Improving Mental Focus
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With the Quantified Mind web-app, Justin tracked his performance & correlated with diet, exercise, and sleep over 6 months. Justin can be found at http://justinlawler.net
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This document discusses quantified self and self-tracking in health. It provides examples of individuals who track various health metrics like blood glucose, exercise, diet, biomarkers and have found benefits like reduced insulin needs, weight loss, and cured illnesses. Common metrics tracked include blood glucose, heart rate, inflammation, microbiome, and DNA. The quantified self movement values first-person observations and experimentation to gain insights into one's own health and ways to improve it through lifestyle tracking and changes. There is a goal to aggregate user data to gain broader health insights through projects like the 100k Wellness Project.
Kenkodo Quantified Self Dublin June 2016
This document describes a new technology for accurate consumer health monitoring using metabolomic profiling of blood samples. The system uses a home blood sampling kit, lifestyle tracking app, and mass spectrometry analysis to measure over 2000 metabolites and biomarkers in a user's blood. This provides insights into an individual's biochemical state, how their diet and lifestyle affect their metabolism and health, and can detect changes indicating potential health issues before symptoms appear. The goal is to help users better understand their body and lifestyle factors to stay healthy and improve wellbeing over time.
Food and Activity Detection in Life Logging Images
Bhjaht Safadi details the technology stack behind the software used to in food & activity recognition
Food and Activity Detection in Life Logging Images
This document discusses automatic detection of foods and activities in lifelogging images. It describes the MyFood project for automatic monitoring of eating habits using lifelogging images. MyFood could help people track their diets and raise awareness of eating behaviors. The document also discusses the NTCIR-12 Lifelogging evaluation campaign, the first to evaluate tasks related to lifelogging data like images and location data. The campaign involved a test collection of lifelogging documents and sample queries to evaluate systems' ability to retrieve relevant documents. The best performing system in the campaign was from Laboratoire D’Informatique de Grenoble.
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Darragh talks introduces us to Heart Rate Variability & how to use it to manage stress in work & exercise.
Introduction to Google Fit
Google Fit is an open ecosystem that allows fitness data from different devices and apps to be stored in a central repository accessible from multiple devices. Developers can integrate with Google Fit using a REST API or Android SDK to upload fitness data from any wearable or sensor to the central repository, and access data created by other apps. This allows users' fitness data to persist even if they upgrade their fitness devices.
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Lorcan Walsh talks about sleep science and the history of sleep tracking and how our sleep routines have changed dramatically over the last 100 years.
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nursing management of patient with Empyema ppt
prepared by Prof. BLESSY THOMAS, SPN
Empyema is a disease of respiratory system It is defines as the accumulation of thick, purulent fluid within the pleural space, often with fibrin development.
Empyema is also called pyothorax or purulent pleuritis.
It’s a condition in which pus gathers in the area between the lungs and the inner surface of the chest wall. This area is known as the pleural space.
Pus is a fluid that’s filled with immune cells, dead cells, and bacteria.
Pus in the pleural space can’t be coughed out. Instead, it needs to be drained by a needle or surgery.
Empyema usually develops after pneumonia, which is an infection of the lung tissue. it is mainly caused due in infectious micro-organisms. It can be treated with medications and other measures.
Electrocardiogram_20240614_173859_0000.pdf
Basics of Electrocardiogram
CONTENTS
●Conduction System of the Heart
●What is ECG or EKG?
●ECG Leads
●Normal waves of ECG.
●Dimensions of ECG.
● Abnormalities of ECG
CONDUCTION SYSTEM OF THE HEART
ECG:
●ECG is a graphic record of the electrical activity of the heart.
●Electrical activity precedes the mechanical activity of the heart.
●Electrical activity has two phases:
Depolarization- contraction of muscle
Repolarization- relaxation of muscle
ECG Leads:
●6 Chest leads
●6 Limb leads
1. Bipolar Limb Leads:
Lead 1- Between right arm(-ve) and left arm(+ve)
Lead 2- Between right arm(-ve) and left leg(+ve)
Lead 3- Between left arm(-ve)
and left leg(+ve)
2. Augmented unipolar Limb Leads:
AvR- Right arm
AvL- Left arm
AvF- Left leg
3.Chest Leads:
V1 : Over 4th intercostal
space near right sternal margin
V2: Over 4th intercostal space near left sternal margin
V3:In between V2 and V4
V4:Over left 5th intercostal space on the mid
clavicular line
V5:Over left 5th intercostal space on the anterior
axillary line
V6:Over left 5th intercostal space on the mid
axillary line.
Normal ECG:
Waves of ECG:
P Wave
•P Wave is a positive wave and the first wave in ECG.
•It is also called as atrial complex.
Cause: Atrial depolarisation
Duration: 0.1 sec
QRS Complex:
•QRS’ complex is also called the initial ventricular complex.
•‘Q’ wave is a small negative wave. It is continued as the tall ‘R’ wave, which is a positive wave.
‘R’ wave is followed by a small negative wave, the ‘S’ wave.
Cause:Ventricular depolarization and atrial repolarization
Duration: 0.08- 0.10 sec
T Wave:
•‘T’ wave is the final ventricular complex and is a positive wave.
Cause:Ventricular repolarization Duration: 0.2 sec
Intervals and Segments of ECG:
P-R Interval:
•‘P-R’ interval is the interval
between the onset of ‘P’wave and onset of ‘Q’ wave.
•‘P-R’ interval cause atrial depolarization and conduction of impulses through AV node.
Duration:0.18 (0.12 to 0.2) sec
Q-T Interval:
•‘Q-T’ interval is the interval between the onset of ‘Q’
wave and the end of ‘T’ wave.
•‘Q-T’ interval indicates the ventricular depolarization
and ventricular repolarization,
i.e. it signifies the
electrical activity in ventricles.
Duration:0.4-0.42sec
S-T Segment:
•‘S-T’ segment is the time interval between the end of ‘S’ wave and the onset of ‘T’ wave.
Duration: 0.08 sec
R-R Interval:
•‘R-R’ interval is the time interval between two consecutive ‘R’ waves.
•It signifies the duration of one cardiac cycle.
Duration: 0.8 sec
Dimension of ECG:
How to find heart rhytm of the heart?
Regular rhytm:
Irregular rhytm:
More than or less than 4
How to find heart rate using ECG?
If heart Rhytm is Regular :
Heart rate =
300/No.of large b/w 2 QRS complex
= 300/4
=75 beats/mins
How to find heart rate using ECG?
If heart Rhytm is irregular:
Heart rate = 10×No.of QRS complex in 6 sec 5large box = 1sec
5×6=30
10×7 = 70 Beats/min
Abnormalities of ECG:
Cardiac Arrythmias:
1.Tachycardia
Heart Rate more than 100 beats/min
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We look into the evolution of health informatics and its applications in the healthcare industry.
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Indian Health universities, IT Education institutions, and the healthcare industry must proactively collaborate to start health informatics courses on a big scale. An advocacy push from various stakeholders is also needed for this goal.
Health informatics has huge employment potential and provides a big business opportunity for the healthcare industry. A big pool of trained health informatics manpower can lead to product & service innovations on a global scale in India.
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Our company incorporates various drug formulations covering pharma tablets, syrups, capsules, gels, sachets, ointments, creams, injectables.
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A Fit-to-Fly PCR Test is a crucial service for travelers needing to meet the entry requirements of various countries or airlines. This test involves a polymerase chain reaction (PCR) test for COVID-19, which is considered the gold standard for detecting active infections. At our travel clinic in Leeds, we offer fast and reliable Fit to Fly PCR testing, providing you with an official certificate verifying your negative COVID-19 status. Our process is designed for convenience and accuracy, with quick turnaround times to ensure you receive your results and certificate in time for your departure. Trust our professional and experienced medical team to help you travel safely and compliantly, giving you peace of mind for your journey.www.nxhealthcare.co.uk
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Indian Massage, Kerala Massage, Thai Massage, Pakistani Massage, Russian Massage etc
If you are seeking relaxation, pain relief, or wellness experience, our ajman spa is here for your unique needs and concerns. The services of our experienced therapists, and personalized attention will ensure that each visit will be memorable for you.
Book your appointment today and let us take you to a world of serenity and self-care. Because you deserves the best.
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At Malayali Kerala Spa Ajman we providing the top quality massage services for our customers.
Our massage center prioritizes efficiency to ensure a quality massage experience for our clients at Malayali Kerala Spa Ajman. We offer a convenient appointment system and precise massage services.
Reach us at Villa No 7, Near Ammar Bin Yasir Street Al Rashidiya 2 - Ajman - United Arab Emirates.
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Improving Mental Focus
- 1. QUANTIFYING MENTAL FOCUS Justin Lawler – 2016/02/16
- 2. Quantifying Focus – Quantified Mind • Reaction Times • Executive Function • Visual Perception • Motor Skills • Working Memory (Pattern) • Working Memory (Digit)
- 3. Quantifying Focus – Quantified Mind Executive Function & Context Switching (Sorting Test)
- 4. Quantifying Focus - Tools Moves Tap Log
- 5. Quantified Mind – 6 Months Results Average Scores &14 Day Moving Average 500.000 520.000 540.000 560.000 580.000 600.000 620.000 640.000 660.000 680.000 6/22/15 6/29/15 7/6/15 7/13/15 7/20/15 7/27/15 8/3/15 8/10/15 8/17/15 8/24/15 8/31/15 9/7/15 9/14/15 9/21/15 9/28/15 10/5/15 10/12/15 10/19/15 10/26/15 11/2/15 11/9/15 11/16/15 11/23/15 11/30/15 12/7/15 12/14/15 12/21/15 12/28/15 AvgTestScores
- 6. Quantified Mind – Sleep Calculated over 14 Day Moving Average -0.10 -0.05 0.00 0.05 0.10 0.15 0.20 0.25 Total Time REM Light Deep Time x 2 Nights CorrelationCoefficient Visual Perception Memory (Pattern) Motor Skills Reaction Time Executive Function Memory (Digit)
- 9. Quantified Mind – Coffee Average Score Difference from 14 Day Moving Average -20.00 -15.00 -10.00 -5.00 0.00 5.00 10.00 15.00 20.00 25.00 30.00 Before After TestScores Visual Perception Memory (Pattern) Motor Skills Reaction Time Executive Function Memory (Digit) Avg
- 10. Quantified Mind – Diet Calculated over 14 Day Moving Average -0.3 -0.25 -0.2 -0.15 -0.1 -0.05 0 0.05 Alcohol Gluten Lactose CorrelationCoefficients Visual Perception Memory (Pattern) Motor Skills Reaction Time Executive Function Memory (Digit)
- 11. Quantified Mind – Exercise -0.15 -0.1 -0.05 0 0.05 0.1 0.15 Fitbit Basis CorrelationCoefficient Visual Perception Memory (Pattern) Motor Skills Reaction Time Executive Function Memory (Digit) Avg
- 12. Quantified Mind – HRV -0.2 -0.1 0 0.1 0.2 0.3 0.4 Beddit Polar CorrelationCoefficient Visual Perception Memory (Pattern) Motor Skills Reaction Time Executive Function Memory (Digit) Avg
- 13. Quantified Mind – Issues with Analysis •Experiment Quality •Tracking Devices •Quality of Analysis •Limited Data Set •Causation vs. Correlation
- 14. Quantified Self - Benefits •Diet •Sleep Quality •Self Knowledge •Motivation