This document describes the development of a dynamic model of blood circulation and pressure regulation. It involves modeling the heart as a flow source, modeling the vasculature as a linear graph with nodes for major arteries and veins, and deriving equations to describe pressure at each node based on compliance, resistance, and flow. The model does not include breathing effects and simulates a closed-loop system to study how the heart rate and arterial blood pressure respond to delayed signals from pressure receptors.
Control of Nonlinear Heartbeat Models under Time- Delay-Switched Feedback Usi...idescitation
In this paper, we adopt the Zeeman nonlinear heart model to discuss its stability
and control its operation using emotional learning control (ELC). We also demonstrate the
control of the heart model under threats of possible time delay introduced in the sensing
loop. We compare the robustness of the ELC with other control methods such as the
classical PID and the model predictive control (MPC) for the heart model under time delay
attack. We have showed that ELC is more robust than the classical PID and the MPC.
Study of Pneumatic Speed Control System with Friction Force CompensationIJRES Journal
In this paper, the mathematical model of pneumatic speed control system was established and
simulated through Matlab/Simulink. The conclusion that cylinder friction force must be compensated was
provided after analyzing the simulation results. Some performance of the system could be improved in low cost
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control.
Simulation, bifurcation, and stability analysis of a SEPIC converter control...IJECEIAES
This article presents some results of SEPIC converter dynamics when controlled by a center pulse width modulator controller (CPWM). The duty cycle is calculated using the ZAD (Zero Average Dynamics) technique. Results obtained using this technique show a great variety of non-linear phenomena such as bifurcations and chaos, as parameters associated with the switching surface. These phenomena have been studied in the present paper in numerical form. Simulations were done in MATLAB.
A Noninvasive Alternative to +dP/dtmax: Peak Aortic Blood AccelerationInsideScientific
During this webinar, sponsored by Indus Instruments, Dr. Anilkumar Reddy of the Baylor College of Medicine shows how peak acceleration of blood flow velocity in the ascending aorta can be used as a surrogate, noninvasive measurement to evaluate cardiac contractility. Importantly, this technique enables serial measurements in the same animal, leading to reduced animal-to-animal variability, fewer subjects and shorter data collection times.
Specifically, Dr. Reddy presents preliminary findings from his validation studies in mice, where peak aortic acceleration and peak +dP/dt were compared. He highlights the utility of the Doppler method showing how measurements of mitral inflow and myocardial perfusion capacity through coronary flow reserve can be used to noninvasively assess diastolic function. Furthermore, he presents specific examples of noninvasive cardiac measurements and discuss how they scale in translational research from mice to mammals.
Key topics covered during this webinar included:
- Evaluating cardiac contractility using peak aortic acceleration
- Investigating cardiac relaxation using mitral peak early velocity to peak atrial velocity ratio
- Interpreting myocardial perfusion capacity through coronary flow reserve at baseline and with disease or other conditions
- How Doppler Flow Velocity measurements can be used in translational research from mice to mammals
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...IJERA Editor
This paper explains that how to develop and design, control of single phase to three phase drive system. The
proposed topology of drive system consisting of two parallel connected rectifiers, inverter and induction motor,
connected through inductor and capacitor, where used to produce balanced output to the motor drive. The main
objective of this proposed method is to reduce the circulating currents and harmonic distortions at the converter
input side, here the control strategy of drive system is PWM (pulse width modulations techniques) control
strategy, the proposed topology also provides fault compensation in the case of short circuit faults and failure of
switches for uninterrupted Power supplies. We also develop and simulate the MATLAB models for proposed
drive system, by using MATLAB/ Simulink the output results simulate and observed.
Casson flow of blood through an arterial tube with overlapping stenosisiosrjce
The objective of the present analysis is to study the effect of overlapping stenosis on blood flow
through an artery by taking the blood as Casson type non-Newtonian fluid. The expressions for flux and
resistance to flow have been studied here by assuming the stenosis is to be mild. The results are shown
graphically for different values of yield stress, stenosis length, stenosis height and discussed.
Explore our infographic on 'Essential Metrics for Palliative Care Management' which highlights key performance indicators crucial for enhancing the quality and efficiency of palliative care services.
This visual guide breaks down important metrics across four categories: Patient-Centered Metrics, Care Efficiency Metrics, Quality of Life Metrics, and Staff Metrics. Each section is designed to help healthcare professionals monitor and improve care delivery for patients facing serious illnesses. Understand how to implement these metrics in your palliative care practices for better outcomes and higher satisfaction levels.
Control of Nonlinear Heartbeat Models under Time- Delay-Switched Feedback Usi...idescitation
In this paper, we adopt the Zeeman nonlinear heart model to discuss its stability
and control its operation using emotional learning control (ELC). We also demonstrate the
control of the heart model under threats of possible time delay introduced in the sensing
loop. We compare the robustness of the ELC with other control methods such as the
classical PID and the model predictive control (MPC) for the heart model under time delay
attack. We have showed that ELC is more robust than the classical PID and the MPC.
Study of Pneumatic Speed Control System with Friction Force CompensationIJRES Journal
In this paper, the mathematical model of pneumatic speed control system was established and
simulated through Matlab/Simulink. The conclusion that cylinder friction force must be compensated was
provided after analyzing the simulation results. Some performance of the system could be improved in low cost
through adding chatter signal to control signal to compensate cylinder friction force and combining with PID
control.
Simulation, bifurcation, and stability analysis of a SEPIC converter control...IJECEIAES
This article presents some results of SEPIC converter dynamics when controlled by a center pulse width modulator controller (CPWM). The duty cycle is calculated using the ZAD (Zero Average Dynamics) technique. Results obtained using this technique show a great variety of non-linear phenomena such as bifurcations and chaos, as parameters associated with the switching surface. These phenomena have been studied in the present paper in numerical form. Simulations were done in MATLAB.
A Noninvasive Alternative to +dP/dtmax: Peak Aortic Blood AccelerationInsideScientific
During this webinar, sponsored by Indus Instruments, Dr. Anilkumar Reddy of the Baylor College of Medicine shows how peak acceleration of blood flow velocity in the ascending aorta can be used as a surrogate, noninvasive measurement to evaluate cardiac contractility. Importantly, this technique enables serial measurements in the same animal, leading to reduced animal-to-animal variability, fewer subjects and shorter data collection times.
Specifically, Dr. Reddy presents preliminary findings from his validation studies in mice, where peak aortic acceleration and peak +dP/dt were compared. He highlights the utility of the Doppler method showing how measurements of mitral inflow and myocardial perfusion capacity through coronary flow reserve can be used to noninvasively assess diastolic function. Furthermore, he presents specific examples of noninvasive cardiac measurements and discuss how they scale in translational research from mice to mammals.
Key topics covered during this webinar included:
- Evaluating cardiac contractility using peak aortic acceleration
- Investigating cardiac relaxation using mitral peak early velocity to peak atrial velocity ratio
- Interpreting myocardial perfusion capacity through coronary flow reserve at baseline and with disease or other conditions
- How Doppler Flow Velocity measurements can be used in translational research from mice to mammals
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...IJERA Editor
This paper explains that how to develop and design, control of single phase to three phase drive system. The
proposed topology of drive system consisting of two parallel connected rectifiers, inverter and induction motor,
connected through inductor and capacitor, where used to produce balanced output to the motor drive. The main
objective of this proposed method is to reduce the circulating currents and harmonic distortions at the converter
input side, here the control strategy of drive system is PWM (pulse width modulations techniques) control
strategy, the proposed topology also provides fault compensation in the case of short circuit faults and failure of
switches for uninterrupted Power supplies. We also develop and simulate the MATLAB models for proposed
drive system, by using MATLAB/ Simulink the output results simulate and observed.
Casson flow of blood through an arterial tube with overlapping stenosisiosrjce
The objective of the present analysis is to study the effect of overlapping stenosis on blood flow
through an artery by taking the blood as Casson type non-Newtonian fluid. The expressions for flux and
resistance to flow have been studied here by assuming the stenosis is to be mild. The results are shown
graphically for different values of yield stress, stenosis length, stenosis height and discussed.
Explore our infographic on 'Essential Metrics for Palliative Care Management' which highlights key performance indicators crucial for enhancing the quality and efficiency of palliative care services.
This visual guide breaks down important metrics across four categories: Patient-Centered Metrics, Care Efficiency Metrics, Quality of Life Metrics, and Staff Metrics. Each section is designed to help healthcare professionals monitor and improve care delivery for patients facing serious illnesses. Understand how to implement these metrics in your palliative care practices for better outcomes and higher satisfaction levels.
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Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
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Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
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Agriculture: Engineering crops resistant to pests and harsh environments.
Research: Studying gene function to unlock new knowledge.
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Equity: High costs could limit access to this potentially life-saving technology.
The Path Forward: Responsible development is crucial:
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Prioritize Safety and Ethics: Safety and ethical principles must be paramount.
CRISPR offers a powerful tool for a better future, but responsible development and addressing ethical concerns are essential. By prioritizing safety, fostering open dialogue, and ensuring equitable access, we can harness CRISPR's power for the benefit of all. (2998 characters)
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
2. Problem: blood
pressure = MAP
“Mean” Arterial
Pressure
Static value
Solution: blood
circulation dynamic
model
MAP(t)
Dynamic value
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene.
Science 321.5887 (2008)
Closed-Loop
Control System
Circulation
Loop
Dynamic System Vasculature
Control System
Input
Arterial
blood pressure
Controller Central
Nervous System
Sensor Baroreceptors
Actuator Aorta
Dynamic System
Input
Blood
Flow
Dynamic System
Output
Blood
Pressure
3. 𝑄 𝑎𝑜 𝑡 is the flow
source for the left
ventricle
Stroke Volume
70.5 mL
Basal Heart Rate
80 beats per minute
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene.
Science 321.5887 (2008)
Duration of heartbeat (s) 𝑇 0.75
Duration of systole (s) 𝑇𝑠 0.4𝑇
Time @ Maximum Flow (s) 𝑇 𝑚𝑎𝑥 0.16𝑇
Flow @ Maximum flow (L/s) 𝑄 𝑚𝑎𝑥 0.47
function [Qao,tt] = genQao(t)
T = 0.75; % duration of heartbeat (s)
tt = mod(t,T); % tt cycle from 0 to T
Ts = 0.4*T; % duration of systole (s)
Tmx = 0.16*T; % time @maximum flow (s)
Qmx = 0.47*10^3; % flow @maximum (L/s)
if tt >=0 && tt < Tmx,
Qao = Qmx*tt/Tmx;
elseif tt >= Tmx && tt < Ts,
Qao = Qmx*(Ts-tt)/(Ts-Tmx);
else
Qao = 0; % third section
end
4. Dynamic modeling
using linear graph:
Pressure Output
Flow Input
Defined 5 nodes,
including:
Systemic artery
Splanchnic vein
Right atrial
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene.
Science 321.5887 (2008)
8. Heart Rate
Mean Arterial
Pressure Regulation
Delayed Signals from
Pressure Receptors
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene.
Science 321.5887 (2008)
