Publications

Mathematical models of cardiovascular control by the autonomic nervous system

As a working control system, with diverse feedback and feedforward loops interfering with each other, our integrative model is key to understanding paradoxical phenomena such as vagally-mediated tachycardia, fluctuation of sinoatrial rhythms on denervated heart, Mayer waves, and tonic activity of sympathetic premotor pacemaker neurons. The model extensively covers cardiovascular neural pathways including a wide range of afferent sensory neurons, central processing by autonomic premotor neurons, efferent outputs via preganglionic and postganglionic autonomic neurons, and dynamics of neurotransmitters at cardiovascular effectors organs.

Tutorial for Modeling and Simulation of Biological Processes

A great practical step-by-step approach to mathematical modeling, identifiability analysis, parameters
estimation, sensibility analysis, dynamical system identification, and optimal experimental design. These concepts are illustrated with pharmacokinetics models and models of population dynamics. Advanced topics are covered using examples of mathematical models of cardiovascular mechanics, autonomic control of heart rate, neuron action potential, and electrocardiogram.

Cardiac Autonomic Tests: Experimental Setups For Clinical Trials Kindle Edition

This book describes the most common cardiac autonomic tests (cold face test, oculocardiac reflex test, deep breath test, mental stress test, sustained hand grip, Valsalva maneuver) including their physiological background, indications, the possible experimental subjects with contraindications, the entry conditions which should be fulfilled before the subject is allowed to take the test, the instrumentation, the activities flow performed during the test, the exceptions which might cause test interruption, examples of normal cardiac signals plots, examples of pathological cardiac plots.

Assessing the Level of Autonomic Nervous Activity for Effective Biofeedback Training

This paper proposes a prototype of a new biofeedback training based on mathematical models of cardiovascular control. For this purpose, we develop a low-cost device that is able to record and process arterial pulse waves via photoplethysmograph and skin temperature on the peripheral part of the arm. A benchmark analysis of our device against a registered cardiovascular measurement system (Biopac MP35 from Biopac Inc., USA) shows that heart rate and skin temperature values delivered by our device are acceptable with a very low residual error (+/-1 beat/min, +/-1 oC).

Estimation of Sympathetic and Parasympathetic Level during Orthostatic Stress Using Artificial Neural Networks

This study deals with the development of a new method to quantify the effect of orthostatic stress on the cardiovascular system. Orthostatic hypotension in healthy subjects triggers the baroreflex, which induces increased sympathetic activity and decreased parasympathetic activity. We performed a tilt-table test on 19 healthy subjects while measuring electrocardiogram, galvanic skin resistance, and blood pressure signals. We developed a method for inverse parameters identification using artificial neural networks to fit the experimental data and identify physiological parameters (sympathetic and parasympathetic levels).

Mathematical model-based markers of autonomic nervous activity during the Valsalva Maneuver and comparison to heart rate variability

This work exhibits limitations of some time-frequency markers of heart rate variability (SDNN: standard deviation of normal-to-normal intervals, RMSSD: root mean square successive difference of normal-to-normal intervals, LF: the power of low-frequency components 0.015–0.15 Hz, HF: the power of high-frequency components 0.15–0.4 Hz) as a tool for assessing autonomic nervous activity on the cardiovascular system during the Valsalva Maneuver (VM) and proposes a new approach based on a physiologically based mathematical model.

A Web-Based Software Package for Clinical Cardiac Autonomic Tests

We developed a software package for the management and evaluation of non-invasive cardiac autonomic tests. These tests aim to investigate human cardiovascular function and autonomic nervous control. Our system offers user-friendly features for managing patients and autonomic tests; uploading measured cardiovascular signals and performing statistical evaluations. An additional modeling and simulation component includes basic mathematical models and offers means for performing parameter estimation fitting the experimental data. Tests of acceptance by doctors and researchers demonstrated the potential of the package as a computer-aided diagnostic and research tool.

Autoencoder For Denoising Images

The correct understanding of image messages can be crucial in areas like medicine. Denoising can be focused on cleaning old scanned images or contribute to feature selection efforts in cancer biology. The presence of noise may confuse the identification and analysis of diseases which may result in unnecessary deaths. Hence, denoising of medical images is a mandatory and essential pre-processing technique.

How AI Can See Better Than Your Eyes Do

In this article, we introduce convolution neural networks and the key ideas in modern computer vision. We explore how to stack several layers with hundreds of neurons that learn low-level features in images. We motivate our quest by first looking at how vision works in mammals. Providing sensing capabilities to computers has a significant impact on societies. Nowadays camera systems capture real-time images of the world to enable groundbreaking applications such as autonomous driving and telehealth.

5 Secrets About LSTM and GRU Everyone Else Knows

We explain why Long Short Term Memory (LSTM) has been so effective and popular for processing sequence data for natural language processing. LSTMs have transformed machine learning and are now available to billions of users through the world’s most valuable public companies like Google, Amazon, and Facebook.

"Immersively.care enables a deeply appreciative, naturalistic, and non-pathologizing encounter. This allows anyone to experience their innate capabilities to heal."

Wilcox T.Family Therapist

"Immersively.care helps organizations of any size conduct one-on-one meetings, which are truly one-on-one. We find it very user-friendly even for first-time users. The layer with emotion and attention is quite impressive. Especially with all the security in place."

Debbie F.Cyber Security Manager

"We can now meet with our prospects while gauging their level of interest. Behavioral data allows them to freely share how they feel about our services from a safe place. This creates greater flexibility in personalizing our offer!"

Cecile D.Founder & CEO, Food Industry

Ready to give it a try?

Onboarding our technology is extremely fast and easy.

Step 1 - sign up and log in
Step 2 - click on "Meet Now"
Step 3 - invite your guest

Start for free

DigIntu Tech Ltd

Hermanova 61

17000 Prague

Czech Republic

EU VAT-ID CZ05233518

Registered in Commercial Register with the Municipal Court in Prague, section C, folder 260406.

Sign up for newsletter

Thank You, we'll be in touch soon.

COMPANY

External websites:

TECHNOLOGY

Confidentiality & privacy

Health Data Measurement

USE CASES

FEATURES

Health data analytics

Conversational analytics

FEATURES

Accessibility support

COMING

Virtual backgrounds

Stress level tracking

Blood pressure tracking

Oxygen level tracking

Breathing rate tracking

Terms of Service | Privacy Policy

Share Share Tweet Pin

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Publications

Mathematical models of cardiovascular control by the autonomic nervous system

Tutorial for Modeling and Simulation of Biological Processes

Cardiac Autonomic Tests: Experimental Setups For Clinical Trials Kindle Edition

Assessing the Level of Autonomic Nervous Activity for Effective Biofeedback Training

Estimation of Sympathetic and Parasympathetic Level during Orthostatic Stress Using Artificial Neural Networks

Mathematical model-based markers of autonomic nervous activity during the Valsalva Maneuver and comparison to heart rate variability

A Web-Based Software Package for Clinical Cardiac Autonomic Tests

Autoencoder For Denoising Images

How AI Can See Better Than Your Eyes Do

5 Secrets About LSTM and GRU Everyone Else Knows

Ready to give it a try?

Onboarding our technology is extremely fast and easy.

Step 1 - sign up and log inStep 2 - click on "Meet Now"Step 3 - invite your guest

Step 1 - sign up and log in
Step 2 - click on "Meet Now"
Step 3 - invite your guest