Circadian-friendly LED light sources
Methods and apparatus for providing circadian-friendly LED light sources are disclosed. A light source is formed to include a first LED emission (e.g., one or more LEDs emitting a first spectrum) and a second LED emission (e.g., one or more LEDs emitting a second spectrum) wherein the first and second LED emissions are combined in a first ratio and in a second ratio such that while changing from the first ratio to the second ratio the relative circadian stimulation is varied while maintaining a color rendering index above 80.
1. A method for controlling circadian stimulation (CS) in a location, said method comprising:
(a) obtaining data on at least one measurable parameter in said location;
(b) determining a first spectrum of light to increase CS, and a second spectrum of light to decrease said CS; and
(c) causing at least one lighting device positioned at said location to switch between said first spectrum and said second spectrum in accordance with said data, wherein said lighting device comprises at least blue LEDs and violet LEDs, wherein the ratio of emissions from said blue LEDs to said violet LEDs is greater in said first spectrum than in said second spectrum.
2. The method of claim 1 , wherein step (a) comprises using machine learning to learn first habits and second habits of a subject from said data, and wherein step (c) comprises switching between said first spectrum and said second spectrum when said subject demonstrates said first habits or said second habits, respectively.
3. The method of claim 2 , wherein said first and second habits are correlated to time of day, and wherein, if said first habits or said second habits are demonstrated outside of their correlated time of day, then said at least one lighting device is caused to emit said second spectrum or said first spectrum, respectively.
4. The method of claim 2 , wherein said at least one measurable parameter is selected from one or more of the following: presence of subject in said location, movement of subject in said location, level of activity of subject, time of day, weather, change in weather, or outdoor light.
5. The method of claim 2 , wherein said subject is a person in a nursing home, or wherein said subject is a worker working a night shift, or wherein said subject is a person traveling across time zones.
6. The method of claim 2 , wherein step (b) involves receiving preference input from said subject.
7. The method of claim 2 , wherein said first habits are awakening habits and second habits are retiring habits.
8. The method of claim 1 , wherein said first and second spectrums have a color rendering index above 80.
9. The method of claim 1 , wherein said first spectrum has a first fraction of SPD between 440 and 500 nm, and said second spectrum has a second fraction of SPD between 440 and 500 nm, wherein said first fraction is greater than said second fraction.
10. The method of claim 9 , wherein said first fraction is at least 0.1 and said second fraction is no greater than 0.06.
11. The method of claim 1 , wherein said blue LEDs and said violet LEDs are independently driven.
12. The method of claim 11 , wherein a filter is also used to form said second spectrum.
13. The method of claim 12 , wherein said filter essentially absorbs all light between 450 and 490 nm.
14. The method of claim 13 , wherein light emitted from said lighting device with and without said filter are observed by human viewers as having substantially the same chromaticity.
15. The method of claim 1 , wherein step (c) also comprises at least one of reducing correlated color temperature (CCT) from said first spectrum to said second spectrum, or reducing light intensity of said lighting device from said first spectrum to said second spectrum.
16. A system for controlling circadian stimulation (CS) in a location, said system comprising:
one or more sensors for obtaining data on at least one measurable parameter in said location;
at least one lighting device positioned at said location to switch between a first spectrum and a second spectrum in accordance with said data, wherein said lighting device comprises at least blue LEDs and violet LEDs, wherein the ratio of emissions from said blue LEDs to said violet LEDs is greater in said first spectrum than in said second spectrum, wherein said first spectrum is configured to increase CS, and said second spectrum is configured to decrease said CS.
17. The system of claim 16 , further comprising a processor configured to use machine learning to learn first habits and second habits of a subject from said data, and to cause said at least one lighting device to switch between said first spectrum and said second spectrum when said subject demonstrates said first habits or said second habits, respectively.
18. The system of claim 17 , wherein said first and second habits are correlated to time of day, and wherein, if said first habits or said second habits are demonstrated outside of their correlated time of day, then said at least one lighting device is caused to emit said second spectrum or said first spectrum, respectively.
19. The system of claim 16 , wherein said blue LEDs and said violet LEDs are independently driven in said at least one lighting device.
20. The system of claim 19 , wherein said at least one lighting device also comprises a filter which is configured to emit said second spectrum.