United States Patent |
5,356,368
|
Monroe
| October 18, 1994
|
Method of and apparatus for inducing desired states of consciousness
Abstract
Improved methods and apparatus for entraining human brain patterns,
employing frequency following response (FFR) techniques, facilitate
attainment of desired states of consciousness. In one embodiment, a
plurality of electroencephalogram (EEG) waveforms, characteristic of a
given state of consciousness, are combined to yield an EEG waveform to
which subjects may be susceptible more readily. In another embodiment,
sleep patterns are reproduced based on observed brain patterns during
portions of a sleep cycle; entrainment principles are applied to induce
sleep. In yet another embodiment, entrainment principles are applied in
the work environment, to induce and maintain a desired level of
consciousness. A portable device also is described.
Inventors:
|
Monroe; Robert A. (Nelson County, VA)
|
Assignee:
|
Interstate Industries Inc. (Faber, VA)
|
Appl. No.:
|
664176 |
Filed:
|
March 1, 1991 |
U.S. Class: |
600/28; 128/732 |
Intern'l Class: |
A61M 021/00 |
Field of Search: |
600/26-28
128/731-732
|
References Cited [Referenced By]
U.S. Patent Documents
2466054 | Apr., 1949 | Siebel.
| |
3160159 | Dec., 1964 | Hoody et al..
| |
3576185 | Apr., 1971 | Schulz et al..
| |
3712292 | Jan., 1973 | Zentmeyer, Jr..
| |
3753433 | Aug., 1973 | Bakerich et al..
| |
3826243 | Jul., 1974 | Anderson.
| |
3837331 | Sep., 1974 | Ross.
| |
3884218 | May., 1975 | Monroe.
| |
4034741 | Jul., 1977 | Adams et al..
| |
4141344 | Feb., 1979 | Barbara.
| |
4227516 | Oct., 1980 | Meland et al..
| |
4335710 | Jun., 1982 | Williamson.
| |
4573449 | Mar., 1986 | Warnke.
| |
4834701 | May., 1989 | Masaki.
| |
4883067 | Nov., 1989 | Knispel et al. | 600/28.
|
5036858 | Aug., 1991 | Carter et al..
| |
5101831 | Apr., 1992 | Koyama et al. | 600/26.
|
Primary Examiner: Cohen; Lee S.
Assistant Examiner: Lacyk; J. P.
Attorney, Agent or Firm: Sughrue, Mion, Zinn, Macpeak & Seas
Claims
1. A method of inducing desired states of consciousness in human beings,
comprising the following steps:
combining a plurality of replicated electroencephalogram (EEG) waveforms,
each indicative of a particular desired state of consciousness, to produce
a combined EEG waveform;
superimposing said combined EEG waveform on two separate sets of carrier
waves using stereo sound;
creating differential beat frequencies between said sets of carrier waves
based on said superimposing step; and
providing the resulting signals in audio form to respective ears of a human
being, to induce said state of consciousness.
2. A method as claimed in claim 1, wherein said combining step comprises
mathematically averaging said EEG waveforms to produce said combined EEG
waveform.
3. A method as claimed in claim 1, further comprising the step of repeating
said combining, superimposing, and creating steps for each of a set of
desired states of consciousness, and producing a cycle of sets of
resulting audio signals, said providing step comprising providing said
cycle of sets of resulting audio signals to respective ears of a human
being, to induce each of said desired states of consciousness in cyclic
fashion.
4. A method as claimed in claim 3, wherein said cycle corresponds to human
sleep patterns, said desired states of consciousness comprising
wakefulness, alpha sleep, delta sleep, and theta sleep.
5. A method as claimed in claim 3, wherein said cycle corresponds to human
sleep patterns, said desired states of consciousness comprising alpha
sleep, delta sleep, and theta sleep, said cycle being approximately 90
minutes long.
6. A method as claimed in claim 5, said method further comprising the steps
of providing a plurality of repetitions of said cycle, followed by
providing a set of audio signals containing a binaural beat at a frequency
indicative of beta consciousness.
7. A method as claimed in claim 1, wherein said creating step includes the
step of combining pink sound with said sets of carder waves by shifting of
said pink sound with respect to said combined EEG waveform from one stereo
audio channel to another, with cyclic changes in amplitude, frequency, and
rate of panning.
8. Apparatus for facilitating sleep in a human subject, comprising:
means for setting a wake-up time to select a desired sleep duration;
means for generating a first sequence of signals in a cycle corresponding
to a human sleep pattern, frequencies of said signals in said first
sequence being substantially equal to frequencies of human brain patterns
at different levels of sleep;
means for repeating said cycle a plurality of times based on the selected
wake-up time; and
means for waking up said human subject at the selected wake-up time.
9. Apparatus as claimed in claim 8, wherein said means for waking up said
human subject comprises means for generating a second sequence of signals
a predetermined time before the selected wake-up time, frequencies of said
signals in said second sequence being substantially equal to frequencies
of human brain patterns at or near an awakened state.
10. Apparatus as claimed in claim 9, wherein said predetermined time is
approximately five minutes.
11. Apparatus as claimed in claim 8, wherein said first sequence of
frequencies comprises, in order, alpha frequencies, theta frequencies,
delta frequencies, and theta frequencies.
12. Apparatus as claimed in claim 8, further comprising means for
generating phased pink sound in conjunction with said first sequence of
frequencies.
13. Apparatus as claimed in claim 8, wherein said first sequence of signals
comprises a plurality of sets of combined brainwaves, each of said sets
corresponding to a different level of sleep, said combined brainwaves
within a given set being constituted by combined electroencephalogram
(EEG) waveforms of a plurality of individuals, taken when said individuals
had attained a different respective level of sleep.
14. Apparatus as claimed in claim 13, wherein said EEG waveforms are
mathematically averaged.
15. Apparatus for awakening an individual using brain pattern entrainment,
said apparatus comprising:
means for selecting a wake-up time;
means for keeping time; and
means, operative a predetermined period before said wake-up time as
determined by said means for keeping time, for producing a first sequence
of signals having frequencies in the theta-alpha range, followed by a
second sequence of signals having frequencies in the beta-gamma range.
16. Apparatus as claimed in claim 15, wherein said means for producing said
first and second sequences of signals comprises means for producing said
second sequence of signals at a higher amplitude than said first sequence
of signals.
17. Apparatus as claimed in claim 15, wherein said first sequence of
signals comprises a plurality of sets of combined brainwaves, each of said
sets corresponding to a different level of consciousness, said combined
brainwaves within a given set being constituted by combined
electroencephalogram (EEG) waveforms of a plurality of individuals, taken
when said individuals had attained a different respective level of
consciousness.
18. Apparatus as claimed in claim 16, wherein said EEG waveforms are
mathematically averaged.
19. Apparatus for inducing a desired state of consciousness, said apparatus
comprising:
means for detecting presence of a predetermined level of ambient noise;
means, responsive to said detecting means, for generating signals having
frequencies substantially equal to frequencies of human brain patterns
when said ambient noise is present; and
means for selecting said signals in accordance with desired human activity
in said areas.
20. Apparatus as claimed in claim 19, further comprising timer means,
connected to said generating means, for generating said signals for a
predetermined time set by said timer means.
21. Apparatus as claimed in claim 19, wherein said timer means is connected
to said selecting means to enable selection of different ones of said
signals in accordance with desired human activity at different times of
day.
22. Apparatus as claimed in claim 19, wherein said generating means
comprises means, responsive to said detecting means, for increasing an
amplitude of said signals in response to an increase in amplitude of said
ambient noise, and for decreasing an amplitude of said signals in response
to a decrease in amplitude of said ambient noise.
23. Apparatus as claimed in claim 22, wherein said generating means further
comprises means for discontinuing said signals when said ambient noise
falls below said predetermined level.
24. Apparatus as claimed in claim 19, wherein said generating means
comprises a digital signal processor and a read-only memory (ROM)
connected to said digital signal processor, said ROM storing a plurality
of sets of signals, each of said sets of signals having frequencies
substantially equal to human brain patterns at a desired state of
consciousness.
25. Apparatus as claimed in claim 24, wherein each of said sets of signals
comprises a plurality of sets of combined brainwaves, each of said sets
corresponding to a different level of consciousness, said combined
brainwaves within a given set being constituted by combined
electroencephalogram (EEG) waveforms of a plurality of individuals, taken
when said individuals had attained a different respective state of
consciousness.
26. Apparatus as claimed in claim 25, wherein said EEG waveforms are
mathematically averaged.
27. Apparatus for awakening an individual using brain pattern entrainment,
said apparatus comprising:
means for selecting a wake-up time; and
means, operative a predetermined period before said wake-up time, for
producing a first sequence of signals having frequencies in a first
predetermined range corresponding to a first state of consciousness,
followed by a second sequence of signals having frequencies in a second
predetermined range corresponding to a second state of consciousness.
28. Apparatus as claimed in claim 27, wherein said first predetermined
range is the theta-alpha range, and said second predetermined range is the
beta-gamma range.
Description
CROSS-REFERENCE TO RELATED APPLICATION
The present application is related to copending application No. 07/514,460,
filed Apr. 16, 1990 now U.S. Pat. No. 5,213,562.
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to an improved method of inducing desired
states of consciousness, including different levels of sleep, in human
beings, using a technique known as frequency following response (FFR),
developed by the present inventor. The invention also relates to apparatus
for performing the method. A number of areas of applicability of the
invention are described, in accordance with different preferred
embodiments.
2. Description of the Background Art
In a prior patent, U.S. Pat. No. 3,884,218, the present inventor described
a method of inducing different levels of sleep, using the FFR technique,
in which brain waves could be made to follow superimposed frequency
patterns. These frequency patterns were provided as sine waves, at
frequencies known to correspond to different levels of sleep, such as
alpha (exhibiting brain wave activity in the range of 8-12 Hz), theta (6-8
Hz), and delta (1-4 Hz). EEGs exhibiting frequencies between 12 and 30 Hz
(known as a beta range) are characteristic of awake individuals, though
beta activity at even higher frequencies has been observed in different
types of mental activities. Gamma activity has been characterized as all
activity above 30 Hz; until recently, it has not been possible to monitor
brain activity in the gamma range. (It should be noted that the boundaries
between gamma and beta, beta and alpha, alpha and theta, and theta and
delta are somewhat arbitrary; the foregoing delineations are intended to
be exemplary and not limiting.)
The present inventor discovered that the human brain could be entrained to
output brain wave patterns these different frequencies. While frequencies
corresponding to these different levels of sleep are not audible, by
superimposing those frequencies on some type of sound, such as music, it
was determined to be possible to induce desired levels of sleep. The
individual listening to the music would "hear" the low frequencies, with
the desired effect on brain activity.
An improvement on the inventor's patented technique, to induce varied
states of alertness, is the subject of copending Application No.
07/514,460, the contents of which are hereby incorporated herein by
reference. This copending application describes a general FFR technique
using what is known as a binaural beat phenomenon, details of which are
provided in that application. Briefly, a binaural beat is produced by
sending signals at different frequencies (some Hz apart, depending on the
desired effect) to an individual's left and right ears. The difference
between the frequencies defines the frequency of the binaural beat. Using
this technique, the desired frequency can be introduced into the
individual's brain activity, inducing the desired state of consciousness.
The induction of FFR in the human brain in this manner results in the
synchronization of activity in the hemispheres of the brain. FIG. 1A shows
brain activity without FFR, and FIG. 1B shows brain activity with FFR. The
inventor has coined the term HEMI-SYNC (for Hemisphere Synchronization) to
describe this phenomenon.
The copending application describes a technique wherein, in one form, sine
waves having a frequency corresponding to a consciousness state are
superimposed on two different carrier frequencies to form two different
signals to set up the binaural beat. In another form, an actual brain
pattern, based on an electroencephalogram (EEG) waveform indicative of
that consciousness state is superimposed on the different carrier
frequencies to form two different signals. In use, each signal is provided
to one ear of a subject. The difference in carrier frequencies sets up the
binaural beat.
Another, more limited application of the binaural beat phenomenon is found
in U.S. Pat. No. 4,834,701. In contrast to the narrow range of frequencies
discussed in that patent, in the above-mentioned copending application,
the applicability of the binaural beat phenomenon is investigated over a
much wider range of frequencies, spanning the spectrum of brain activity.
Through additional investigation involving mapping of brain activities of
different individuals, the present inventor has discovered some
significance to the fact that, while brain waves at certain frequencies
are characteristic of different levels of sleep, brain patterns of
different individuals still vary. The inventor has investigated possible
enhancements to the FFR effect by making it more generic among
individuals, yet still more specific to brain activity than a simple sine
wave, or an EEG of a particular individual.
Another area of investigation being performed by the present inventor
relates to human sleep patterns. Based on current knowledge of human sleep
patterns, it appears that sleep is composed of a series of 90-minute
cycles. As stated earlier, the beta stage is one of alertness. The first
sleep state is alpha, or mental and physical relaxation. The second is
theta, or light sleep. Next is delta, or deep sleep. The inventor has
investigated the possibility of providing FFR waveforms in cyclic
patterns, replicating these human sleep patterns, to facilitate sleep.
Another possibility is to take advantage of the cyclic nature of sleep
patterns to provide a more gentle wake-up for a sleeper.
In considering the need for alertness during activities such as work, the
inventor also considered how it might be possible to introduce FFR
waveforms into ambient noise in one's surroundings to facilitate
maintenance of desired states of consciousness. Particularly in
environments such as factories, or in offices where office equipment puts
out consistent types of noise, it would be desirable to be able to
introduce a binaural beat into that noise at different frequencies, to
enhance the degree of alertness of factory or office workers as desired.
SUMMARY OF THE INVENTION
In view of the foregoing, according to one aspect of the invention, EEGs
for a number of individuals in different states of consciousness are
sampled, and EEG waveforms for the group of individuals, corresponding to
each identifiable state of consciousness, are combined. A binaural beat
then is generated using the combined EEGs.
According to this aspect of the invention, it has been determined that
using groups of EEG waveforms from different individuals and combining
them to obtain a representative waveform yields a waveform that a person's
brain is more likely to replicate than an individual EEG waveform, or a
sine wave representation of the EEG waveform. The combination may be
simple averaging, though other combination techniques, such as weighted
averaging, for combining different numbers of EEG waveforms as desired,
are contemplated. Now that the inventor has discovered that combinations
of EEG waveforms provide a particularly effective entrainment environment,
it will be seen that various ways of combining these waveforms may yield
greater or lesser effects.
In accordance with another aspect of the invention, a method for
replicating cyclic sleep patterns for a desired sleep period is provided.
In a preferred embodiment according to this aspect of the invention, a
subject is led from beta, to alpha, to theta, to delta, then back to
theta, then alpha, then a rapid-eye movement (REM) or light dreaming
sleep, in a sequence of 90-minute cycles, during a sleep period of desired
duration. After the expiration of the period, the subject may wake up
voluntarily. Alternatively, the invention can provide a gentle external
stimulus to lead the subject to a beta state.
With respect to this aspect of the invention, an apparatus is provided
which automatically leads an individual through these cyclic sleep
patterns, and enables the individual to set a desired sleep period. This
device preferably takes advantage of the techniques to be described
relative to the first-mentioned aspect of the invention, but is not so
limited. The inventive contributions of this second aspect of the
invention are considered to lie in the combination of hardware itself
which generates the desired sequence of binaural beats, as opposed to the
particular software which determines the nature of those binaural beats.
In one form, the invention is constituted by an alarm clock which provides
a fade-in theta-alpha signal followed by a strong beta-gamma signal
shortly before a desired wake-up time.
According to yet another embodiment of the invention, selectable
mind-affecting sound patterns are provided to supplement constant ambient
noise in any environment. When the noise is not present, the patterns are
not provided. The patterns vary in amplitude in accordance with changes in
the environmental noise.
In accordance with still another embodiment of the invention, a portable
system is provided to enable the wearer to introduce binaural beat signals
of frequencies that are selectable in accordance with a desired level of
awareness. Depending on the level of sophistication of the device, the
binaural beat may be generated using the combined EEG waveforms of the
first aspect of the invention, but this last aspect of the invention is
not so limited.
BRIEF DESCRIPTION OF THE DRAWINGS
The foregoing and other aspects of the invention will be understood by
those of working skill in this technological field by reference to the
following detailed description of the preferred embodiments of the
invention, read in conjunction with the accompanying drawings, wherein:
FIGS. 1A-1C and 1D-1F taken from the above-mentioned copending application,
show one example of the results which can be achieved using the inventive
techniques;
FIG. 2 is a block diagram of the hardware according to a second embodiment
of the invention, and FIGS. 3-5 are more detailed schematics therefor;
FIGS. 6A-6J are drawings, similar to FIGS. 1A and 1B, but showing brain
activity during various stages of a sleep cycle, using a technique in
accordance with the second embodiment of the invention;
FIG. 7 is a block diagram of hardware in accordance with a third embodiment
of the invention;
FIG. 8A is a block diagram of hardware in accordance with a fourth
embodiment of the invention, and FIG. 8B a schematic of that hardware; and
FIGS. 9A-9M are graphs of different possible effects of the embodiment of
FIGS. 8A and 8B, showing a baseline brain pattern, selected stimulus
frequencies and corresponding stimulus waves, and associated response
waves.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
The method according to a first preferred embodiment of the invention,
which has been developed through extensive experimentation, derives from
the empirically-observed phenomenon that brain patterns of human subjects
are entrained more readily to brain patterns which more closely match
their own. In prior implementations of the FFR technique, such as in the
inventor's prior patent, in which sine waves having frequencies
corresponding to desired levels of sleep were superimposed upon a given
frequency, entrainment did occur. Use of the binaural beat phenomenon
yielded better results, through synchronization of the hemispheres of the
brain.
However, simple repetitive frequencies, or even combinations of such
frequencies within different ranges, do not represent brain patterns per
se, but rather provide entrainment environments for the brain to follow.
It has been determined that, the more closely the entrainment environment
parallels normal brain function at different levels of consciousness, the
more effective the entrainment effect. This phenomenon is what led to the
improvement disclosed in the above-mentioned copending application.
As a further improvement on that technique, as mentioned above, the present
inventor investigated the possibility of creating more generic models of
brain function at different levels of consciousness. As a result of that
investigation, it was determined that combinations of EEG waveforms from
different individuals functioning at the same identifiable level of
consciousness (e.g. alpha sleep, theta sleep, or delta sleep) provided a
superior entrainment environment. In the inventive method according to
this aspect of the invention, the brain patterns of 40 to 50 individuals
were combined to yield the entrainment environment.
One area of applicability of the techniques of the present invention is in
the area of sleep therapy. Many individuals suffer from sleep disorders to
varying degrees. It is possible to provide a suitable entrainment
environment, based on known sleep cycles prevalent in humans, to help
individuals to regulate their sleep patterns, and thus help to solve their
sleep disorders. One embodiment of the invention, shown in FIG. 2 and also
in FIGS. 3-5, implements the inventive techniques in what the inventor
calls a Sleep Processor to aid in the regulation of human sleep cycles.
In FIG. 2, a read-only memory (ROM) 10 stores frequency sequences
corresponding to different parts of a human sleep cycle. The stored
frequency sequences may be in accordance with a predetermined algorithm,
or alternatively may provide a less complex entrainment environment, such
as simple averaging. A digital signal processor (DSP) 20 selects different
ones of these sequences based on the current time and the time to which an
alarm is set. The time is displayed on display 30, and is set using time
set 40. The alarm is set to a desired wake-up time using alarm set 50.
During operation, the DSP 20 accesses the ROM 10 and provides an output to
a pulse code modulator unit (PCM) 60 accordingly. The PCM 60 provides an
output to each of left and right channel speakers 70, 80 which are
provided in close proximity to the ears of a human subject. Using
headphones enhances the effect.
Some additional detail of operation of the DSP 20 in one aspect of this
embodiment now will be provided. A serial port in the DSP 20 generates an
interrupt at a 50 KHz rate. An interrupt handler in the DSP 20 computes
the various sounds, in one form, by generating sine waves using a pair of
integrators:
cosine=cosine+frequency.times.sine
sine=sine-frequency.times.cosine
The Sleep Processors needs ten frequencies, five for each channel, and all
of these frequencies are generated at the same time. The results are
multiplied by ten envelopes, most of which are zero at any moment.
Noise is generated by a well-known 16-bit shift-register algorithm. This
algorithm generates a noise signal that repeats every 65535 samples, or
about every five seconds. The noise is filtered to sound more like pink or
red noise, and less like white noise, and is written into a delay line in
RAM. For each channel, the filtered noise is averaged with an earlier
sample from the delay line, thus imparting a comb filter response to it.
An additional low-frequency sine/cosine pair is generated, to sweep the
comb filter delay. 32-bit arithmetic is used here. The approximate sweep
rate is about 1/8 Hz. The low-frequency sine wave is used directly to
sweep the delay on one channel. The delay on the other channel is
controlled by some mix of the sine and cosine waves. By choosing these and
other coefficients properly, any phase and amplitude relationship between
the left and right sweep can be obtained. The comb filtered noise for each
channel is multiplied by a noise envelope value.
The device is operated as follows. A desired wake-up time is set, much like
an alarm clock, and the desired volume is selected. A start/stop button
then is pressed to start the cycles for the selected sleep period.
Throughout the sleep period, the device repeats a 90 minute cycle of sound
that leads the subject through alpha, theta, delta, and back to dreaming
sleep. Five minutes before the scheduled wake-up time, a beta signal is
introduced to bring the subject back to complete physical wakefulness.
When the subject wakes up, he/she hits the start/stop button again to stop
the sound sequence.
The sounds produced by the DSP 20 include binaural beat carrier sound
patterns utilizing both amplitude and frequency modulation, masking pink
sound (a known type of sound described in the copending application), and,
optionally, occasional single-word voiced affirmations. The binaural beat
audio signals may be in the form of appropriate sine waves, or
alternatively may be replicas of actual EEG brain waveforms. In the latter
case, either the just-described combined EEG waveforms or a single EEG
waveform (as described in the copending application) may be used. The
entire pattern of sound and control is generated algorithmically.
One aspect of the effectiveness of the device of FIGS. 2-5 is the spacing
of sound carriers at related frequencies so as to engender binaural beat
signals not only from channel to channel, but also monaurally, in each
audio channel. In this preferred embodiment, three binaural beat frequency
signals are created between audio carrier channels, and two amplitude
beats per channel also are created, yielding a total of seven beat
signals. The inventor has coined the term Septon for this set of beat
signals. One example of a septon is as follows:
______________________________________
Left Channel Right Channel
______________________________________
200 Hz carrier
(4 Hz binaural beat)
204 Hz carrier
(4 Hz monaural (4 Hz monaural beat)
beat)
204 Hz carrier
(4 Hz binaural beat)
208 Hz carrier
(4 Hz monaural (4 Hz monaural beat)
beat)
208 Hz carrier
(4 Hz binaural beat)
212 Hz carrier
______________________________________
A standard program according to this preferred embodiment would employ the
following sound sequence:
0-5 minutes:
Signal Group A (comprised of replicated EEG waveforms having dominant
values in the alpha range)
Signal Group B (15 dB below Group A, generated simultaneously with the
sounds of Group A, and comprised of replicated EEG waveforms having
dominant values in the theta range)
Phased Pink Sound (six seconds, peak-to-peak, on both left and right
channels, 20 dB below Group A)
Voice Inserts (repeated at 40 second intervals, 10 dB below Group A,
simultaneously with the other sounds, and comprising short sequences of
phrases like "relax" "let go", and "sleep")
5-20 minutes:
Signal Group B
Signal Group C (20 dB below Group B, generated simultaneously with Group B,
and comprised of replicated EEG waveforms having dominant values in the
delta range)
Phased Pink Sound (15 dB below Group B, having a duration as in the first
interval)
Voice Inserts (10 dB below Group B, comprised as above)
20-40 minutes:
Signal Group C
Signal Group D (10 dB below Group C, generated simultaneously with Group C,
and comprised of replicated EEG waveforms having dominant values in the
lower delta range)
Phased Pink Sound (10 dB below Group C, having a duration as in the first
interval)
Voice Inserts (20 dB below Group C, comprised as above) 40-65 minutes:
Signal Group D
Phased Pink Sound (10 dB below Group D, having a duration as in the first
interval)
Voice Inserts (20 dB below Group D, comprised as above) 65-80 minutes:
Signal Group C
Signal Group D (10 dB below Group C, generated simultaneously with Group C)
Phased Pink Sound (15 dB below Group C, having a duration as in the first
interval)
NO voice inserts
80-90 minutes:
Signal Group B
Signal Group C (10 dB below B, generated simultaneously with Group B)
Phased Pink Sound (15 dB below Group B, having a duration as in the first
interval)
NO voice inserts
The foregoing sequence is repeated through the sleep period until the
wakeup sequence, approximately five minutes before the set wake-up time:
Signal Group AA (a wakeup sequence, comprising replicated EEG waveforms
having dominant values in the beta range, or alternatively a 400 Hz/416 Hz
envelope yielding frequencies in the beta range)
Voice inserts (10 dB below Group AA, comprised of short phrases such as
"waking up", "refreshed", "bright", and repeated at intervals)
One variation of the foregoing embodiment is an alarm clock which, instead
of sounding a loud alarm or other jarring noise at wake-up time, starts a
gentle sequence of signals some minutes before, to bring an individual up
gently through the various levels of sleep to full wakefulness. A fade-in
theta-alpha signal may be provided, followed by a stronger beta-gamma
signal.
FIGS. 6A to 6J show the effects of the just-described "sleep processor"
embodiment. Column 1 shows distribution of delta frequencies; column 2
shows distribution of theta frequencies; and column 3 shows distribution
of alpha frequencies. The top row of graphs is the actual pattern observed
in the individual, and the bottom row is the baseline pattern.
FIG. 6A corresponds to a normal waking state. Dominant alpha activity is
shown in the occipital area of the brain. In FIG. 6B, pink noise has been
applied, without any beat frequencies. A narrower focus of waking state is
shown.
In FIG. 6C, a signal sequence corresponding to Signal Group A has been
applied. Some gain in theta frequencies are seen, with rapid diffusion of
alpha frequencies and movement toward the vertex of the head. In FIG. 6D,
a signal sequence corresponding to Signal Group B has been applied. There
is further diffusion of alpha frequencies, with some movement of delta and
theta activity toward the pre-frontal cortex of the brain.
In FIG. 6E, a signal sequence corresponding to Signal Group C has been
applied. There is rapid diffusion of alpha frequencies, and increased
power of theta and delta frequencies. In FIG. 6F, a signal sequence
corresponding to Signal Group D has been applied. Alpha frequencies are
diffused further toward the pre-frontal cortex, and there is a marked
increase in theta and delta frequencies.
FIG. 6G, continuing application of Signal Group D frequencies, shows a
marked increase in delta activity in the pre-frontal cortex, with a steady
decrease in alpha activity at the vertex. In FIG. 6H, another binaural
beat stimulation has been applied, and characteristics of stage 3 and 4
sleep may be observed. In FIG. 6I, further evidence of the further
binaural beat stimulation is observed. Delta is the dominant frequency
here. Alpha and theta activity has moved to the prefrontal cortex.
Finally, FIG. 6J shows early awakening activity, with a diffusion of delta
activity.
FIG. 7 is a block diagram of hardware in accordance with another embodiment
of the invention, having application to the work environment, or anywhere
a constant source of noise is present, to allow workers, for example, to
maintain a desired state of awareness. The device may contain suitable
digital signal processor circuitry, as in the preceding embodiment. One
difference is that the operation of the device is keyed to the presence of
ambient noise, not to a given time duration or selected sleep period.
The device of FIG. 7 includes a sound generator 200 which, as just
mentioned, may comprise a digital signal processor. The generator 200
outputs sound patterns via one or more speakers (left and right channel
speakers 210, 220 are shown). A sound level detector 230 detects the level
of ambient noise in the room, and provides a signal to the sound generator
200, or activates a cut-off switch (not shown), to discontinue output of
the sound generator 200 when the ambient noise level drops below a
predetermined level.
The sound level detector also preferably provides a signal to the sound
generator 200 to boost the sound pattern output when the ambient noise
level increases, so that the effect of the provision of the sound pattern
is commensurate with the noise level in the room. Alternatively, the user
may simply adjust the volume manually, using one or more knobs (not shown)
on the sound generator 200.
A timer 240 may be provided to control the duration of provision of the
selected sound pattern, or even to change the sound pattern at different
times of day by controlling a selector 250 which the user accesses to
select a particular sound pattern to be output. The user may select a
given sound pattern in the morning, and the timer 240 may change that
pattern automatically, based on a need at different times of day for sound
patterns providing different states of alertness.
The sound pattern produced by the device of FIG. 7 varies automatically in
amplitude in accordance with changes in the ambient noise, and is
discontinued when the noise stops. As a result, the sound remains
unobtrusive. Depending on the setting, the produced sound pattern can
enhance wakefulness, promote relaxation (as, for example, in rest areas in
the workplace), reduce anxiety and stress, or focus attention, among other
characteristics.
The basic system of FIG. 7 produces and inserts four different sound
patterns which are selected manually so as to merge the output into the
constant ambient noise. More sound patterns are possible, depending on the
desired overall capabilities of the system. Various modifications are
possible. For example, a programmable version may be provided, which
changes the form of the sound patterns throughout a work day or night, in
accordance with the responses desired.
Selectability of patterns may be accomplished differently in a model
intended for use in conjunction with a computer system. The computer
operator can input a selection, and may vary that selection as desired
throughout the work day.
FIG. 8A is a diagram of a portable embodiment of the invention, for use in
providing a desired level of consciousness on an individualized basis. A
signal generator 300 preferably includes a digital signal processor 310
and a ROM 320 for storing predetermined signals or sequences of signals
which correspond to various desired states of awareness. The signal
generator 300 may be a simple tone generator or pair of tone generators
which provide outputs to speakers or headphones 330 (such as button-sized
headphones) to set up a binaural beat. Output of pink sound or phased pink
sound by the generator 300 is desirable to facilitate defocusing of the
listener and consequent ability to concentrate on the sounds being
produced. A selector 340 enables a user to instruct the signal generator
300 to output signals corresponding to the level of consciousness (e.g.
focused concentration, relaxation, alertness) that a user desires.
FIG. 8B shows a schematic of this embodiment, which the inventor calls a
"Mood Minder". This embodiment includes a selector for selecting one of
four possible types of signals, corresponding to four respective levels of
awareness: awake and alert; concentration; attention; and relaxation.
However, the invention is not so limited, as the generator 300 may be
capable of producing other possible types of signals. Alternatively,
pre-set patterns in the generator 300 may vary when specialized use is
required. The key to this embodiment is its portability, enabling the user
to carry the device everywhere. The device is battery-operated, and is
small enough to fit in an upper coat pocket, for example.
FIGS. 9A-9M show examples of prestored patterns produced by the generator
300, and of results achieved in use. FIG. 9A shows baseline brain waves,
with relative power output shown at the right for different frequencies.
FIGS. 9B, 9E, 9H, and 9K show the stimulus frequencies produced for four
different respective states of consciousness. FIGS. 9C, 9F, 9I, and 9L
show the stimulus waves corresponding to the superposition of the stimulus
frequencies on the baseline wave. FIGS. 9D, 9G, 9J, and 9M show the
results achieved in use. As can be seen, the peak-to-peak amplitudes for
the response brain waves correspond closely to those of the stimulus
waves.
While the present invention has been described in detail with reference to
preferred embodiments, various modifications within the scope and spirit
of the invention will be apparent to those of working skill in this
technological field. Consequently, the invention should be considered as
limited only by the scope of the appended claims.
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