Bed system with features to track changes in body weight within a sleep session using rolling windows finding high quality sensor data including low-entropy sensor data

A bed comprising:

• one or more weight sensors configured to:
• sense weight applied to the bed;
• and
• send, to a bed controller, weight readings;
• and
• the bed controller comprising memory and one or more processors, the bed controller configured to:
• receive the weight readings;
• identify epochs of the weight reading, each epoch comprising the weight readings within a time window;
• send, to a distributed platform, each epoch and a distributed algorithm configured to reduce entropy of the weight readings of each epoch, wherein the distributed platform comprises a plurality of computational nodes, each computational node comprising memory and one or more processors;
• receive, from the distributed platform, a corresponding low-entropy epoch for each epoch;
• and
• determine, using the low-entropy epoch, an epoch weight reading for each of the epochs.

A bed controller for a bed, the bed controller comprising memory and one or more processors, the bed controller configured to:

• receive weight readings from one or more weight sensors configured to sense weight applied to the bed;
• identify epochs of the weight reading, each epoch comprising the weight readings within a time window;
• send, to a distributed platform, each epoch and a distributed algorithm configured to reduce entropy of the weight readings of each epoch, wherein the distributed platform comprises a plurality of computational nodes, each computational node comprising memory and one or more processors;
• receive, from the distributed platform, a corresponding low-entropy epoch for each epoch;
• and
• determine, using the low-entropy epoch, an epoch weight reading for each of the epochs.