Patent Application
20150037769
The invention relates to a method of generating information about a person's circadian time cycle for presentation in a graphical user-interface. The invention also relates to a system configured for generating information about a person's circadian time cycle for presentation in a graphical user-interface. The invention further relates to control software, provided as recorded on a computer-readable medium or as an electronic file downloadable over the Internet, for configuring a computer to generate information about a person's circadian time cycle for presentation in a graphical user-interface.
In the human being, a misalignment of the person's internal circadian rhythm with the external night/day rhythm can lead to insomnia, delayed sleep-phase disorder (DSPD), (seasonal) affective disorders, etc. The circadian rhythm is controlled by a biological clock in the brain, which has an autonomous rhythm. This biological clock is commonly referred to as the circadian clock. The circadian clock is mainly influenced by light to which the person is being exposed. See, e.g., C. A. Czeisler et al., 1989, “Bright Light Induction of Strong (type-0) Resetting of the Human Circadian Pacemaker”, Science 244, pp. 1328-1333. A person suffering from above misalignment and seeking medical advice is often prescribed light therapy in order to shift the circadian clock and to better align the person's circadian rhythm with the external night/day rhythm. Diagnostic tools, such as maintaining a sleep log (a sleep diary), or using actigraphy devices or questionnaires, are typically used within the context of light therapy.
The term “actigraphy” refers to the monitoring of a person's rest/activity cycles. Actigraphy typically includes the recording of the movements of the person and of the light exposure levels to which the person is exposed for a number of consecutive days. In particular, data about the light exposure can be used to make an estimation of the circadian phase of the person exposed to the light, in particular when the person's retinae have been exposed to light. The estimation uses a mathematical model of the human circadian clock. At Harvard Medical School (HMS), the circadian clock and the way wherein certain time cues influence the circadian clock have been extensively studied. Exposure to light, and in particular exposure to blue light, are time cues that appear to have the largest impact on the shifting of the circadian clock, as compared to other time cues that affect the circadian clock. The model comprises a set of differential equations, derived from the “van der Pol”-oscillator, well-known in the field of the study of the circadian rhythm.
For more background, see, e.g., R. E. Kronauer et al., 1982, “Mathematical Model of the Human Circadian System with Two Interacting Oscillators”, American Journal of Physiology—Regulatory, Integrative and Comparative Physiology 242, R3-R17; R. E. Kronauer, 1990, “A Quantitative Model for the Effects of Light on the Amplitude and Phase of the Deep Circadian Pacemaker, based on Human Data”, Proceedings of Sleep '90, pp. 306-309; R. E. Kronauer et al., 1999, “Quantifying Human Circadian Pacemaker Response to Brief, Extended, and Repeated Light Stimuli over the Photopic Range”, Journal of Biological Rhythms 14:6, pp. 500-515; M. A. St Hilaire et al., 2007, “Addition of a Non-Photic Component to a Light-Based Mathematical Model of the Human Circadian Pacemaker”, Journal of Theoretical Biology 247, pp. 583-599; M. A. St Hilaire et al., 2007, “A Physiologically-Based Mathematical Model of Melatonin including Ocular Light Suppression and Interactions with the Circadian Pacemaker”, Journal of Pineal Research 43, pp. 294-304; T. Morita et al., 1998, “The Influence of Different Wavelengths of Light on the Human Biological Rhythms”, Applied Human Science 17:19; M. E. Jewett et al, 1999, “Revised Limit-Cycle Oscillator Model of the Human Circadian Pacemaker”, Journal of Biological Rhythms, Vol. 14(6), pp. 493-500; and C. May et al., 2002, “A Revised Definition of Core Body Temperature Phase that incorporates both State Variables of a Limit-Cycle Human Circadian Pacemaker Model improves Model Stability at low Circadian Amplitude”, Abstracts of Society for Research on Biological Rhythms Annual Meeting, p. 217.
It is possible to compute an estimation of a person's circadian phase, i.e. an arbitrary, but well-defined, reference point in the person's circadian rhythm. The phase can be used to calculate the alignment or misalignment of the circadian rhythm to the external night/day rhythm. Within the field of physiology, the most common reference points are the wall-clock time of the dim-light melatonin onset (DLMO) or the wall-clock time at which the person's core body temperature (CBT) is minimal, also referred to as the CBT nadir. This estimation can be provided based on actigraphy, i.e., on the recordings of the level of the person's activity and of the level of light exposure. The feature “wall-clock time” refers to the time indicated by an ordinary instrument or time-piece that is used to indicate the time of the day in the time-zone wherein the clock resides, e.g., the time indicated by the clock of the Big Ben clock tower in London, UK.
Information about the temporal character of the circadian phase of a person is useful to a clinician such as a psychiatrist prescribing light therapy. However, this information does not lend itself well for daily use by a layperson, for instance, in the context of self-prescribed light therapy.
Based on the model mentioned above, it is possible to define a notion of circadian time, which can be displayed in a manner similar to the familiar wall-clock time. In contrast to the wall-clock time, the circadian time does typically not run at a constant rate, but at a varying rate determined by the circadian clock.
U.S. Pat. No. 5,140,562, issued to M. C. Moore-Ede and R. E. Mitchell and incorporated herein by reference, discloses the displaying of a person's current circadian time at a timepiece for continuously calculating and displaying the actual biological time of day of an individual. After an initial biological time of the day is entered, the timepiece runs at a pre-determined rate corresponding to the rate at which time would progress in a free-running circadian clock for the individual. When the individual is exposed to clock-altering stimuli (also referred to in the jargon as “Zeitgebers”, i.e., “time cues”), such as bright light, the timepiece computes a new operation rate based upon the relative effects of the clock-altering stimuli as determined by a phase-response curve for the individual. By combining information concerning the presence or absence of clock-altering stimuli with information concerning the effects of the stimuli, the watch is able to compute and continuously display the individual's biological time.
A disadvantage of this known timepiece is that the meaning of the biological time as indicated is still insufficiently intuitive to the user. For example, if, at 1:00 pm wall-clock time, the circadian time is displayed as 2:14 pm, it is not clear what this means other than that circadian time is ahead of the current wall-clock time. In particular for applications such as light exposure in the context of shift work, jet-lag relief, treatment of (seasonal) affective disorder, etc., this type of information is not directly usable.
C. Mott et al., 2011, “Model-Based Human Circadian Phase Estimation using a Particle Filter”, IEEE Transactions on Biomedical Engineering 58:5, pp. 1325-1336, also relates to presenting the difference between circadian time and wall-clock time, which has disadvantages similar to those of the timepiece of U.S. Pat. No. 5,140,562. The approach of Mott et al., is to present a phase-offset relative to the current wall-clock time.
The inventors propose ways for presenting the information about a person's circadian time in a more ergonomic way. The ways wherein the information about a person's circadian time is provided render themselves to a more intuitive grasping of the semantic meaning of the circadian time and its usefulness to the person.
To this end, the inventors propose a method of generating information about a person's circadian time cycle for presentation in a graphical user-interface. The method comprises determining a specific circadian time of the person that is representative of a specific circadian phase of the circadian time cycle, e.g., using a numerical model as discussed in the publications mentioned above. The method further comprises determining a specific wall-clock time coinciding with an occurrence of the specific circadian time; and using a memory that stores one or more data items. Each respective one of the one or more data items is representative of a respective past circadian time of the person and is also representative of a respective past wall-clock time coinciding with a respective past occurrence of the respective past circadian time. For example, the memory maintains a history log of circadian time samples of the person, which have been time-stamped with the wall-clock times of their occurrences. The method comprises performing at least a first series of steps or a second series of steps. The first series of steps comprises: selecting from the memory one or more particular ones of the one or more data items. Each respective one of the one or more particular data items is representative of a respective particular past wall-clock time that is compatible with the specific wall-clock time; for each respective one of the one or more particular data items determining a respective particular past circadian time. The first series of steps further comprises: determining a reference circadian time from the one or more particular past circadian times; and generating a first contribution to the information under control of a difference between the specific circadian time and the reference circadian time. The second series of steps comprises: selecting from the memory one or more special ones of the one or more data items. Each respective one of the one or more special data items is representative of a respective special past circadian time that is compatible with the specific circadian time. The second series of steps further comprises: for each respective one of the one or more special data items, determining a respective special past wall-clock time; generating a second contribution to the information under control of a respective difference between the respective special wall-clock time and the specific wall-clock time.
In the invention, the person's circadian rhythm is mapped onto basically a two-dimensional domain. One dimension of the domain relates to the circadian time (or: circadian phase) and the other dimension of the domain relates to the wall-clock time. The two-dimensional domain enables to track changes in circadian time by comparing the circadian time at compatible moments of wall-clock time, e.g., wall-clock moments that are 24 hours apart, or 168 hours apart, etc. The two-dimensional domain also enables to track changes in the wall-clock time of the occurrence of a pre-determined circadian phase, e.g., the CBT nadir over a wall-clock time-period of two or more days. Accordingly, the invention enables to visualize the changes. As a person's circadian rhythm will more or less stabilize if the person is exposed to a night/day rhythm and corresponding light exposure that are regular over a longer time-period (e.g., at least a couple of days), a change in either approach indicates to the person a possible discrepancy between his/her night/day rhythm and his/her circadian rhythm.
In an embodiment of the method of the invention, the method comprises performing the first series of steps. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 24-hours each. For example, a number of past circadian times which have been sampled at wall-clock moments 24 hours apart, are averaged, possibly using weighting factors, so as to generate the reference circadian time. The current circadian time is matched against the average so as to generate a more stable difference by eliminating day-to-day variations.
In another embodiment of the method of the invention, the method comprises performing the first series of steps. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 168-hours each. The reference circadian time is now derived from the past circadian times occurring at the same wall-clock time of the same day of the week, e.g., Wednesday, over a couple of weeks. The difference is now taking into account the fact that a large number of people lead a life with periods of weekly recurring cycles. By selecting the past circadian times as those of the same day of the week and occurring at the same wall-clock time, variations are reduced that arise from weekly lifestyle fluctuations.
In a further embodiment of the method in the invention, the method comprises performing the second series of steps. The specific circadian phase is representative of a most recent occurrence of a pre-determined phase of the circadian time cycle, e.g., the dim-light melatonin onset (DLMO) or the CBT nadir. The specific wall-clock time is a most recent wall-clock time coinciding with the most recent occurrence of the pre-determined phase. Each respective special past circadian time is representative of a respective past occurrence of the pre-determined phase. In this further embodiment, the occurrence of, e.g., the dim-light melatonin onset (DLMO) or the CBT nadir is tracked over several days, and differences in the wall-clock time of their occurrences over several days (e.g., consecutive days or the same day of consecutive weeks) are visualized
In a further embodiment of the method of the invention, the method comprises the performing of the first series of steps. The first series of steps comprises predicting a future pattern of one or more stimuli that affect the person's circadian time cycle. The first contribution comprises a prediction of a future circadian time occurring at a future wall-clock time compatible with the specific wall-clock time.
In this further embodiment, a prediction is made of the temporal pattern of stimuli that are known to affect a person's circadian rhythm. Examples of such stimuli include light exposure, and activity, as discussed above. A prediction of the temporal pattern of the stimuli can be made if the person has daily routines (e.g., working, commuting, sleeping, sporting, relaxing, shopping, tinkering with old cars, walking the dog, helping the children with their homework, etc.). The routines determine the person's light exposure. A repeated pattern in daily routines is represented in a repeated pattern of daily light exposure and, therefore, in a repeated pattern of the person's circadian rhythm over a time period of, for example, multiple consecutive days. Accordingly, a prediction can be made of the person's circadian time at a future wall-clock time compatible with the specific wall-clock time (e.g., 24 hours later). And this prediction can be visualized as a relative difference relative to the reference circadian time.
Similarly, consider a scenario wherein the method comprises the performing of the second series of steps. The second series of steps may comprise predicting a future pattern of one or more stimuli that affect the person's circadian time cycle. The second contribution comprises a prediction of a future wall-clock time at which a future circadian time occurs compatible with the specific circadian time. For example, given the wall-clock times of the occurrences of the person's CBT nadir in the past up to today, and given the prediction of temporal pattern of stimuli that the person is going to be exposed to tomorrow, a prediction can be made of the wall-clock time tomorrow, at which the person's CBT will occur. The prediction can again be visualized as a difference relative to the reference circadian time.
The invention also relates to a system configured for generating information about a person's circadian time cycle for presentation in a graphical user-interface. The system comprises a circadian engine configured for determining a specific circadian time of the person that is representative of a specific circadian phase of the circadian time cycle. The circadian engine is known in the art and comprises, e.g., a numerical model as specified in the publications referred to above. The system also comprises a clock configured for determining a specific wall-clock time coinciding with an occurrence of the specific circadian time. The system further comprises a memory and a data processor. The memory is configured for storing one or more data items. Each respective one of the one or more data items is representative of a respective past circadian time of the person and is also representative of a respective past wall-clock time coinciding with a respective past occurrence of the respective past circadian time. The data processor is configured for performing at least one of a first series of steps or a second series of steps. The first series of steps comprises: selecting from the memory one or more particular ones of the one or more data items, each respective one of the one or more particular data items being representative of a respective particular past wall-clock time that is compatible with the specific wall-clock time; for each respective one of the one or more particular data items, determining a respective particular past circadian time; determining a reference circadian time from the one or more particular past circadian times; and generating a first contribution to the information under control of a difference between the specific circadian time and the reference circadian time. The second series of steps comprises: selecting from the memory one or more special ones of the one or more data items, each respective one of the one or more special data items being representative of a respective special past circadian time that is compatible with the specific circadian time; for each respective one of the one or more special data items, determining the respective special past wall-clock time; and generating a second contribution to the information under control of a respective difference between the respective special wall-clock time and the specific wall-clock time.
The system in the invention is configured for executing the method specified above. The system may be implemented as, e.g., a device that can be worn by a person. The device has an onboard sensor sub-system to collect information about the person's light exposure, optionally, and the person's activity. The device has a graphical user-interface for presenting the information generated. Alternatively the system may be implemented as spatially distributed. That is, the sensor-sub-system, the memory, the data processor and the graphical user-interface may reside in different geographic locations and communicate with each other via a data network. The person's activity may be taken into consideration in a mathematical model (see, e.g., M. A. St Hilaire et al., 2007, “Addition of a Non-Photic Component to a Light-Based Mathematical Model of the Human Circadian Pacemaker”, Journal of Theoretical Biology 247, pp. 583-599, mentioned earlier) or in an adaption of the light exposure. As to the adaption of the light level: when the person is supposed to be in a sleeping state on the basis of the person hardly moving, it may be assumed that the person has his/her eyes closed and that, therefore, his/her retinae are not exposed to light at all.
In an embodiment of the system in the invention, the data processor is configured for performing the first series of steps. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 24-hours each.
In another embodiment of the system of the invention, the data processor is configured for performing the first series of steps. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 168-hours each.
In a further embodiment of the system in the invention, the data processor is configured for performing the second series of steps. The specific circadian phase is representative of a most recent occurrence of a pre-determined phase of the circadian time cycle. The specific wall-clock time is a most recent wall-clock time coinciding with the most recent occurrence of the pre-determined phase. Each respective special past circadian time is representative of a respective past occurrence of the pre-determined phase.
In a further embodiment of the system of the invention, the data processor is configured performing of the first series of steps. The first series of steps comprises predicting a pattern, occurring in the future, of one or more stimuli that affect the person's circadian time cycle. The first contribution comprises a prediction of a future circadian time occurring at a future wall-clock time compatible with the specific wall-clock time. Similarly, consider the scenario wherein the data processor is configured for performing of the second series of steps. The second series of steps comprises predicting a pattern, occurring in the future, of one or more stimuli that affect the person's circadian time cycle; and the second contribution comprises a prediction of a future wall-clock time at which a future circadian time occurs compatible with the specific circadian time. The generating of predictions has been discussed above.
The invention also relates to control software for configuring a data processor, or a low-performance data processing platform such as an electronic watch, or a general-purpose computer, to generate information about a person's circadian time cycle for presentation in a graphical user-interface. The control software may be provided as recorded on a computer-readable medium (e.g., a solid-state memory, an optical disk, a magnetic disk) or may be provided as an electronic file downloadable via a data network such as the Internet. The control software comprises: first instructions for determining a specific circadian time of the person that is representative of a specific circadian phase of the circadian time cycle; second instructions for determining a specific wall-clock time coinciding with an occurrence of the specific circadian time; third instructions for using a memory that stores one or more data items, each respective one of the one or more data items is representative of a respective past circadian time of the person and is representative of a respective past wall-clock time coinciding with a respective past occurrence of the respective past circadian time; and at least one of: fourth instructions for performing a first series of steps and fifth instructions for performing a second series of steps. The fourth instructions comprise: sixth instructions for selecting from the memory one or more particular ones of the one or more data items, each respective one of the one or more particular data items being representative of a respective particular past wall-clock time that is compatible with the specific wall-clock time; seventh instructions for determining, for each respective one of the one or more particular data items, a respective particular past circadian time; eighth instructions for determining a reference circadian time from the one or more particular past circadian times; and ninth instructions for generating a first contribution to the information under control of a difference between the specific circadian time and the reference circadian time. The fifth instructions comprise: tenth instructions for selecting from the memory one or more special ones of the one or more data items, each respective one of the one or more special data items being representative of a respective special past circadian time that is compatible with the specific circadian time; eleventh instructions for determining, for each respective one of the one or more special data items, the respective special past wall-clock time; and twelfth instructions for generating a second contribution to the information under control of a respective difference between the respective special wall-clock time and the specific wall-clock time.
In an embodiment of the control software, the control software comprises the fourth instructions. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 24-hours each.
In another embodiment of the control software, the control software comprises the fourth instructions. The specific circadian time is a current circadian time representative of a current circadian phase. The specific wall-clock time is a current wall-clock time coinciding with the occurrence of the current circadian time. Each respective particular past wall-clock time precedes the current wall-clock time by a respective integer number of wall-clock time-periods of 168-hours each.
In a further embodiment of the control software, the control software comprises the fifth instructions. The specific circadian phase is representative of a most recent occurrence of a pre-determined phase of the circadian time cycle. The specific wall-clock time is a most recent wall-clock time coinciding with the most recent occurrence of the pre-determined phase. Each respective special past circadian time is representative of a respective past occurrence of the pre-determined phase.
In a further embodiment of the control software, the control software comprises the fourth instructions for performing the first series of steps. The fourth instructions comprise thirteenth instructions for predicting a pattern, occurring in the future, of one or more stimuli that affect the person's circadian time cycle. The first contribution comprises a prediction of a future circadian time occurring at a future wall-clock time compatible with the specific wall-clock time. Similarly, consider the scenario, wherein the control software comprises the fifth instructions for performing the second series of steps. The fifth instructions comprise fourteenth instructions for predicting a pattern, occurring in the future, of one or more stimuli that affect the person's circadian time cycle. The second contribution comprises a prediction of a future wall-clock time at which a future circadian time occurs compatible with the specific circadian time. The generating of predictions has been discussed above.
The invention is explained in further detail, by way of example and with reference to the accompanying drawing, wherein:
Throughout the Figures, similar or corresponding features are indicated by same reference numerals.
The circadian engine 102 is a module of known functionality, and implemented in hardware, or in software, or in a combination of hardware and software. The circadian engine 102 runs a circadian model of a person. The circadian model comprises, e.g., the circadian model disclosed in M. A. St Hilaire et al., 2007, “Addition of a Non-Photic Component to a Light-Based Mathematical Model of the Human Circadian Pacemaker”, Journal of Theoretical Biology 247, pp. 583-599, mentioned above, that has, for example a numerical integrator. The circadian engine 102 receives input from the sensor sub-system 104.
The sensor sub-system 104 comprises one or more light sensors for sensing light incident on the sensor-sub-system. The sensor sub-system 104 supplies light samples to the circadian engine 102. Each respective one of the light samples is representative of the light to which the person is being exposed per respective one of a sequence of time-periods, e.g., the intensity of the light and/or the intensity of the light per interval of wavelength to which the person has been exposed over a single time period. The sensor sub-system 104 also comprises one or more motion sensors for sensing the movements of the person. The sensor sub-system 104 supplies motion samples to the circadian engine 102. Each respective one of the motion samples is representative of a respective activity of the person per respective one of the sequence of time-periods.
Each specific one of the light samples and each specific one of the motion samples comprises a specific time-stamp so as to be able to associate the specific light sample and the specific motion sample with a wall-clock time at which the sensor sub-system 104 was generating the specific light sample and the specific motion sample The specific time-stamp may be added by the sensor sub-system 104 upon generation of the specific light sample and the specific motion sample, or by the circadian engine 102 upon receipt of the specific light sample and the specific motion sample.
As known, once the circadian engine 102 has been initialized and has been synchronized to the person's circadian rhythm, the circadian engine 102 generates respective output data indicative of a respective circadian time (or: circadian phase) of the person under control of the input from the sensor sub-system 104.
The current output data from the circadian engine 102 is stored in the memory 106 together with the current wall-clock time-stamp that ties the current circadian time to the current wall-clock time.
The wall-clock time is kept by, e.g., a clock (not shown) local to the circadian engine 102 or local to the sensor-sub-system 104, or by a clock (not shown) that is external to the circadian engine 102 and external to the sensor sub-system 104, and that sends a wireless clock signal to a receiver (not shown) local to the circadian engine 102 or local to the sensor sub-system 104 so as to enable the circadian engine 102 or the sensor sub-system 104 to add the wall-clock time stamps.
The current output data from the circadian engine 102 is also supplied to the data processor 108.
The data processor 108 is configured to process the current output data from the circadian engine in order to control the UI sub-system 110 for providing information based on the person's current circadian time that is representative of a current circadian phase of the person at the current wall-clock time. For example, the data processor 108 is a general-purpose data processor running dedicated control software 109. The data processor 108 determines the current circadian time from the current output data received from the circadian engine 102. The data processor 108 consults the memory 106 that stores a plurality of past output data from the circadian engine 102. Each respective past output data is representative of respective past circadian time indicative of a respective past circadian phase of the person at a respective past wall-clock time. The data processor 108 selects one or more particular ones of the respective past wall-clock times as will be explained further below, and determines a reference circadian time. The reference circadian time is derived from one or more particular ones of the respective data, representative of one or more particular ones of the respective past circadian times at the one or more particular ones of the respective past wall-clock times selected in the previous step. The data processor 108 then determines a difference between the current circadian time and the reference circadian time, and generates the information under control of the difference, e.g., for presentation in a graphical user-interface (GUI) 112 of the UI sub-system 110.
Thus, the difference between the current circadian time and the reference circadian time is presented in the GUI 112. The difference is represented, for example, on a one-dimensional scale that enables the person to see in one glance a magnitude as well as a polarity of the difference. The one-dimensional scale comprises a set of calibrated numerical markings against which a pointer moves.
In the diagram of
The diagram of
The diagram of
In jet-lag applications, circadian phase advances or circadian phase delays occur as a result of travelling and in dependence on the direction of travel. A person will experience an advance in circadian phase with regard to the wall-clock time at his/her geographical position after having travelled west by plane. The person will experience a delay in his/her circadian phase with regard to the wall-clock time at his/her geographical location after having travelled east by plane. In order to help the person adapt to the new time zone at his/her destination the person may be guided by the information presented in the GUI 112. For example, various one-dimensional scales may be combined or another pointer (not shown), e.g., of another color, may indicate a desired shift in circadian phase.
The diagram of
In this way, a steady circadian time that exhibits a regular course will give rise to differences of relatively small magnitude, whereas a steadily adapting circadian time may give rise to daily differences of significant magnitude and with positive or negative polarity, depending on the direction of adaptation.
Above examples illustrate the displaying of the difference between the current circadian time and the past circadian time of one or more successive days ago. An alternative is to display the difference between the current circadian time and the past circadian time of exactly one week ago (i.e., of exactly 168 hours ago); or the difference between the current circadian time and a reference circadian time formed by an average of the past circadian time of exactly one week ago (i.e., of exactly 168 hours ago), the past circadian time of exactly two weeks ago (i.e., of exactly 336 hours ago), the past circadian time of exactly three weeks ago (i.e., of exactly 504 hours ago), etc. In this manner, day-to-day variations are eliminated which occur as a result of the person's having working days and non-working days, or as a result of the person's regular activities having a weekly pattern that varies widely from day to day. Other arrangements may be implemented, for instance, based on an 8-day week.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/IB2013/051803 | 3/7/2013 | WO | 00 |
| Number | Date | Country | |
|---|---|---|---|
| 61607649 | Mar 2012 | US |
