Welcome to the third installment of our BioCoherence webinar series! In this session, we will be diving deep into the technical pages of the BioCoherence software, focusing on biomarkers, pulse wave analysis, and other advanced features that are not typically used on a daily basis but are essential for understanding the underlying mechanics of the system. These technical pages provide a wealth of information that can be useful for researchers, medical professionals, and advanced users who want to explore the intricacies of the data collected during a scan.
Recap of Previous Webinars
Before we jump into today's topic, let's quickly recap the previous webinars. The first two webinars covered the basics of the BioCoherence software, including how to set up and use the system for daily analysis. If you missed those sessions, you can find them on biocoherence.net/userseminar. Each webinar builds on the previous one, so it's a good idea to catch up if you're new to the series.Overview of the Technical Pages
When you perform a scan or open a file in BioCoherence, you are presented with five steps to analyze the data. The first step involves the technical pages, which include biomarkers, pulse wave analysis, and spectrum analysis. These pages are primarily for advanced users and researchers, but they offer valuable insights into the data that can help you better understand the state of your client's health.1. Spectrum Analysis
The spectrum analysis is the foundation of the data used to generate biomarkers. It provides a detailed view of the frequencies present in the signal, allowing you to zoom in and see how different frequencies evolve over time. While this information is not something you'll use every day, it's essential for understanding the underlying mechanics of the system.In the spectrum analysis, you can zoom into specific frequencies and observe how they change over time. This is particularly useful for researchers who want to study the frequency patterns in more detail. However, for most users, this is more of a "proof" that something is happening in the signal rather than a tool for daily use.2. Harmonics
Harmonics are a more advanced form of analysis that involves a second-order Fourier Transform (FFT). This mathematical operation allows us to isolate specific frequencies that are in harmony with the signal. The result is a much clearer picture of the data, with specific frequencies standing out more prominently.Harmonics are used to compute various biomarkers, and the information displayed here can be useful for advanced users who want to understand the relationship between different frequencies. For example, if there is a peak in the harmonics, it may indicate that certain frequencies are in a "golden mean" or musical harmony, which can be used to compute specific biomarkers.3. Pulse Wave Analysis
The pulse wave analysis is where things start to get more interesting for everyday users. Here, you can access the raw recording of the pulse and see a detailed view of the different standard points in the ECG (P, Q, R, S, T, etc.). The blue line represents the average pulse wave, while the gray line shows the raw data, which contains much higher frequency information.One of the most useful features of the pulse wave analysis is the ability to view individual pulses. You can scroll through the data and compare different pulses to see if they are consistent or if there are significant variations. This can be particularly useful for identifying irregularities in the pulse that may not be immediately apparent in the average data.Additionally, the software includes an automatic cleaning algorithm that detects and excludes irregular beats from the analysis. If the algorithm detects a beat that is too long or too short, it will automatically exclude it from the biomarker computations. However, you can manually include or exclude beats by clicking on them, giving you full control over the data.4. Graphs and Biomarker Evolution
The graphs section is where the real information for everyday users begins. This section provides a detailed view of the evolution of specific biomarkers over time. You can select a biomarker family (e.g., Meridians, Chakras, Organs) and view the data for each individual biomarker within that family.For example, if you're interested in the Meridians, you can select a specific Meridian and view its biomarker data over time. The graph will show you the short-term, medium-term, and long-term averages for that biomarker, giving you a comprehensive view of how it is evolving.One of the most powerful features of this section is the ability to add events. During a recording, you can mark specific events (e.g., a change in therapy or a notable observation) and correlate them with changes in the biomarkers. This is particularly useful for researchers who want to study the effects of specific interventions on the client's health.5. Biomarker Prevalence (New Feature)
In the latest update, we introduced a new feature called "Biomarker Prevalence." This feature allows you to see, at a glance, the state of all biomarkers in the system. You can filter the biomarkers by their state (e.g., low energy, stabilizing, strained) and view the corresponding data for each biomarker.For example, if you want to see all the biomarkers that are in a low-energy state, you can click on the "Low Energy" filter and view the relevant biomarkers. This feature provides a quick and easy way to get an overview of the client's health and identify areas that may need attention.Understanding the Flower Diagram
One of the key visual elements in the BioCoherence software is the "flower" diagram, which represents the state of a specific biomarker. The flower has nine different positions, each corresponding to a different combination of energy and agitation levels.- Center Position: This represents a balanced state with moderate energy and agitation levels.
- Left Side: Low energy, low agitation (static state).
- Right Side: High energy, high agitation (learning or transformation state).
Qualities and Links
In addition to the flower diagram, each biomarker has a set of qualities and links that provide additional information about its state. The qualities include:- Attention: Indicates the level of control or management over the biomarker.
- Intention: Describes the focus or regulation of the biomarker.
- Horizon: Indicates whether the biomarker is being managed in the short term or long term.
Practical Applications
While the technical pages provide a wealth of information, they are primarily designed for advanced users and researchers. However, there are several practical applications for everyday users:- Event Marking: Use the event marking feature to track specific interventions or observations during a recording. This can help you correlate changes in biomarkers with specific actions. Add an event during recording by clicking on the stopwatch icon.
- Biomarker Prevalence: Use the biomarker prevalence feature to quickly identify areas of concern and prioritize your focus.
- Pulse Wave Analysis: Use the pulse wave analysis to identify irregularities in the pulse and manually exclude or include beats as needed.
Conclusion
The technical pages of the BioCoherence software offer a deep dive into the data collected during a scan. While these pages are not typically used on a daily basis, they provide valuable insights for advanced users and researchers. Whether you're analyzing the spectrum, harmonics, or pulse wave, the technical pages give you the tools you need to understand the underlying mechanics of the system.In the next webinar, we will be focusing on the practical applications of the software, including how to use the biomarker data to create personalized therapy plans and how to work with frequencies to optimize your client's health. Stay tuned for more!
If you have any questions or would like to explore specific topics in more detail, feel free to reach out to us in the comments or join our Telegram group for ongoing discussions.
Next Webinar: In the upcoming session, we will explore how to use the biomarker data to create personalized therapy plans and dive deeper into the use of frequencies. Stay tuned!
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- Can I export long frequency meditations?
- Export duration is limited to 30 minutes to avoid crashing the device. You can build longer playlists inside the app for playback, but only 30-minute segments are exported.
- Can I manually clean the pulse wave data?
- Yes. While the app auto-cleans pulse recordings using an algorithm, you can manually include or exclude specific beats by clicking on them. This helps refine biomarker computation.
- How are biomarkers selected for daily meditations?
- You add biomarkers to Priorities manually. The app then picks relevant ones daily for meditation or frequency work from this list, balancing variety and focus across 21-day cycles.
- How are cycles calculated in biomarker analysis?
- From the biomarker's evolution over time, cycles (like 12.1 secs or 3.4 secs) represent changes per minute. Useful, for example, for osteopaths tracking rhythm health indicators.
- How can I use events during or after a recording?
- You can log events at specific moments during the session using a stopwatch icon or by adding them after recording. Events can include tags and comments, helping you correlate biomarker changes with actions during the session.
- How do I access biomarker families and explore data?
- In the Graphs section, select a biomarker family like Meridians or Chakras. You can click into specific biomarkers and view their detailed timeline, graphical representation, and energetical states.
- How do I analyze a scan in BioCoherence?
- After recording or opening a file, you are guided through five steps. Start with the technical pages showing biomarkers and related data. You can zoom into graphs, pulse wave, and spectrum analysis to get detailed views.
- How do I build custom frequency or meditation protocols?
- Add elements to your Priorities from any flower view. Then, in the Frequencies menu, you can create protocols using those elements to generate targeted frequency or meditation tracks.
- How is the 21-day balance program managed in BioCoherence?
- The app designs daily tailored meditations from your selected priorities. To keep sessions manageable, each day's balance includes different subsets and is optimized for shorter duration.
- How to use the Priority button effectively?
- When viewing a biomarker, click the + icon to add it to your priorities. This makes it available for meditation and frequencies work. Useful for targeting items in research or therapy.
- What do petals represent in BioCoherence?
- Petals represent states based on energy and agitation levels (e.g., learning, static, strained). They help interpret the evolutionary state of each biomarker and guide therapy or prioritization.
- What does "learning" petal mean for a biomarker?
- It indicates normal energy with increased agitation, suggesting physiological learning or adaptation. Often balanced and coherent, it reflects active inner development or regulation.
- What does the Prevalence screen show?
- It lets you see all biomarkers grouped by their current petal state (like low energy, stabilizing, learning, etc.). You can click into any group to explore biomarkers and their current energetic state efficiently.
- What does the "Reach", "Threads", and "Strength" metrics mean in Links?
- Threads is shared resonances, Strength is energy exchanged, and Reach is how many elements it connects to. These show how harmonically integrated a biomarker is within its family.
- What features are most useful in the Pulse Wave section?
- You can view the average pulse (blue line) and the real high-frequency signal (gray line). You can inspect pulses individually and exclude outlier beats from computations by clicking on them.
- What is the impact of having a "static" biomarker?
- Static biomarkers have low energy and agitation—they're considered isolated and not actively participating in the system. It's best to address them indirectly by working on more connected biomarkers or system elements.
- What is the meaning of qualities and links qualities?
- Biomarker qualities like attention, intention, and horizon describe their evolution: attention measures control, intention gauges regulation focus, and horizon indicates management timescale. Links qualities (threads, strength, reach) show how connected ...
- What is the Time Crystal Melter in BioCoherence?
- It detects recurring biomarker patterns over time (time crystals) and helps recognize and dissolve those that indicate stuck behavior or cycles. It activates after multiple balance recordings.
- What is the use of the spectrum and harmonies sections?
- Spectrums provide the frequency basis for biomarkers but are not directly useful every day. The harmonies section, a second-order FFT, isolates specific harmonic frequencies used to compute biomarkers.