Optimized individual sleep patterns
AssigneeInternational Business Machines Corporation
InventorsMahmoud Amin, Zhenxing Bi, Lawrence A. Clevenger, Leigh Anne H. Clevenger, Krishna R. Tunga
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Abstract
Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.
Claims12
A computer-implemented method for generating a sleep optimization plan, the method comprising:
- receiving, by a processor, genetic data for a user, the genetic data comprising a presence of a gene polymorphism in BTBD9, TOX3, BC034767, MEIS1, MAP2K/SKOR1, or PTPRD;
- receiving, by the processor, Internet of Things (IoT) device data for the user;
- generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data;
- correcting the sleep duration measurement based on the presence of the gene polymorphism;
- and
- generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data and the corrected sleep duration measurement.
A computer-implemented method for generating a sleep duration estimate, the method comprising:
- receiving, by a processor, sleep-motion genetic data for a user, the sleep-motion genetic data comprising a presence of a gene polymorphism in BTBD9, TOX3, BC034767, MEIS1, MAP2K/SKOR1, or PTPRD;
- sensing, by a motion sensor in an IoT network, user motion;
- generating, by the processor, a preliminary wakeful period identification based at least in part upon the sensed user motion;
- generating, by the processor, a corrected wakeful period identification based at least in part upon the presence of the gene polymorphism in the sleep-motion genetic data;
- and
- generating, by the processor, a user sleep duration estimate based at least in part upon the corrected wakeful period identification.
Dependencies are inferred from the claim text.