget subsidy dependence, and on this basis, classify the regions of Russia by level of subsidy dependence. Methods. For the study, I used the methods of comparative, logical, and statistical analyses, and grouping. Results. The article proposes an original definition of budget subsidy dependence and a classification of regions by subsidy dependence level. It also highlights the main problems of Russia's heavily subsidized regions. Conclusions and Relevance. The proposed identification and classification of subsidized regional budgets and analysis of their current state helped reveal the increasing financial dependence of regional budgets on Federal center grants. The results of the study can be used to further explore the area of modification of regulation of inter-budgetary relations based on the type of subsidization of Russia's regions.

scholarly journals Non- invasive technique using breath analysis for detection and classification of diabetes

2015 ◽  
Vol 4 (3) ◽  
pp. 460
Author(s):  
Lekha Srinivasan ◽  
Suchetha M.
Keyword(s):  
Clinical Care ◽  
Breath Analysis ◽  
Invasive Technique ◽  
Support Vector ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels ◽  
High Glucose Level ◽  
Viable Method

Diabetes, a metabolic disease that is characterized by high glucose level in the blood, is a major problem affecting millions of people today. This disease if left unchecked can create enormous implication on the health of the population. Among the various non-invasive methods of detection, breath analysis presents an easier, more accurate and viable method in providing comprehensive clinical care for the disease. This paper examines the concentration of acetone levels in breath for monitoring blood-glucose levels and thus predicting diabetes. The analysis uses the support vector mechanism to classify the response to healthy and diabetic samples. For the analysis, ten subject samples of acetone levels are taken into consideration and are classified according to three labels, which are healthy, type one diabetic and type two diabetic.

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