The document describes a medical mirror that can track and display a user's heart rate in real time using only a webcam, without any external sensors. The mirror consists of an LCD monitor with a built-in webcam connected to analysis software running on a laptop. It uses computer vision techniques to detect the user's face, extract color signals, and analyze the frequency corresponding to heart rate. The technology provides a low-cost, convenient way to monitor heart rate and overall health from the comfort of one's home.
The heart acts as a pump that circulates oxygen and
nutrient carrying blood around the body in order to keep
it functioning. When the body is exerted the rate at which
the heart beats will vary proportional to the amount of
effort being exerted. By detecting the voltage created by
the beating of the heart, its rate can be easily observed
and used for a number of health purposes. Heart pounds
to pump oxygen-rich blood to your muscles and to carry
cell waste products away from your muscles. The heart rate gives a good indication during exercise routines of
how effective that routine is improving your health.
Biomedical Wearable Device For Remote Monitoring Ofphysiological Signalsncct
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The heart acts as a pump that circulates oxygen and
nutrient carrying blood around the body in order to keep
it functioning. When the body is exerted the rate at which
the heart beats will vary proportional to the amount of
effort being exerted. By detecting the voltage created by
the beating of the heart, its rate can be easily observed
and used for a number of health purposes. Heart pounds
to pump oxygen-rich blood to your muscles and to carry
cell waste products away from your muscles. The heart rate gives a good indication during exercise routines of
how effective that routine is improving your health.
Biomedical Wearable Device For Remote Monitoring Ofphysiological Signalsncct
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One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
Non-Contact Health Monitoring System Using Image and Signal ProcessingAtul Kumar Sharma
Presently digital medical devices promise to transform the future of medicine because of their ability to produce exquisitely detailed individual physiological data. As ordinary people start to have access and control over their own physiological data so that they can play a more active role in the management of their health. Currently many techniques are available for counting our heartbeat but it all needs bundles of sensors and wires. For heartbeat measurement using Electrocardiograph(ECG) method, we have to attach a bundle of leads in our chest and have to use adhesive gel. It is very difficult to patients and it can cause irritation to the skin. Another type is pulse oximeters and sensors, in this method sensors are attached to the finger tips or earlobes. This is also difficult for user.
In case of "Non-contact health monitoring system using image and signal processing" which gives contact free measurement about our physiological information using basic image processing devices. Users have the experience of real time health monitoring by just looking into "medical mirror". It recognizes our heartbeat without any external or internal sensor and displays it in real time. This invention helps people to access their own physiological data.
it about the project classification of arrhythmia ,Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. The name machine learning was coined in 1959 by Arthur Samuel. Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E." This follows A
IOT BASED HEALTH MONITORING BY USING PULSE OXIMETER AND ECGPonselvanV
Monitoring and Recording of various medical parameters of patient outside hospitals has become Widespread phenomenon. The Reason behind this project is to design a system for monitoring the patient’s body at any time using internet connectivity. The function of this system is measuring and detecting the heart pulse rate of the patient’s body by using Heart beat sensors and sends the values to IOT Cloud platform through WIFI-Module. All information about the patient heart pulse rate and health will be stored on the cloud, it enables the doctors to monitor patient’s health, where the doctor can continuously monitor the patient’s heart condition on his Smart phone.This project is implemented with Arduino Controller.
The work is aimed at measurement of heartbeat and displays the information on an alphanumeric (or Graphical) LCD display. The heartbeat monitor uses LED and an LDR based sensor to determine the heartbeat.
One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
Non-Contact Health Monitoring System Using Image and Signal ProcessingAtul Kumar Sharma
Presently digital medical devices promise to transform the future of medicine because of their ability to produce exquisitely detailed individual physiological data. As ordinary people start to have access and control over their own physiological data so that they can play a more active role in the management of their health. Currently many techniques are available for counting our heartbeat but it all needs bundles of sensors and wires. For heartbeat measurement using Electrocardiograph(ECG) method, we have to attach a bundle of leads in our chest and have to use adhesive gel. It is very difficult to patients and it can cause irritation to the skin. Another type is pulse oximeters and sensors, in this method sensors are attached to the finger tips or earlobes. This is also difficult for user.
In case of "Non-contact health monitoring system using image and signal processing" which gives contact free measurement about our physiological information using basic image processing devices. Users have the experience of real time health monitoring by just looking into "medical mirror". It recognizes our heartbeat without any external or internal sensor and displays it in real time. This invention helps people to access their own physiological data.
it about the project classification of arrhythmia ,Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. Machine Learning is the science of getting computers to learn without being explicitly programmed. It is closely related to computational statistics, which focuses on making prediction using computer. In its application across business problems, machine learning is also referred as predictive analysis. Machine Learning is closely related to computational statistics. Machine Learning focuses on the development of computer programs that can access data and use it to learn themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. The name machine learning was coined in 1959 by Arthur Samuel. Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E." This follows A
IOT BASED HEALTH MONITORING BY USING PULSE OXIMETER AND ECGPonselvanV
Monitoring and Recording of various medical parameters of patient outside hospitals has become Widespread phenomenon. The Reason behind this project is to design a system for monitoring the patient’s body at any time using internet connectivity. The function of this system is measuring and detecting the heart pulse rate of the patient’s body by using Heart beat sensors and sends the values to IOT Cloud platform through WIFI-Module. All information about the patient heart pulse rate and health will be stored on the cloud, it enables the doctors to monitor patient’s health, where the doctor can continuously monitor the patient’s heart condition on his Smart phone.This project is implemented with Arduino Controller.
The work is aimed at measurement of heartbeat and displays the information on an alphanumeric (or Graphical) LCD display. The heartbeat monitor uses LED and an LDR based sensor to determine the heartbeat.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
3. CONTENTS
• Introduction
• History
• Design of a medical mirror
• Demonstration of technology
• Demonstration of working
• Interaction
• Advantages
• Conclusion and Future Scope
3
7. INTRODUCTION
• Digital medical devices promise to
transform the future of medicine
because of their ability to produce
exquisitely detailed individual
physiological data.
• Current techniques.
• A new mirror interface for real time.
7
8. HISTORY
• In 2009, Ming-Zher Poh and his
roommate, Dan McDuff electrical
and medical-engineering graduate
student at the Massachusetts Institute
of Technology (MIT).
• His friend McDuff wrote code to
process the data in real time which
is used to generate an instant heart-
rate reading in laptop. 8
9. HEART BEAT RATE
• Determine your fitness level, also your
cardiovascular health.
• A high resting heart rate increases the risk of
heart attack and can be indicative of a
predisposition for diabetes and obesity.
• An excellent indicator of your overall fitness.
9
10. DESIGN
•An LCD monitor with a built in webcam to
provide an interactive display.
•The user is visible to webcam and LCD monitor
can be used to project information onto the
reflective surface of mirror.
•The monitor and webcam are connected to a
laptop running the analysis software in real time.10
15. HOW IT WORKS?
• An automated face tracker detects the largest
face from the webcam.
• The raw RGB signals are decomposed into
three independent components.
• The users heart rate is quantified as the
frequency that corresponds to highest power of
the spectrum within an operational frequency
band.
15
16. FACE TRACKER
• The automated face tracker which detects largest face
from the video captured by webcam.
• Automatic face tracker is a technology to detect size
and location of the users face.
16
17. RGB CHANNEL
• RGB colour sensor capture a blend of
the reflected plethysmographic signal
with the other source of change in
light caused by the movement or
changes in ambient lighting
condition.
17
18. INTERACTION
• A single user at a time.
• The user will see a box appear around
his/her face.
• Users heart rate will be displayed on the
mirror.
• The heart rate measurement will be
updated continuously until the user looks
away.
18
19. CALCULATION OF HEART
BEAT
• 45-240bpm operational frequency
band.
• Video physiological recording are
done by using MATLAB.
19
21. ADVANTAGES
• Low cost.
• Fits seamlessly into the ambient home
environment.
• To provide a convenient means for
people to track their daily health with
minimal effort.
• You could also use it on a phone or
laptop or any device that has camera.
21
22. DISADVANTAGES
• Like ECG technology it is not
possible.
• We have to wait a time period of 15
seconds to get heartbeat count.
22
23. CONCLUSION
• This is an amazing invention because the
relationship between medical mirror and
people could save some people and some
discomfort when they visit the doctor and
it possibly could help others save their
lives by noticing the higher heart beat that
probably would go undetected otherwise.
23
