Technical Details of the V1bes Ring Sensor and App
V1bes is measuring bioelectric activity by detecting very subtle voltage fluctuations between the sensors skin electrode and antenna electrode.
The measured voltage fluctuations are caused by (depending on use case):
- current flows within the neurons of the brain (Electroencephalography EEG)
- electrical activity of the heart Electrocardiograph, ECG or EKG)
- electrical activity of muscles (Electromyography, EMG)
- electrical conductance of the skin which varies depending on the amount of sweat-induced moisture on the skin (Skin Conductance)
- electromagnetic fields in the surrounding of the body or stand antenna.
The V1bes measurement is passive and does not induce any electrical- or other impulses into the human body (as compared to optical or bioimpedance measurements).
The sensors use low power wireless Zigbee signals to transmit data to the controller. This type of signal was chosen because it has less interference with measured body activities than most other types of wireless communication. (Bluetooth, WIFI).
The V1bes sensor is not to be considered as a formal medical device since we are not applying for FDA and equivalent approvals.
- 2-electrode (bipolar) signal acquisition, 2000X high gain amplifier
- 256Hz sampling rate, 13bit effective dynamic range
- Built-in 3D (XYZ) accelerometer
- Rechargeable LIR1220 button cell, typically >16hrs use time with full charge
- Bio-signal recording of 11+ hours on sensor unit memory module
Proprietary low-power ZigBee (2.45GHz) TDMA wireless signal transfer for interactive sessions
One silver coated dry electrode touching skin for continuous body-measurement.
One silver 10mm tube-antenna for environment measurements and touch electrode for EEG, ECG and EMG.
- Zigbee signal receiver and processor when connected to smartphone/tablet.
- Charging unit when connected to standard USB-charger or computer USB port
- Dual buttons (Positive, Negative) for ON( red)/OFF (blue) and 4 LED’s for easy tagging and event markers
- Rechargeable LIR2032 button cell, typically >48hrs use time with full charge
- Proprietary low-power ZigBee (2.45GHz) TDMA wireless signal transfer for interactive sessions
V1bes App (Android during Beta as downloaded from the App Store)
The app will also be available on iOS (iPhone) by the time we deliver sensors which are purchased via Indiegogo.
User name must be first inserted on the upper right side, left of the orange button
V1bes app main display features:
- A Real-time voltage signal graph
- Real time display of frequencies as columns updated once per second:
- UP, Utility Pollution. Voltage difference caused by Utility Electricity Electromagnetic Fields
- Low frequencies (0,5-5Hz)
- Medium range frequencies (5-14Hz)
- High range frequencies (14-99Hz)
- Upper right orange button, to be pressed to see real-time data of voltage and frequencies.
- Lower right blue button to be pressed in order for the app to make a 25 seconds test sequence. This test is then sent to the V1bes cloud for further analysing (after naming it on a popup screen).
The cloud will automatically resend a feedback screen with detailed analysis of test data. This feedback screen also provides further links to even more detailed analysis, cloud and register features.
- Lower left green button is used for reference data which is needed in some applications (future app). It sends the data to the cloud but does not provide feedback analysis. It can be used for storing a 25 sec test data file without having to use popup and receiving feedback information. This file can be viewed in My V1bes.
- In the upper right corner there are small control number displays of voltage amplitude and the range of absolute voltage fluctuation.
By right or left swiping the app, it either configures again or it gives access to the on-device saved data files of all tests and longer real-time data. When a data-file is opened it will be displayed as voltage graph with spectrogram providing frequency visualization for more detailed studies.
The EEG, ECG, Surround, Media and Match choice-buttons are to be pressed prior to doing a test. The feedback is determined on the use case. Please see use cases for more information.
My V1bes Cloud Data Storage
All tests are sent to the users own My V1bes cloud (Google cloud)
The client can here download raw-data files, display them as graphics, resend them or look at feedback information as provided by the app.
Stress Test Program:
Some of our hypothesis and beta-test programs for verification
A) During sleep a person’s brainwave activity are mainly in delta (1-4Hz) and theta (drowsiness 4-7Hz). The hypothesis is that a person’s sleep is disturbed if there is much delta and theta EMR pollution at the location of the bed. People also react to too much Beta (13-30Hz) and Gamma1 (40-58z) pollution, which can affect quality of sleep, as they are frequencies used by the brain when in active awaken consciousness.
We are currently testing multiple user sleep data (for instance BEDDIT) together with stress indicators (Hearth Rate Variability sensors) and comparing them to the M1nd sensor data which is recording close the person during sleep.
B) If there are much disturbing EMR on the low range frequencies which the brain generally uses, we believe the concentration is disturbed and the ability to stay focus is reduced
The M1nd sensor data is compared to EEG-based concentration data to see how much concentrations is decreased when low frequency pollution is increased. These trials are done both in our own testing facility and during early 2014 in academic laboratory surroundings.
C) Our tests indicate that a person who is feeling depressed, stressed or sick will emit EMR which is not in correlation with the surrounding EM fields. The test persons health data and subjective mood application data is compared to the ‘M1nd EMR fingerprints’ accumulated to the M1nd hub.
C) During meditation the persons will emit less EMR and the ‘M1nd EMR fingerprints’ will be more balanced. This will be tested during meditation retreats with simultaneous multiple meditators and sensors. The individual’s data will be compared to each other and the environment measurements.
We know that these hypothesis have yet to be scientifically proven, but the indications and tests carried out speak clear language. Our vision is that with the help of the mind sensor, we can carry out more and more tests with larger groups of people collecting experiences and confirm results in larger samples.
We hope that empirically driven research, where big data from a lot of users can be combined, will contribute to our society evolving and developing in the right direction.
The World Health Organization (WHO):
There is no doubt that short-term exposure to very high levels of electromagnetic fields (EMF) can be harmful to health.
Current public concern focuses on possible long-term health effects caused by exposure to EMF.
What exactly are the frequency bands that the sensor measures?
The main sensor feedback is the strength of the electromagnetic fields as calculated from the two measurement points within the sensor. We show these fields as frequency bands which are the same as what is used when analyzing brain activity with EEG – devices. We show these values in graphs and we make them more easy to understand by using speed-meters. When calculating the speed meters it we consider zero to be what we have measured in nature on a small island far out in the Finnish archipelago.
The frequency bands are:
1) Utility Pollution (UP): 50, 60, 100, 120, 150, 180, 200, 240 Hz AC,
2) Delta: 1-4Hz (EEG=sleep)
3) Theta: 4-7 Hz (EEG=drowsiness), Alpha: 8-13Hz (EEG=relaxed)
4) Alpha: manually changeable so that default is 9 Hz where band is -1Hz<center>+2Hz. We recommend to set this at 0.5 Hz if the user want’s to follow the body’s low frequency fields.
5) Sigma: manually changeable so that default is 11,5 Hz where band is -1Hz<center>+2Hz. We recommend to set use this range as it show’s how the body and especially hands influence the sensor’s EMF field.
6) Beta 13-30Hz (EEG=normal active awaken consciousness)
7) G1: 40-58z (EEG=low gamma; memory, subconscious- and muscle activity)
8) G2: 62-98Hz (EEG=high gamma; subconscious and muscle activity)
9) M1: 104.5~144 Hz (EEG=primarly muscle activities)
10) M2: 156.5~256Hz. (All bands are excluding the utility pollution bands).
In addition to graphs and meter-values we also show a spectogram which gives color values for the strength of each frequency and records several minutes history how this is changing.
The M1nd Indexes are calculated from the total meter-strengths, the correlations and the general variations.
Miscellaneous facts and links
In our prototypes we use OP-innvovations measuring electronics. Its main features, measuring parameters and the brainwave frequency bands are all described on their homepage: www.op-innovations.com
Intellectual Property Rights:
Our sensors and interface’s are US Patent Pending.
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