How to read your SweetBeat numbers - Heart rate variabilitySweetWater_Health
This is for users who use either SweetBeat or HRV Sense. We have had a lot of questions about age specific numbers and wanted to go into detail for our users so they can get the most out of our app.
Written by CEO & co-founder, Ronda Collier.
Heart Rate Variability (HRV) for Improved Sports PerformanceSweetWater_Health
Some of you have read HRV Measurement Explanations and found them very useful. This is one step further in detail. We want our users to get the most out of their HRV biofeedback.
this presentation overviews about heart rate variability and its uses as a biofeedback mechanism in varying the heart rate and thus releaving stress and other applications of it
Classification of Cardiac Arrhythmia using WT, HRV, and Fuzzy C-Means ClusteringCSCJournals
The classification of the electrocardiogram registration into different pathologies disease devises is a complex pattern recognition task. In this paper, we propose a generic feature extraction for classification of ECG arrhythmias using a fuzzy c-means (FCM) clustering and Heart Rate variability (HRV). The traditional methods of diagnosis and classification present some inconveniences; seen that the precision of credit note one diagnosis exact depends on the cardiologist experience and the rate concentration. Due to the high mortality rate of heart diseases, early detection and precise discrimination of ECG arrhythmia is essential for the treatment of patients. During the recording of ECG signal, different forms of noise can be superimposed in the useful signal. The pre-treatment of ECG imposes the suppression of these perturbation signals. The row date is preprocessed, normalized and then data points are clustered using FCM technique. In this work, four different structures, FCM-HRV, PCM-HRV, FCMC-HRV and FPCM-HRV are formed by using heart rate variability technique and fuzzy c-means clustering. In addition, FCM-HRV is the new method proposed for classification of ECG. This paper presents a comparative study of the classification accuracy of ECG signals by using these four structures for computationally efficient diagnosis. The ECG signals taken from MIT-BIH ECG database are used in training to classify 4 different arrhythmias (Atrial Fibrillation Termination). All of the structures are tested by using the same ECG records. The test results suggest that FCMC-HRV structure can generalize better and is faster than the other structures.
How to read your SweetBeat numbers - Heart rate variabilitySweetWater_Health
This is for users who use either SweetBeat or HRV Sense. We have had a lot of questions about age specific numbers and wanted to go into detail for our users so they can get the most out of our app.
Written by CEO & co-founder, Ronda Collier.
Heart Rate Variability (HRV) for Improved Sports PerformanceSweetWater_Health
Some of you have read HRV Measurement Explanations and found them very useful. This is one step further in detail. We want our users to get the most out of their HRV biofeedback.
this presentation overviews about heart rate variability and its uses as a biofeedback mechanism in varying the heart rate and thus releaving stress and other applications of it
Classification of Cardiac Arrhythmia using WT, HRV, and Fuzzy C-Means ClusteringCSCJournals
The classification of the electrocardiogram registration into different pathologies disease devises is a complex pattern recognition task. In this paper, we propose a generic feature extraction for classification of ECG arrhythmias using a fuzzy c-means (FCM) clustering and Heart Rate variability (HRV). The traditional methods of diagnosis and classification present some inconveniences; seen that the precision of credit note one diagnosis exact depends on the cardiologist experience and the rate concentration. Due to the high mortality rate of heart diseases, early detection and precise discrimination of ECG arrhythmia is essential for the treatment of patients. During the recording of ECG signal, different forms of noise can be superimposed in the useful signal. The pre-treatment of ECG imposes the suppression of these perturbation signals. The row date is preprocessed, normalized and then data points are clustered using FCM technique. In this work, four different structures, FCM-HRV, PCM-HRV, FCMC-HRV and FPCM-HRV are formed by using heart rate variability technique and fuzzy c-means clustering. In addition, FCM-HRV is the new method proposed for classification of ECG. This paper presents a comparative study of the classification accuracy of ECG signals by using these four structures for computationally efficient diagnosis. The ECG signals taken from MIT-BIH ECG database are used in training to classify 4 different arrhythmias (Atrial Fibrillation Termination). All of the structures are tested by using the same ECG records. The test results suggest that FCMC-HRV structure can generalize better and is faster than the other structures.
Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval.
Other terms used include: "cycle length variability", "RR variability" (where R is a point corresponding to the peak of the QRS complex of the ECG wave; and RR is the interval between successive Rs), and "heart period variability".
See also Heart rate turbulence, Sinus rhythm.
Methods used to detect beats include: ECG, blood pressure, ballistocardiograms,[1][2] and the pulse wave signal derived from a photoplethysmograph (PPG). ECG is considered superior because it provides a clear waveform, which makes it easier to exclude heartbeats not originating in the sinoatrial node. The term "NN" is used in place of RR to emphasize the fact that the processed beats are "normal" beats.
An overview on Indian retail industry. Included information like evolution of retail in India, retail formats in India, key players, competitive landscape, key strategies, industry growth, etc.
General Rules on Frequency Wobbles and Feathering Spooky2 Rife
http://www.spooky2-mall.com/ - The general rules on frequency wobbles and feathering are: for something that’s non-living, the Harmonic Wobble setting should be None (e.g. metals, pollutants, toxins). We don’t wobble non-living things because they cannot mutate.
http://www.spooky2-mall.com/ - Are you confuesed with reverse lookup? Do you know how to understand biofeedback scan correctly? See the article to find the answer.
www.spooky2-mall.com-Do you have a clear understanding of rife machine for cancers? In this document, you will learn more: remote vs contact and their settings.
www.spooky2-mall.com-Using Rife technology to deal with cancer isn’t simply a matter of killing cancer cells. It’s actually four tasks, all of them vital – killing, detox, support, and pain control.
http://www.spooky2-mall.com -There now exists a way to find the right frequencies for every subject, every time, in every situation. It's called biofeedback, which has been built into a handful of frequency machines.
What would Happen to Your Generators When Encountering Power OutageSpooky2 Rife
http://www.spooky2-mall.com/ - If you are driving the generators during a power outage from a desktop PC without backup power, then the PC will also shut down.
Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval.
Other terms used include: "cycle length variability", "RR variability" (where R is a point corresponding to the peak of the QRS complex of the ECG wave; and RR is the interval between successive Rs), and "heart period variability".
See also Heart rate turbulence, Sinus rhythm.
Methods used to detect beats include: ECG, blood pressure, ballistocardiograms,[1][2] and the pulse wave signal derived from a photoplethysmograph (PPG). ECG is considered superior because it provides a clear waveform, which makes it easier to exclude heartbeats not originating in the sinoatrial node. The term "NN" is used in place of RR to emphasize the fact that the processed beats are "normal" beats.
An overview on Indian retail industry. Included information like evolution of retail in India, retail formats in India, key players, competitive landscape, key strategies, industry growth, etc.
General Rules on Frequency Wobbles and Feathering Spooky2 Rife
http://www.spooky2-mall.com/ - The general rules on frequency wobbles and feathering are: for something that’s non-living, the Harmonic Wobble setting should be None (e.g. metals, pollutants, toxins). We don’t wobble non-living things because they cannot mutate.
http://www.spooky2-mall.com/ - Are you confuesed with reverse lookup? Do you know how to understand biofeedback scan correctly? See the article to find the answer.
www.spooky2-mall.com-Do you have a clear understanding of rife machine for cancers? In this document, you will learn more: remote vs contact and their settings.
www.spooky2-mall.com-Using Rife technology to deal with cancer isn’t simply a matter of killing cancer cells. It’s actually four tasks, all of them vital – killing, detox, support, and pain control.
http://www.spooky2-mall.com -There now exists a way to find the right frequencies for every subject, every time, in every situation. It's called biofeedback, which has been built into a handful of frequency machines.
Similar to Biofeedback Using BPM and HRV Values (10)
What would Happen to Your Generators When Encountering Power OutageSpooky2 Rife
http://www.spooky2-mall.com/ - If you are driving the generators during a power outage from a desktop PC without backup power, then the PC will also shut down.
http://www.spooky2-mall.com/ - Better Digestive Health, Better Life
Your lifestyle and your choice of foods can affect the way your body digests the foods you eat. Drinking water, adding fiber, and exercising all contribute to better digestive health, therefore reducing some problems including diarrhea, acid reflux, indigestion, irritable bowel syndrome and constipation.
http://www.spooky2-mall.com/ - Spooky2 has new full presets for the Terrain protocol, “Terrain (R) - BY” for remote, “Terrain (P) - BY” for plasma and “Terrain (C) - BY” for contact. “Terrain (R) - BY” can be run by itself, and it takes 11 days. With 2 generators, “Terrain (R) - BY” can be run with either “Terrain (P) - BY” OR “Terrain (C) - BY”.
http://www.spooky2-mall.com/ - The basic idea behind the Spooky Remote is that there are situations where two particles act as though they were connected to each other even though they are at different locations, sometimes miles apart.
To learn how to put DNA samples in the Spooky remote:
http://www.spooky2-mall.com/blog/how-to-put-dna-samples-in-the-spooky-remote/
And also here is the blog with the collection of scientific proof of remote healing:
http://www.spooky2-mall.com/blog/scientific-proof-of-remote-healing/
This is the testimonial of Spooky2 remote healing:
http://www.spooky2-mall.com/blog/testimonials-of-spooky2-remote-healing/
http://www.spooky2-mall.com/ - Western and eastern medicine have reached a consensus upon dandelion's valuable medicinal uses, which capable of creating abundant health benefits upon our body.
How to Test Generator's Output Using Spooky RemoteSpooky2 Rife
http://www.spooky2-mall.com/ - To ensure that the generator's signal is being transmitted successfully, we need to test its output, and the quickest way to do this is by connecting a Spooky Remote to its correct Boost socket.
http://www.spooky2-mall.com/ - Spooky2 has the biggest frequency database for all kinds of diseases in the world. This article explains hwo to install Spooky2 software.
Cupping therapy: What You Need to KnowSpooky2 Rife
http://www.spooky2-mall.com/ - Yet as a lesser-known modality of traditional Chinese medicine (TCM), cupping therapy is also highly effective in dealing with many health conditions.
http://www.spooky2-mall.com/ - Kidney stone is formed when mineral substance circulates in the urine. Sometimes, you may feel pain or even renal colic. Rife machine still provides a powerful and safe way to treat that.
What are the Differences between Remote, Contact and Plasma ModesSpooky2 Rife
http://www.spooky2-mall.com/ - Spooky2 users will use Remote and Contact Modes and Plasma Mode. There are some differences among them from Transmission to Inverse+Sync. Check the article and find more.
Recommended Windows Settings for Spooky2Spooky2 Rife
http://www.spooky2-mall.com/ - There are two very important settings in Windows that you need to be aware of when using Spooky2. Check the article and find more.
Obesity May Cause Cancer but What Can We DoSpooky2 Rife
http://www.spooky2-mall.com/ - It has been proved that obesity is related to cancers, like cancer of stomach, liver, gallbladder, pancreas, ovary and thyroid. What can we do to manage our weight and health?
http://www.spooky2-mall.com/ - Heartburn is very common and very unpleasant. It's triggered when stomach acid backs up into the esophagus. So what can you do to treat it in a natural way without any side-effects.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
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Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
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- GENE THERAPY
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- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
2. Official Support Website: www.spooky2.com
Official Purchasing Website: www.spooky2-mall.com
Email:echolee@cleanenergy-npt.com
or service@spooky2.com
When we use a biofeedback scan, we are asking the body to tell us
what it needs. The body knows well and does not lie. However, when
we try to force the body to go in a direction we want, well this just
does not usually work out well.
While we can isolate the results to known modalities, one would be
hard pressed to scan with only one result in mind.
3. Official Support Website: www.spooky2.com
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Email:echolee@cleanenergy-npt.com
or service@spooky2.com
You can't really tell your body to ignore all the things you maybe don't
even know about, in favor of that one frequency that will make your left
toe stop itching.
Lots of times things get complicated by the fact we try to treat based
on symptoms and not the source. When doing a biofeedback scan, the
body knows the source and will respond accordingly.
4. Official Support Website: www.spooky2.com
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Email:echolee@cleanenergy-npt.com
or service@spooky2.com
With that in mind, one should use the frequencies as is in a treatment. I often see that
someone believes they need to use the information to select frequency sets to run. The
best frequency set was already given.
With that said, we can filter the results the body returns into specific modalities.
When we scan for Max BPM, we are only finding frequencies that elicit a maximum stress
event. Therefore, all results will be of a killing modality.
5. Official Support Website: www.spooky2.com
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Email:echolee@cleanenergy-npt.com
or service@spooky2.com
When we scan for Min BPM, we are only finding frequencies that elicit a calming event,
therefore of a healing modality.
When we scan using Max HRV, we are finding frequencies that elicit the maximum
stress or calming event, as this is an absolute function. This means all frequency hits
returns can be for either modality, and there is no way to know for which.
6. Official Support Website: www.spooky2.com
Official Purchasing Website: www.spooky2-mall.com
Email:echolee@cleanenergy-npt.com
or service@spooky2.com
When we scan using Min HRV, we are looking for frequencies that elicit the least
change to our body. Again this is an absolute function -- can find both types of
frequencies. Where this may be useful is if you are looking for frequencies for instance
that help maintain a steady state during meditation.
As for the frequency range.
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Email:echolee@cleanenergy-npt.com
or service@spooky2.com
76k to 152k is an octal range. 152 is twice that of 76. It is like scanning one octave of
the piano from Middle C to High C.
Every frequency is covered by harmonic resonance when you scan a range like this.
The low C, the lowest A, and the highest G on the piano are also tickled by resonance.
8. Official Support Website: www.spooky2.com
Official Purchasing Website: www.spooky2-mall.com
Email:echolee@cleanenergy-npt.com
or service@spooky2.com
So the entire range can not be defined as a killing only range. While we do not have all
frequencies mapped out to make a claim like this on any range, when dealing with an
octal range (ending frequency is twice the starting frequency), you essentially are
covering all frequencies and thus the entire gambit.
9. Official Support Website: www.spooky2.com
Official Purchasing Website: www.spooky2-mall.com
Email:echolee@cleanenergy-npt.com
or service@spooky2.com
The frequency is what does the work. Not the settings, not the preset.
So if you use the results from a Max BPM scan with the Healing preset, which uses a
square wave, it will still kill stuff.
If you ran it via the Killing preset, you would just aid the frequencies ability to kill by using
more appropriate settings.
You can not turn a frequency from one modality to another by switching presets or
waveforms.