Редактирование: Mindset (раздел)

=== eSense™ Meters ===
For all the different types of eSenses (i.e. Attention, Meditation), the meter value is reported on a

relative eSense scale of 1 to 100. On this scale, a value between 40 to 60 at any given moment in time

is considered "neutral", and is similar in notion to "baselines" that are established in conventional EEG

measurement techniques (though the method for determining a inkGear baseline is proprietary and

may differ from conventional EEG). A value from 60 to 80 is considered "slightly elevated", and may

be interpreted as levels being possibly higher than normal (levels of Attention or Meditation that may

be higher than normal for a given person). Values from 80 to 100 are considered "elevated", meaning

they are strongly indicative of heightened levels of that eSense.

Similarly, on the other end of the scale, a value between 20 to 40 indicates "reduced" levels of the

eSense, while a value between 1 to 20 indicates "strongly lowered" levels of the eSense. ese levels

may indicate states of distraction, agitation, or abnormality, according to the opposite of each eSense.

An eSense meter value of 0 is a special value indicating the inkGear is unable to calculate an eSense

level with a reasonable amount of reliability. is may be (and usually is) due to excessive noise as

described in the POOR_SIGNAL Quality section above.

e reason for the somewhat wide ranges for each interpretation is that some parts of the eSense

algorithm are dynamically learning, and at times employ some "slow-adaptive" algorithms to adjust

to natural 􀃬uctuations and trends of each user, accounting for and compensating for the fact that

EEG in the human brain is subject to normal ranges of variance and 􀃬uctuation. is is part of the

reason why inkGear sensors are able to operate on a wide range of individuals under an extremely

wide range of personal and environmental conditions while still giving good accuracy and reliability.

Developers are encouraged to further interpret and adapt these guideline ranges to be 􀃫ne-tuned for

their application (as one example, an application could disregard values below 60 and only react to

values between 60-100, interpreting them as the onset of heightened attention levels).