Method for predicting alertness and bio-compatibility of work schedule of an individual

• US 5,433,223 A
• Filed: 11/18/1993
• Issued: 07/18/1995
• Est. Priority Date: 11/18/1993
• Status: Expired due to Term

• Current Assignee: Martin C. Moore-Ede
• Original Assignee: Martin C. Moore-Ede, Ross E. Mitchell
• Inventors: Moore-Ede, Martin C., Mitchell, Ross E.
• Primary Examiner(s): Smith, Ruth S.
• Application Number:
  US08/154,359
• Time in Patent Office: 607 Days
• Field of Search: 128/630, 128/731, 128/732, 128/898
• US Class Current: 128/898
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A method enables the prediction of the likely alertness level of an individual at a given point in time based upon the analysis of certain biological and other parameters associated with the individual subject including, circadian phase of the biological clock, accumulated acute or chronic sleep deprivation, shift commencement and termination time, time of last sleep, environmental light, etc. Among other advantages, the method facilitates the creation of bio-compatible schedules for shift workers by providing an accurate model of the likely alertness level of the individual on a specific schedule.

Claims

1. A method of predicting the alertness of an individual, said method comprising the steps of receiving a plurality of initial alertness data of said individual, adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed, computing data representative of the predicted alertness level for said individual based upon said adjusting of said initial alertness data, and providing said predicted alertness level data in a processable format, said processable format selected from the group consisting of humanly-sensible and machine-readable formats.

2. The method of claim 1 wherein said receiving said plurality of initial alertness data of said individual comprises receiving a plurality of data selected from the group consisting of age, home time zone, morning/evening tendency, sleep/wake diary data, currently acclimatized shift/sleep schedule, shift/duty times, and rules for probable sleep-wake pattern.

3. The method of claim 1 wherein said adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed comprises adjusting alertness-modifying stimuli selected from the group consisting of nap, caffeine ingestion, alcohol ingestion, sleep deprivation, sleep restriction, photostimulation, sleep phase, and bright light.

4. The method of claim 1 wherein said providing said predicted alertness level data in a humanly-sensible format consists of providing said data as printed output.

5. The method of claim 1 wherein said providing said predicted alertness level data in a machine-readable format consists of providing said data as electronic impulses.

6. A method for determining the bio-compatibility of a given work schedule for an individual, said method comprising the steps of receiving a plurality of initial alertness data of said individual, adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed, computing modified alertness data for said individual based upon said adjustments to said initial alertness data, determining the bio-compatibility of said work schedule by comparing said modified alertness data during said proposed work schedule to a minimum acceptable alertness level, and supplying said determination in a processable format, said processable format selected from the group consisting of humanly-sensible and machine-readable formats.

7. The method of claim 6 wherein said receiving said plurality of initial alertness data of said individual comprises receiving a plurality of data selected from the group consisting of age, home time zone, morning/evening tendency, sleep/wake diary data, currently acclimatized shift/sleep schedule, shift/duty times, and rules for probable sleep-wake pattern.

8. The method of claim 6 wherein said adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed comprises adjusting alertness-modifying stimuli selected from the group consisting of nap, caffeine ingestion, alcohol ingestion, sleep deprivation, sleep restriction, photostimulation, sleep phase, and bright light.

9. The method of claim 6 wherein said supplying said determination in a humanly-sensible format consists of supplying said determination as printed output.

10. The method of claim 6 wherein said supplying said determination in a machine-readable format consists of supplying said determination as electronic impulses.

11. The method for selecting a bio-compatible work schedule for an individual, said method comprising the steps of receiving initial alertness data of said individual, receiving at least one proposed schedule for said individual, adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed, computing modified alertness data for said individual based upon said adjusting of said initial alertness data, selecting said bio-compatible work schedule based on said modified alertness data, and supplying said selection determination in a processable format, said processable format selected from the group consisting of humanly-sensible and machine-readable formats.

12. The method of claim 11 wherein said receiving said plurality of initial alertness data of said individual comprises receiving a plurality of data selected from the group consisting of age, home time zone, morning/evening tendency, sleep/wake diary data, currently acclimatized shift/sleep schedule, shift/duty times, and rules for probable sleep-wake pattern.

13. The method of claim 11 wherein said adjusting said initial alertness data based upon a plurality of predetermined alertness-modifying stimuli to which said individual is exposed comprises adjusting alertness-modifying stimuli selected from the group consisting of nap, caffeine ingestion, alcohol ingestion, sleep deprivation, sleep restriction, photostimulation, sleep phase, and bright light.

14. The method of claim 11 wherein said supplying said selection determination in a humanly-sensible format consists of supplying said selection determination as printed output.

15. The method of claim 11 wherein said supplying said selection determination in a machine-readable format consists of supplying said selection determination as electronic impluses.