Explains about Remote sensing of heart rate and the data given by it i.e., Pulse Oximetry, Kinect, Heart Rate and Reflectance measurement setup. For more information visit: http://www.transformhealth-it.org/
Vascular Biomarkers in Cardiovascular Risk Prediction & Radiofrequency-based ...MIDEAS
Role of Vascular Biomarkers in
Cardiovascular Risk Assessment
The use of cardiovascular biomarkers in conjunction with risk scores
is expected to refine the risk stratification of an individual subject and
to guide his therapy. Biomarker is a characteristic that is objectively
measured and that reflects early functional and structural changes
in cardiovascular system, before overt disease manifestation. Vascular
biomarkers may be particularly informative, as they detect organ
damage in different parts of vascular bed, are measurable in a noninvasive
way, and reflect both aging process and adverse impact of
established cardiovascular risk factors, like plasma lipids, smoking,
high blood pressure, diabetes, inflammation1-2.
Nowadays, several vascular biomarkers have been proposed. According
to a position paper from the European Society of Cardiology
Working Group on peripheral circulation, the choice of vascular
biomarker or a combination depends on the clinical setting and
present comorbidities, and may differ for each individual patient3.
Utilizing Heart Rate Variability (HRV) for Preclinical Evaluation of Cardiova...InsideScientific
LIVE WEBINAR: Nov. 7, 2017
Sponsor: Data Sciences International (https://www.datasci.com/)
In this webinar, sponsored by Data Sciences International, scientists present case studies investigating HRV using both rodent and large animal telemetry.
First, Emma Karey discusses how to distill autonomic function from rodent ECG telemetry recordings collected by the Chen lab in the Department of Pharmacology at the University of California, Davis. Specifically, she discusses (1) how to identify and interpret the physiological significance of HRV in conscious, freely moving rodents, (2) how to efficiently obtain clean ECG recordings for downstream HRV analysis using select Data Insights software functions, and (3) how reductions in HRV can reflect cardiac dysfunction (in rodent models) that is caused—at least in some part—by changes in the cardiac vagal inputs to the SA node.
Following, John Wollard, Principle Research Technologist from the Lilach Lerman Renovascular Disease Research Laboratory at the Mayo Clinic, presents a case study involving a swine model of human disease related to renovascular dysfunction and metabolic syndrome. Specifically, he shares laboratory methodology, best-practices and preliminary data showing the value of heart rate variability as it relates to the investigation of metabolic dysfunction and hypercholesterolemia.
The Evolution of Wireless Monitoring in The Life Sciences and Review of Indus...InsideScientific
Biotelemetry is without a doubt the preferred approach for obtaining physiological measurements from animal research models in the fields of physiology, pathophysiology, pharmacology, drug discovery, and drug safety assessment. Naturally, the increase in application and availability of wireless measurement devices has fostered new research previously impossible, and motivated the works of many confirming the benefits of implantable telemetry over tethered and restrained animal models. This new era in implantable telemetry, where competition is more the rule than the exception, will drive down costs and expand the range of applications in life science research. During this opening webseries lecture, Brian Brockway will review the evolution of wireless technology and provide insight in to new possibilities based on recent innovations in the market place. Following, Dr. Robert Hamlin will provide an in-depth review of wireless monitoring practices in physiology, drug-discovery, and safety pharmacology and toxicology and discuss current industry standards for testing new therapeutic entities through wireless collection of blood pressure, blood flow, respiratory function, and ECG measurements.
Vascular Biomarkers in Cardiovascular Risk Prediction & Radiofrequency-based ...MIDEAS
Role of Vascular Biomarkers in
Cardiovascular Risk Assessment
The use of cardiovascular biomarkers in conjunction with risk scores
is expected to refine the risk stratification of an individual subject and
to guide his therapy. Biomarker is a characteristic that is objectively
measured and that reflects early functional and structural changes
in cardiovascular system, before overt disease manifestation. Vascular
biomarkers may be particularly informative, as they detect organ
damage in different parts of vascular bed, are measurable in a noninvasive
way, and reflect both aging process and adverse impact of
established cardiovascular risk factors, like plasma lipids, smoking,
high blood pressure, diabetes, inflammation1-2.
Nowadays, several vascular biomarkers have been proposed. According
to a position paper from the European Society of Cardiology
Working Group on peripheral circulation, the choice of vascular
biomarker or a combination depends on the clinical setting and
present comorbidities, and may differ for each individual patient3.
Utilizing Heart Rate Variability (HRV) for Preclinical Evaluation of Cardiova...InsideScientific
LIVE WEBINAR: Nov. 7, 2017
Sponsor: Data Sciences International (https://www.datasci.com/)
In this webinar, sponsored by Data Sciences International, scientists present case studies investigating HRV using both rodent and large animal telemetry.
First, Emma Karey discusses how to distill autonomic function from rodent ECG telemetry recordings collected by the Chen lab in the Department of Pharmacology at the University of California, Davis. Specifically, she discusses (1) how to identify and interpret the physiological significance of HRV in conscious, freely moving rodents, (2) how to efficiently obtain clean ECG recordings for downstream HRV analysis using select Data Insights software functions, and (3) how reductions in HRV can reflect cardiac dysfunction (in rodent models) that is caused—at least in some part—by changes in the cardiac vagal inputs to the SA node.
Following, John Wollard, Principle Research Technologist from the Lilach Lerman Renovascular Disease Research Laboratory at the Mayo Clinic, presents a case study involving a swine model of human disease related to renovascular dysfunction and metabolic syndrome. Specifically, he shares laboratory methodology, best-practices and preliminary data showing the value of heart rate variability as it relates to the investigation of metabolic dysfunction and hypercholesterolemia.
The Evolution of Wireless Monitoring in The Life Sciences and Review of Indus...InsideScientific
Biotelemetry is without a doubt the preferred approach for obtaining physiological measurements from animal research models in the fields of physiology, pathophysiology, pharmacology, drug discovery, and drug safety assessment. Naturally, the increase in application and availability of wireless measurement devices has fostered new research previously impossible, and motivated the works of many confirming the benefits of implantable telemetry over tethered and restrained animal models. This new era in implantable telemetry, where competition is more the rule than the exception, will drive down costs and expand the range of applications in life science research. During this opening webseries lecture, Brian Brockway will review the evolution of wireless technology and provide insight in to new possibilities based on recent innovations in the market place. Following, Dr. Robert Hamlin will provide an in-depth review of wireless monitoring practices in physiology, drug-discovery, and safety pharmacology and toxicology and discuss current industry standards for testing new therapeutic entities through wireless collection of blood pressure, blood flow, respiratory function, and ECG measurements.
Presentación del Dr. Josep Redón i Mas, del Hospital Clínico Universitario de Valencia, durante la I Reunión de Denervación Renal de la Sección de Hemodinámica y Cardiología Intervencionista (SHCI) de la Sociedad Española de Cardiología (SEC), celebrada del 29 al 30 de enero de 2014.
Professor Chris Williams et al - Healthcare condition monitoring using ICU dataBayes Nets meetup London
Professor Chris Williams from the University of Edinburgh will discuss research aimed at improving ICU patient care using condition monitoring. This is often impeded by the presence of artifacts in the data; maintaining blood pressure in critically ill patients is a key management goal and yet it is the physiological variable most prone to error.
Using data from vital signs data collected from the Neuro ICU at the Southern General Hospital, Glasgow, Chris will describe work on using the the Factorial Switching Linear Dynamical System (FSLDS) and the Discriminative Switching Linear Dynamical System (DSLDS) for the detection, removal and cleaning of artifacts.
Chris will also present a non-linear dynamical system for modelling the effect of drug infusions on the vital signs of patients admitted in Intensive Care Units (ICUs). More specifically the work is interested in modelling the effect of a widely used anaesthetic drug called Propofolon a patient's monitored depth of anaesthesia and haemodynamics. The approach is compared with one from the Pharmacokinetics/Pharmacodynamics (PK/PD) literature.
Joint work with: Konstantinos Georgatzis, Chris Hawthorne, Partha Lal, Martin Shaw, Ian Piper.
Meetup was here: https://www.meetup.com/London-Bayesian-network-Meetup-Group/events/242965982/
This presentation provides an overview of the principles, technology, and applications of ultrasound imaging in medical diagnostics, highlighting its benefits, limitations, and advancements in the field.
Presentación del Dr. Josep Redón i Mas, del Hospital Clínico Universitario de Valencia, durante la I Reunión de Denervación Renal de la Sección de Hemodinámica y Cardiología Intervencionista (SHCI) de la Sociedad Española de Cardiología (SEC), celebrada del 29 al 30 de enero de 2014.
Professor Chris Williams et al - Healthcare condition monitoring using ICU dataBayes Nets meetup London
Professor Chris Williams from the University of Edinburgh will discuss research aimed at improving ICU patient care using condition monitoring. This is often impeded by the presence of artifacts in the data; maintaining blood pressure in critically ill patients is a key management goal and yet it is the physiological variable most prone to error.
Using data from vital signs data collected from the Neuro ICU at the Southern General Hospital, Glasgow, Chris will describe work on using the the Factorial Switching Linear Dynamical System (FSLDS) and the Discriminative Switching Linear Dynamical System (DSLDS) for the detection, removal and cleaning of artifacts.
Chris will also present a non-linear dynamical system for modelling the effect of drug infusions on the vital signs of patients admitted in Intensive Care Units (ICUs). More specifically the work is interested in modelling the effect of a widely used anaesthetic drug called Propofolon a patient's monitored depth of anaesthesia and haemodynamics. The approach is compared with one from the Pharmacokinetics/Pharmacodynamics (PK/PD) literature.
Joint work with: Konstantinos Georgatzis, Chris Hawthorne, Partha Lal, Martin Shaw, Ian Piper.
Meetup was here: https://www.meetup.com/London-Bayesian-network-Meetup-Group/events/242965982/
This presentation provides an overview of the principles, technology, and applications of ultrasound imaging in medical diagnostics, highlighting its benefits, limitations, and advancements in the field.
Implementation of Online Safety Incident Reporting System in a Tertiary Care Teaching Hospital by Dr. Bijoy Johnson, Dept. of Hospital Administration, KMC Manipal, India
Large Scale Disaster Management in Healthcare Deploying ICT by Olav Veum Eielsen Anesthesiologist, Director Regional Centre for Medical Emergency Research and Development,
Norway
Virtual knowledge network NIMHANS Echo : Innovative tele- mentoring model for skilled capacity building in addiction & mental health by Prabhat Chand , NIMHANS, India
Gemma Wean- Nutritional solution for Artemiasmuskaan0008
GEMMA Wean is a high end larval co-feeding and weaning diet aimed at Artemia optimisation and is fortified with a high level of proteins and phospholipids. GEMMA Wean provides the early weaned juveniles with dedicated fish nutrition and is an ideal follow on from GEMMA Micro or Artemia.
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Can coffee help me lose weight? Yes, 25,422 users in the USA use it for that ...nirahealhty
The South Beach Coffee Java Diet is a variation of the popular South Beach Diet, which was developed by cardiologist Dr. Arthur Agatston. The original South Beach Diet focuses on consuming lean proteins, healthy fats, and low-glycemic index carbohydrates. The South Beach Coffee Java Diet adds the element of coffee, specifically caffeine, to enhance weight loss and improve energy levels.
Feeding plate for a newborn with Cleft Palate.pptxSatvikaPrasad
A feeding plate is a prosthetic device used for newborns with a cleft palate to assist in feeding and improve nutrition intake. From a prosthodontic perspective, this plate acts as a barrier between the oral and nasal cavities, facilitating effective sucking and swallowing by providing a more normal anatomical structure. It helps to prevent milk from entering the nasal passage, thereby reducing the risk of aspiration and enhancing the infant's ability to feed efficiently. The feeding plate also aids in the development of the oral muscles and can contribute to better growth and weight gain. Its custom fabrication and proper fitting by a prosthodontist are crucial for ensuring comfort and functionality, as well as for minimizing potential complications. Early intervention with a feeding plate can significantly improve the quality of life for both the infant and the parents.
Michigan HealthTech Market Map 2024. Includes 7 categories: Policy Makers, Academic Innovation Centers, Digital Health Providers, Healthcare Providers, Payers / Insurance, Device Companies, Life Science Companies, Innovation Accelerators. Developed by the Michigan-Israel Business Accelerator
PET CT beginners Guide covers some of the underrepresented topics in PET CTMiadAlsulami
This lecture briefly covers some of the underrepresented topics in Molecular imaging with cases , such as:
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- The role of FDG PET in NET.
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Rate Controlled Drug Delivery Systems, Activation Modulated Drug Delivery Systems, Mechanically activated, pH activated, Enzyme activated, Osmotic activated Drug Delivery Systems, Feedback regulated Drug Delivery Systems systems are discussed here.
This document is designed as an introductory to medical students,nursing students,midwives or other healthcare trainees to improve their understanding about how health system in Sri Lanka cares children health.
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About this webinar: This talk will introduce what cancer rehabilitation is, where it fits into the cancer trajectory, and who can benefit from it. In addition, the current landscape of cancer rehabilitation in Canada will be discussed and the need for advocacy to increase access to this essential component of cancer care.
KEY Points of Leicester travel clinic In London doc.docxNX Healthcare
In order to protect visitors' safety and wellbeing, Travel Clinic Leicester offers a wide range of travel-related health treatments, including individualized counseling and vaccines. Our team of medical experts specializes in getting people ready for international travel, with a particular emphasis on vaccines and health consultations to prevent travel-related illnesses. We provide a range of travel-related services, such as health concerns unique to a trip, prevention of malaria, and travel-related medical supplies. Our clinic is dedicated to providing top-notch care, keeping abreast of the most recent recommendations for vaccinations and travel health precautions. The goal of Travel Clinic Leicester is to keep you safe and well-rested no matter what kind of travel you choose—business, pleasure, or adventure.
Dr. David Greene R3 stem cell Breakthroughs: Stem Cell Therapy in CardiologyR3 Stem Cell
Dr. David Greene, founder and CEO of R3 Stem Cell, is at the forefront of groundbreaking research in the field of cardiology, focusing on the transformative potential of stem cell therapy. His latest work emphasizes innovative approaches to treating heart disease, aiming to repair damaged heart tissue and improve heart function through the use of advanced stem cell techniques. This research promises not only to enhance the quality of life for patients with chronic heart conditions but also to pave the way for new, more effective treatments. Dr. Greene's work is notable for its focus on safety, efficacy, and the potential to significantly reduce the need for invasive surgeries and long-term medication, positioning stem cell therapy as a key player in the future of cardiac care.
Dr. David Greene R3 stem cell Breakthroughs: Stem Cell Therapy in Cardiology
Remote sensing of heart rate and blood oxygenation level using gaming camera based technology
1. 1
Remote sensing of heart rate and
blood oxygenation level using
gaming camera-based technology
David Harris-Birtill1*, David Morrison1, Devesh Dhasmana2,3
1School of Computer Science, University of St Andrews, Fife, KY16 9SX,
Scotland, UK
2School of Medicine, University of St Andrews, Fife, KY16 9TJ, Scotland, UK
3NHS Fife, Victoria Hospital, Hayfield Road, Kirkcaldy, KY2 5AH, Scotland, UK
*dcchb@st-andrews.ac.uk
2. 2
Pulse Oximetry
• Heart Rate (less than 40, or more than 130
beats per minute = bad)*
• Blood Oxygenation level (less than 90% =
bad)*
* Taenzer et al. “Impact of pulse oximetry surveillance on rescue events and intensive care
unit transfers: a before-and-after concurrence study.” Anesthesiology. 112 (2010): 282-7.
3. 3
Kinect: what data does it give us?
• Colour image (RGB)
• Infrared (IR) image
• Depth map
• Joint positions (head arms legs etc.)
5. 5
Calculation of heart rate
Peak frequency:
72 beats per minute
Integrated intensity over time
(across all wavelengths)
Frequency content (using
FFT) after high pass filter
Heartbeat in the lip as measured using a reflectance spectrometer at 10Hz over time from participant’s lip. a.) Integrated sum of the whole spectrum over time where the fluctuations are due to the heartbeat. b.) The frequency content of this signal over time after a high pass filter of 35 beats per minute is applied. This shows the peak frequency content of 72 beats per minute, which is the heart rate.
The calculated heartrate in the lip over 30 seconds at each wavelength, using the intensity of the received light at each wavelength over time as the signal to calculate the heart rate from (after using a high pass filter of 35 beats per minute), showing the most accurate region to be between 450nm to 600nm (green region).
Showing the automated extraction process from two of the co-authors in the (a) infrared image, and (b) colour image. The regions of interest in the face are then extracted (c), with the dots on the top left corner of each of the regions of interest (cheeks, forehead and lips) showing the computed mean value.
Mockup of the system user interface, showing the automatically extracted images of the faces and their corresponding heart rate and oxygenation level (the current value as a number and the history over time as a chart). If a person’s heart rate or oxygenation level goes out of normal bounds, the system can highlight this as someone to attend to.
a.) The optical extinction spectra of oxy- (red line) and deoxyhaemoglobin (blue line) within blood. b) The spectral extinction coefficient differences between deoxy- and oxyhaemoglobin (deoxy minus oxy, shown with a black line). Shaded areas correspond to the spectral regions of colour camera channels red, green and blue; the grey shaded area is the near infrared (IR) spectral region above 800nm, which IR cameras, such the Microsoft Kinect games console camera, are able to detect. Figures created using data from http://omlc.org/spectra/hemoglobin/summary.html
: a.) Measured reflectance spectra over 30 seconds at 10Hz, where the solid red line is the mean and the shaded area shows the range of values over the 30 seconds. b.) Reflectance spectrum showing the ratio of reflected light back compared to the intensity of light in, corrected for the white light emission by normalizing and then dividing by the normalised white light emission spectrum.
: a.) Measured reflectance spectra over 30 seconds at 10Hz, where the solid red line is the mean and the shaded area shows the range of values over the 30 seconds. b.) Reflectance spectrum showing the ratio of reflected light back compared to the intensity of light in, corrected for the white light emission by normalizing and then dividing by the normalised white light emission spectrum.
Characterisation of Kinect v2 laser. a.) Measured optical emission spectrum of Microsoft Kinect v2 infrared laser. b.) Histogram of the measured laser peak wavelength after 1,000,000 spectra acquired.