Abstract: A thermal control unit supplies temperature controlled fluid to one or more thermal pads used to control the temperature of a patient. The thermal control unit includes a fluid outlet, fluid inlet, heat exchanger, pump, and a controller. The controller receives first and second data from at least two different sources to determine if the patient is shivering or not. The two different sources may include a temperature sensor adapted to detect a temperature of the fluid, a temperature sensor adapted to detect a temperature of the patient, a tissue oxygenation sensor, a vibration/motion sensor, a thermal image sensor, an electromyograph, and/or other sensors. In some embodiments, the thermal control unit takes one or more automatic actions in response to detection of patient shivering.

Abstract: A patient support apparatus, such as a bed, stretcher, cot, or the like, includes a frame, a support surface, a control, a controller, and a transceiver. The patient support apparatus employs one or more machine learning techniques to perform one or more of the following: automatically implement one or more user-preferred settings, automatically predict the occurrence of one or more events based on analyses of prior events, and/or automatically improve one or more algorithms based on analyses of additional sensor data. The machine learning techniques may be implemented onboard the patient support apparatus and/or may be implemented at a remote computer device (e.g. a server) that collates and analyzes data from multiple patient support apparatuses, and then sends the results of the analyses back to the patient support apparatuses.