Abstract: Methods, systems, and devices for determining pulseless electrical activity (PEA) are described. The method may include determining by using a first sensor on a person, a heart rate of the person based on sensed electrical activity of the person. A pulse rate of the person may be determined using a second sensor, the pulse rate of the person being based on at least one sensed parameter other than the sensed electrical activity. The method may then include determining a correlation of the determined heart rate and the determined pulse rate and then generating an alert event based at least in part on the correlation being outside of a predetermined threshold.

Abstract: Methods, systems, and devices for determining pulseless electrical activity (PEA) are described. The method may include determining by using a first sensor on a person, a heart rate of the person based on sensed electrical activity of the person. A pulse rate of the person may be determined using a second sensor, the pulse rate of the person being based on at least one sensed parameter other than the sensed electrical activity. The method may then include determining a correlation of the determined heart rate and the determined pulse rate and then generating an alert event based at least in part on the correlation being outside of a predetermined threshold.

Abstract: Methods, systems, and devices for predicting bed-exit of a patient are described. Methods may include receiving pressure data from a pressure sensor disposed under the patient, receiving accelerometry data from an accelerometer coupled with the patient, detecting movement of the patient based at least in part on the pressure data and the accelerometry data, and determining whether the detected movement is indicative of bed-exit based at least in part on the detected movement. Systems may include a pressure sensor configured to collect pressure data associated with movement of the patient, an accelerometer configured to collect accelerometry data associated with movement of the patient, and a central aggregator configured to determine whether the movement of the patient is indicative of bed-exit based at least in part on the collected pressure data and the collected accelerometry data.