Abstract: Systems and methods for automatic health data processing are disclosed. One or more complaints are extracted from question and answer data of an automated patient interview. A parent-child symptom mapping is referenced to identify a respective parent symptom corresponding to each complaint. Based on the question and answer data, a presence or absence of evidence of the child symptoms associated with each identified parent symptom is determined. The child symptoms are categorized into a positive or negative category based on the determination. An object is generated that includes, for each of the complaints, a positive and negative list of any of the child symptoms included in the positive and negative category, respectively. The object is processed to generate a history of present illness (HPI) portion of a notation in a graphical format. The notation is stored in the patient's electronic health record, and a healthcare provider notification is transmitted.

Abstract: A treadmill assembly that includes a frame and a treadmill belt. In addition, a sensor produces a signal representative of an aspect of the user's position relative to at least one point on the frame. A belt rotation assembly turns the belt with a speed related to the signal. In one preferred embodiment the speed of the belt is inversely proportional to the distance between the user and the front of the treadmill. In another preferred embodiment the treadmill is sized to support a cycle.

Abstract: A treadmill assembly that includes a frame and a treadmill belt. In addition, a sensor produces a signal representative of an aspect of the user's position relative to at least one point on the frame. A belt rotation assembly turns the belt with a speed related to the signal. In one preferred embodiment the speed of the belt is inversely proportional to the distance between the user and the front of the treadmill. In another preferred embodiment the treadmill is sized to support a cycle.