Abstract: A bed receives one or more data streams. The bed can provide, as input, sleep-data for the user to a disorder-risk classifier and receive, as output, a disorder-risk metric. The disorder-risk classifier can include a model defining relationships between sleep-data and disorder risk. The bed can use the disorder-risk metric for the user reflective of risk that the user will or is experiencing symptoms consistent with a disorder. The bed can intermittently update, after generating the disorder-risk metric, the disorder-risk metric using the data streams by changing the model.

Abstract: One general aspect includes a bed having a mattress. The system also includes one or more sensors configured to: sense physiological phenomenon of a user of the bed and generate one or more data streams based on the sensing of the physiological phenomenon of the user. The system also includes a computing system that may include at least one processor and computer memory, the computing-system configured to: receive the one or more data streams and generate, using the one or more data streams, an insomnia-risk metric for the user reflective of risk that the user will or is experiencing symptoms may include with insomnia.

Abstract: A system can include a foundation structure and a sensor. The foundation structure can have a plurality of deck panels configured to support a mattress. The plurality of deck panels can include a head panel. The plurality of deck panels can have a head, a foot, a first side, and a second side, a first edge along the head, a second edge along the foot opposite of the first edge, a third edge along the first side, and a fourth edge along the second side opposite the third edge. The sensor can be configured to detect a sound indicative of a snore. The sensor can be positioned along the third edge or fourth edge of the head panel.

Abstract: A system can include a foundation structure and a sensor. The foundation structure can have a plurality of deck panels configured to support a mattress. The plurality of deck panels can include a head panel. The plurality of deck panels can have a head, a foot, a first side, and a second side, a first edge along the head, a second edge along the foot opposite of the first edge, a third edge along the first side, and a fourth edge along the second side opposite the third edge. The sensor can be configured to detect a sound indicative of a snore. The sensor can be positioned along the third edge or fourth edge of the head panel.

Abstract: Disclosed are systems and methods for determining daytime alertness of users. A system can include at least one sensor for sensing physical phenomenon of a user and a computer system. The computer system can receive, from the sensor, sensor readings of the user during a sleep session, provide, as input, the sensor readings to a model that was trained to predict alertness levels of the user based on physical phenomenon of the user and/or historic data about the user and/or a population of users, receive, as output from the model, data indicating predicted alertness levels of the user for a period of time, determine behavior suggestions for the user based on the predicted alertness levels for the period of time, and generate output to be presented in a graphical user interface display to the user including at least one of (i) the predicted alertness levels and (ii) the behavior suggestions.

Abstract: Temperature sensors are configured to sense a temperature for the sleeper and transmit temperature readings. A controller is configured to receive temperature readings; and send to a heating subsystem instructions to initiate a warming process that raises a distal temperature of the sleeper more than a proximal temperature of the sleeper. The heating subsystem that may include a heating element that, when engaged, can raise the distal temperature of the sleeper more than the proximal temperature of the sleeper.

Abstract: One general aspect includes a bed having a mattress. The system also includes a sensor configured to: sense pressure of a sleeper on the mattress and transmit, to a controller, pressure data generated from the sensing of pressure of the sleeper on the mattress. The system also includes a controller may include a processor and a memory, the controller configured to receive the pressure data; identify, from the pressure data, one or more motion parameters; determine one or more cardiac measures of the sleeper from the motion parameters; determine, from the cardiac parameters, one or more neurologic measures of the sleeper; and determine, a disease state for the sleeper.

Abstract: A distal-proximal temperature-gradient of a sleeper is determined. A bed has a mattress. Temperature sensors are in an array. Each sensor is configured to: sense surface temperature of the sleeper of the bed, transmit, to a controller, temperature readings. The system also includes a controller may include a processor and memory, the controller configured to: receive, from each of the sensors, temperature readings at a particular time, access, for each temperature reading, a corresponding weight-value, determine the distal-proximal temperature-gradient for the sleeper at the particular time using the temperature readings and the corresponding weight-values.

Abstract: A bed has a mattress. One or more sensors are configured to sense one or more physical phenomena of a sleeper on the bed and generate data signals based on the sensed physical phenomena; and send, to a computing system, the data signals. A computing system comprising one or more processors and computer memory. The computing system is configured to: receive the data signals; generate, from data signals of a sleep-session of the sleeper, a feature vector of features, each feature having a feature value that represents one of the physical phenomena; and classify the sleeper into a classified physical state for the sleep session based on the feature vector.

Abstract: A bed has a mattress. A sensor senses cardiac activity of a user of the bed and sends, to computing hardware, data messages recording the sensed cardiac activity of the user. Computing hardware performs operations that include receiving the data messages from the sensor; determining, from the data messages, a heart-rate variability metric for the user at a plurality of time-points in a plurality of single sleep session; calculating, for a given sleep session using the heart-rate variability metric for the user for the given sleep session, a recovery-metric that reflects the degree of cardiac restoration that the sleep session has provided to the user; and displaying the recovery-metric in a user interface.

Abstract: A system can include a foundation structure and a sensor. The foundation structure can have a plurality of deck panels configured to support a mattress. The plurality of deck panels can include a head panel. The plurality of deck panels can have a head, a foot, a first side, and a second side, a first edge along the head, a second edge along the foot opposite of the first edge, a third edge along the first side, and a fourth edge along the second side opposite the third edge. The sensor can be configured to detect a sound indicative of a snore. The sensor can be positioned along the third edge or fourth edge of the head panel.

Abstract: A first bed that includes a first mattress, a first pressure sensor, a first acoustic sensor, and a first controller in data communication with the first pressure sensor and the first acoustic sensor. The first controller is configured to receive first pressure readings and first acoustic readings. The first controller is further configured to transmit the first pressure readings and the first acoustic readings to a remote server. A second controller is configured to receive the one or more snore classifiers. The second controller is further configured to run the received snore classifiers on second pressure readings and on second acoustic readings in order to collect one or more snore votes from the running snore classifiers. The second controller is further configured to determine a snore state of a user on the second bed and operate the bed system according to the determined snore state.

Abstract: A mattress supports a user. An acoustic sensor is configured to sense acoustic energy. A pressure sensor senses pressure applied to the mattress. A controller is configured to receive an acoustic stream from the acoustic sensor. The controller is further configured to receive a pressure stream from the pressure sensor. The controller is further configured to combine the acoustic stream and the pressure stream in order to generate a set of snore/breath parameters. The controller is further configured to determine that a home-automation rule includes a condition that includes the generated set of snore/breath parameters. The controller is further configured to, responsive to determining that a home-automation rule includes a condition that includes the generated set of snore/breath parameters, send an instruction to drive a controllable device to the controllable device.