Implementation of a non-contact method for monitoring the patient's breathing and heartbeat during a magnetotherapy session

2021 ◽  
Author(s):  
S.G. Gurzhin ◽  
V.L. Nguyen
Keyword(s):  
Personal Computer ◽  
Continuous Monitoring ◽  
Physiological State ◽  
Virtual Instruments ◽  
Diagnostic Tools ◽  
Contact Method ◽  
Treatment Technique ◽  
Large Set ◽  
Web Camera ◽  
Development Application

Nowadays, it is becoming especially important to use in clinical practice non-contact automated methods and hardware and software for the prompt obtaining of objective diagnostic information about the current physiological state of the patient during physiotherapy sessions. In particular, in magnetotherapy, there is a need for continuous monitoring of the patient's body responses to magnetic effects, so that the doctor can visually observe the dynamics of the normalization of the patient's vital signs, quickly assess the effectiveness of the treatment technique and, if possible, correct biotropic parameters. The problem is that today there are no non-contact diagnostic tools that can work together with magnetotherapy equipment under the control of a single computer and promptly present a large set of diagnostic indicators to the doctor in real time. An important feature and advantage of the proposed method is the use of publicly available standard and certified hardware tools for building a monitoring system: a personal computer, a web camera, a mouse, and a USB interface. The functions of a sensor or primary measuring transducer are performed by a webcam with high sensitivity and resolution. The original software is in the form of virtual instruments in the LabVIEW environment and the Vison Development application. As a result of this development, it became possible to flexibly control both the process of formation and reproduction of magnetic therapy effects and the process of automatic control of the patient's physiological state during a therapy session. Rapid assessment of diagnostic indicators also allows not only objectively, documenting and quantitatively confirming the level of effectiveness of each treatment session, but also serves the doctor with timely information to correct the method of exposure. Purpose – to show the possibility of implementing a non-contact method for monitoring the patient's breathing and heartbeat process, on-line assessment of diagnostic indicators using standard and publicly available hardware and software. A method has been developed and an algorithm has been implemented for non-contact monitoring of the patient's respiration and heartbeat on the basis of a personal computer, web camera, virtual instruments of the LabVIEW library and the Vison Development application. It is shown that the algorithm fully meets the requirements for computer vision algorithms: robustness, accuracy, and computational feasibility. The algorithm provides stability of video information conversion processes to significant distortions and changing factors, elimination of errors in object positioning or false detection, as well as a quick search for an object and a targeted organization of the image analysis process. Practical significance. The introduction of the developed hardware and software into the systems of complex magnetotherapy «Multimag» and «Relaxmag» will significantly increase the effectiveness of treatment due to the operational and continuous monitoring of the functional state of the patient and an objective assessment of a number of diagnostic indicators.

Computer system for metrological testing of location sensors used to monitor the patient's condition in magnetotherapy

2021 ◽  
Author(s):  
S.G. Gurzhin ◽  
V.L. Nguyen ◽  
A.V. Shulyakov
Keyword(s):  
Personal Computer ◽  
Physiological State ◽  
Objective Assessment ◽  
Metrological Certification ◽  
Linear Displacement ◽  
Operating Conditions ◽  
The Body ◽  
Measuring Instruments ◽  
Virtual Device ◽  
The Law

Non-contact monitoring of vital signs of a person is a reliable and safe way of promptly obtaining objective diagnostic information about the current physiological state of a patient during surgical operations, physiotherapeutic procedures or during sleep. The absence of direct contact of the sensors with the patient's body makes it possible to exclude the influence of a number of interfering factors, such as a violation or weakening of contact, which can lead to a deterioration in the quality of signals from the output of the sensors, a long-term location of the sensors on the body can have a psychological effect on the patient, changing his condition and thereby distorting the treatment method, etc. In order for the results of monitoring and diagnostics to be reliable and guaranteed accurate, it is necessary to carry out periodic metrological certification of location sensors, especially since many of them are of foreign production and their characteristics are either not standardized or do not meet the requirements of their operating conditions. Therefore, the tasks of developing methods and means for carrying out metrological tests of non-contact sensors for medical purposes are becoming urgent. Purpose – to show the possibility of implementing automated metrological tests of location sensors for medical use based on a personal computer and publicly available standard hardware and software. A method has been developed and implemented for conducting metrological tests of location sensors based on a personal computer, a digital dynamic measure of linear displacement, virtual measuring instruments, laser and ultrasonic sensors, as well as determining conversion errors in the LabVIEW environment. As an exemplary measuring instrument, it is proposed to use a webcam with a virtual device for recording the law of displacement in the LabVIEW Vison Development application. Full-scale experiments have been carried out, in which, using a digital measure of linear displacement, it is possible to reproduce with high accuracy almost any law of displacement and to regulate its informative parameters. Real movement signals were received with the help of virtual devices, recorded by two location sensors and a web camera. The errors of the means of registration are determined in comparison with the given digital method and analytically the law of movement. Introduction of the developed method and hardware and software for metrological certification of sensors of diagnostic channels of the systems of complex magnetotherapy «Multimag» and «Relaxmag». Carrying out automated metrological tests of sensors will ensure prompt, reliable and objective control of their actual characteristics, which means it will increase the effectiveness of treatment due to the prompt and continuous monitoring of the patient's functional state and an objective assessment of a number of important indicators.

Implantable Monitors – Recent Developments

2010 ◽  
Vol 6 (3) ◽  
pp. 83
Author(s):  
Philipp Sommer ◽  
Gerhard Hindricks ◽  
◽  
Keyword(s):  
Continuous Monitoring ◽  
Detection Algorithm ◽  
Diagnostic Tools ◽  
Cardiac Monitor ◽  
Monitoring Strategies ◽  
Number Of Patients ◽  
Recent Developments ◽  
Detection Capabilities ◽  
Performance Trial

For many years implantable cardiac monitors have proved to be helpful diagnostic tools for illuminating mechanisms of syncopes and documenting symptomatic arrhythmias in selected patients. With an increasing number of patients being treated interventionally for atrial fibrillation (AF), continuous rhythm monitoring with implantable devices can help to address several unsolved questions in this field, such as the true AF burden after an ablation procedure, the percentage of completely asymptomatic recidives and the long-term efficacy of catheter ablation, and can thereby influence the timing for discontinuation of antiarrhythmic drug treatment or even oral anticoagulation. The recently published Reveal® XT Performance Trial (XPECT) quantified the performance of the first implantable cardiac monitor with dedicated AF detection capabilities. In this validation study the AF detection algorithm was proved to deliver reliable detection of the presence or absence of AF. In addition, the AF burden could be reliably assessed and quantified. In the future, continuous monitoring strategies may be helpful to overcome the shortcomings of non-continuous monitoring and may be able to better document AF recurrence, identify the type of recurrence and document the burden of AF.

A LOW-COST VISION-BASED HUMAN-COMPUTER INTERFACE FOR PEOPLE WITH SEVERE DISABILITIES

2005 ◽  
Vol 17 (06) ◽  
pp. 284-292 ◽  
Author(s):  
MU-CHUN SU ◽  
SHI-YONG SU ◽  
GWO-DONG CHEN
Keyword(s):  
Personal Computer ◽  
Low Cost ◽  
People With Disabilities ◽  
Severe Disabilities ◽  
Head Movements ◽  
Computer Interface ◽  
Human Computer Interface ◽  
Web Camera

The object of this paper is to present a low-lost vision-based computer interface which allows people with disabilities to use their head movements to manipulate computers. Our system requires only one low-cost web camera and a personal computer. Several experiments were conducted to test the performance of the proposed human-computer interface.

scholarly journals Graph representation forecasting of patient's medical conditions: towards a digital twin

2020 ◽  
Author(s):  
Pietro Barbiero ◽  
Ramon Viñas Torné ◽  
Pietro Lió
Keyword(s):  
Physiological State ◽  
Computational Modelling ◽  
Molecular Data ◽  
Modern Medicine ◽  
Graph Representation ◽  
Large Set ◽  
Learning Approaches ◽  
Proof Of Concept ◽  
Generative Adversarial Network ◽  
Digital Twin

Objective: Modern medicine needs to shift from a wait and react, curative discipline to a preventative, interdisciplinary science aiming at providing personalised, systemic and precise treatment plans to patients. The aim of this work is to present how the integration of machine learning approaches with mechanistic computational modelling could yield a reliable infrastructure to run probabilistic simulations where the entire organism is considered as a whole. Methods: We propose a general framework that composes advanced AI approaches and integrates mathematical modelling in order to provide a panoramic view over current and future physiological conditions. The proposed architecture is based on a graph neural network (GNNs) forecasting clinically relevant endpoints (such as blood pressure) and a generative adversarial network (GANs) providing a proof of concept of transcriptomic integrability. Results: We show the results of the investigation of pathological effects of overexpression of ACE2 across different signalling pathways in multiple tissues on cardiovascular functions. We provide a proof of concept of integrating a large set of composable clinical models using molecular data to drive local and global clinical parameters and derive future trajectories representing the evolution of the physiological state of the patient. Significance: We argue that the graph representation of a computational patient has potential to solve important technological challenges in integrating multiscale computational modelling with AI. We believe that this work represents a step forward towards a healthcare digital twin.

scholarly journals SELF-EFFICACY, MONITORING, EVALUATION AND WRITING

2018 ◽  
Vol 8 (2) ◽  
pp. 9-12
Author(s):  
JANA ADÁMKOVÁ
Keyword(s):  
Qualitative Research ◽  
Secondary School ◽  
Self Efficacy ◽  
Continuous Monitoring ◽  
Diagnostic Tools ◽  
Research Activity ◽  
Educative Process

This study brings results of the first phase of research probe that monitors relation between the metacognition of pupils of secondary school and level of their writing. Qualitative research probe is focused on the pupils aged 14 to 15 and is based on the continuous monitoring of individual pupils. During the research, respondents worked with several monitoring and diagnostic tools. Research activity had also anexperimental nature and supported pedagogical-educative process among the monitored group of pupils – it significantly influenced course of the classes (respecting the processual nature of writing) and approach to particular pupils, mainly within the area of diagnostics and evaluation.

scholarly journals Performance assessment of 11 commercial serological tests for SARS-CoV-2 on hospitalized COVID-19 patients

2020 ◽  
Author(s):  
Claudia Serre-Miranda ◽  
Claudia Nobrega ◽  
Susana Roque ◽  
Joao Canto-Gomes ◽  
Carolina S Silva ◽  
...  
Keyword(s):  
Immune Response ◽  
Severe Acute Respiratory Syndrome ◽  
Continuous Monitoring ◽  
Clinical Presentation ◽  
High Specificity ◽  
Diagnostic Tools ◽  
Genetic Evolution ◽  
Serological Tests ◽  
Molecular Approaches ◽  
Severe Clinical Presentation

Commercial availability of serological tests to evaluate immunoglobulins (Ig) towards severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has grown exponentially since the onset of COVID-19 outbreak. Their thorough validation is of extreme importance before using them as epidemiological tools to infer population seroprevalence, and as complementary diagnostic tools to molecular approaches (e.g. RT-qPCR). Here we assayed commercial serological tests (semiquantitative and qualitative) from 11 suppliers in 126 samples collected from hospitalized COVID-19 patients, and from 36 healthy and HIV-infected individuals (collected at the pre-COVID-19 pandemic). Specificity was above 95% in 9 tests. Samples from COVID-19 patients were stratified by days since symptoms onset (<10, 10-15, 16-21 and >21 days). Tests sensitivity increases with time since symptoms onset, and peaks at 16-21 days for IgM and IgA (maximum: 91.2%); and from 16-21 to >21 days for IgG, depending on the test (maximum: 94.1%). Data from semiquantitative tests show that patients with severe clinical presentation have lower relative levels of IgM, IgA and IgG at <10 days since symptoms onset in comparison to patients with non-severe presentation. At >21 days since symptoms onset the relative levels of IgM and IgG (in one test) are significantly higher in patients with severe clinical presentation, suggesting a delay in the upsurge of Ig against SARS-CoV-2 in those patients. This study highlights the high specificity of most of the evaluated tests, and sensitivity heterogeneity. Considering the virus genetic evolution and population immune response to it, continuous monitoring of commercially available serological tests towards SARS-CoV-2 is necessary.

scholarly journals Current Trends of Microfluidic Single-Cell Technologies

2018 ◽  
Vol 19 (10) ◽  
pp. 3143 ◽  
Author(s):  
Pallavi Shinde ◽  
Loganathan Mohan ◽  
Amogh Kumar ◽  
Koyel Dey ◽  
Anjali Maddi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Physiological State ◽  
Cell Manipulation ◽  
Diagnostic Tools ◽  
Current Trends ◽  
Disease Mechanisms ◽  
Cell Technologies ◽  
Cell Measurement ◽  
Therapeutics Development

The investigation of human disease mechanisms is difficult due to the heterogeneity in gene expression and the physiological state of cells in a given population. In comparison to bulk cell measurements, single-cell measurement technologies can provide a better understanding of the interactions among molecules, organelles, cells, and the microenvironment, which can aid in the development of therapeutics and diagnostic tools. In recent years, single-cell technologies have become increasingly robust and accessible, although limitations exist. In this review, we describe the recent advances in single-cell technologies and their applications in single-cell manipulation, diagnosis, and therapeutics development.

Continuous Monitoring of Bladder Pressure in Dogs in a Completely Physiological State

1987 ◽  
Vol 60 (5) ◽  
pp. 428-432 ◽  
Author(s):  
K. TAKAYAMA ◽  
M. TAKEI ◽  
T. SOEJIMA ◽  
J. KUMAZAWA
Keyword(s):  
Continuous Monitoring ◽  
Physiological State ◽  
Bladder Pressure

scholarly journals Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria

2021 ◽  
pp. 193229682199790
Author(s):  
Jessica Hanae Zafra-Tanaka ◽  
David Beran ◽  
Beatrice Vetter ◽  
Rangarajan Sampath ◽  
Antonio Bernabe-Ortiz
Keyword(s):  
Scoping Review ◽  
Resource Constraints ◽  
Glucose Monitoring ◽  
Communicable Diseases ◽  
Diagnostic Tools ◽  
Large Set ◽  
Middle Income ◽  
Self Monitoring ◽  
Middle Income Countries ◽  
Monitoring Tools

Background: Self-management is an important pillar for diabetes control and to achieve it, glucose self-monitoring devices are needed. Currently, there exist several different devices in the market and many others are being developed. However, whether these devices are suitable to be used in resource constrained settings is yet to be evaluated. Aims: To assess existing glucose monitoring tools and also those in development against the REASSURED which have been previously used to evaluate diagnostic tools for communicable diseases. Methods: We conducted a scoping review by searching PubMed for peer-review articles published in either English, Spanish or Portuguese in the last 5 years. We selected papers including information about devices used for self-monitoring and tested on humans with diabetes; then, the REASSURED criteria were used to assess them. Results: We found a total of 7 continuous glucose monitoring device groups, 6 non-continuous, and 6 devices in development. Accuracy varied between devices and most of them were either invasive or minimally invasive. Little to no evidence is published around robustness, affordability and delivery to those in need. However, when reviewing publicly available prices, none of the devices would be affordable for people living in low- and middle-income countries. Conclusions: Available devices cannot be considered adapted for use in self-monitoring in resource constraints settings. Further studies should aim to develop less-invasive devices that do not require a large set of components. Additionally, we suggest some improvement in the REASSURED criteria such as the inclusion of patient-important outcomes to increase its appropriateness to assess non-communicable diseases devices.

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