Abstract: Various embodiments provide novel tools and techniques for providing graded exercise therapy. A system includes one or more sensors coupled to a patient, and a host machine coupled to the one or more sensors. The host machine includes a processor, and a computer readable medium in communication with the processor having encoded thereon a set of instructions executable by the processor to establish a graded exercise therapy regime for the patient, determine one or more physiologic data targets for the patient, obtain a first set of physiologic data of the patient during the graded exercise therapy regime, and update the one or more physiologic data targets based, at least in part, on the first set of physiologic data.

Abstract: The present disclosure describes systems and methods to non-invasively determine whether a patient has an autonomic dysfunction. In some implementations, the autonomic dysfunction can be a neurological dysfunction. The system can measure a patient's autonomic nervous system response to a stimulus. The stimulus can be a thermal stimulus, such as a cold temperature. The system can apply the thermal stimulus to an extremity of the patient, such as the patient's hand or arm.