Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions based on a therapy profile
A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.
1. A method, performed by at least one processor, for assisting in adjusting an environment of a user sleep platform, comprising:
setting localized pressure control information for adjusting localized pressure regions for portions of sleep surfaces of a plurality of sleep platforms based on a therapy profile;
setting temperature control information for adjusting temperature of the sleep surfaces based on the therapy profile;
measuring sleep quality of users using the sleep platforms;
comparing information from the plurality of different sleep platforms, the information including the measured sleep quality of the users for each of the sleep platforms;
selecting pressure control information and temperature control information among the sleep platforms based on a best sleep quality measurement;
updating control settings of the user sleep platform based on the selected pressure control information and temperature control information.
2. The method of claim 1 , wherein the comparing information from the plurality of different sleep platforms and the selecting pressure control information and the temperature control information is performed by a server remote from the user sleep platform.
3. The method of claim 2 , further comprising transmitting the selected pressure control information and temperature control information from the server to the user sleep platform.