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.

A controller-based apparatus for diagnosis and treatment of a subject with acquired brain injury and dysfunction. Various embodiments of the invention described herein recognize that different body postures affect the autonomic nervous system differently, and therefore various external stimuli may have different therapeutic efficacies when a patient or subject is in each body posture. Postures, such as walking, sitting, standing, prone and supine, have different effects on the autonomic nervous system, and therefore some stimuli have different physiological efficacies while a patient or subject is in a given body posture. Disclosed embodiments of the present invention leverage this relationship to provide a controller-based apparatus that determines a combination of posture and stimulus that has optimal therapeutic effect, while minimizing health practitioner involvement. The controller based apparatus provides a treatment that stimulates the nervous system through a combination of noninvasive therapies that stimulate brain cells to increase their efficiencythis promotes the formation of pathways that help transfer information throughout the brain in such a way that in the end, the affected area of the brain and overall brain function are improved without medication or surgery.

Arousal events can be determined for a user associated with a wearable device, such as a user wearing a wearable computing device including one or more sensors. The one or more sensors may obtain EDA information that may determine a sympathetic nervous system response of the user, which may be responsive to an arousal event or an activation. Detection of events that increase the EDA response may provide information to the user regarding arousal events and provide recommendations to the user to address the arousal events to decrease their response.

An intravascular catheter for peri-vascular nerve activity sensing or measurement includes multiple needles advanced through supported guide tubes (needle guiding elements) which expand with open ends around a central axis to contact the interior surface of the wall of the renal artery or other vessel of a human body allowing the needles to be advanced though the vessel wall into the perivascular space. The system also may include means to limit and/or adjust the depth of penetration of the needles. The catheter also includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened needles are advanced to penetrate into the vessel wall. The addition of an injection lumen at the proximal end of the catheter and openings in the needles adds the functionality of ablative fluid injection into the perivascular space for an integrated nerve sending and ablation capability.

The process for classifying anesthetic depth includes: collecting of biological signals, conditioning of said signals, monitoring of activity of the central and autonomic systems, measurement of indexes and classification of patterns in anesthetic depth. The activity includes: i) Awake: VigilAk. and recovery of verbal responseRc. ii) Light Anesthesia: Light induction anesthesiaLi. Light recoveryLr, Light dose, increase in drugs or patient movement (La), iii) General anesthesia: General anesthesiaGa, one minute after the start of the surgery, and iv) Deep anesthesia: identification of the EEG burst-suppression pattern (BSP) associated with deep anesthesia.

System, method and apparatus for enabling caregivers to predict when people need supports, make better clinical decisions in the moment, provide more supports remotely and/or directly through technology independent of caregivers, and learn the optimal intervention for each individual in order to prevent crises and enhance outcomes. This may be done through capturing autonomic nervous system, biometric, environmental, and clinical data and applying machine learning to determine predictive modeling equations on a per-person basis with prompts for the person, activation of remote monitoring systems, modifications to the environment, or alerts to caregivers the moment that a predictive variable exceeds its individualized statistical control limit.

A monitoring system may include a processor and display system for displaying results from the monitoring. A user may be in a sterile field away from the processor and display system and selected input devices. A controller may be physically connected to the monitoring system from the sterile field to allow the user to control the monitoring system.

An apparatus (10) for generating biofeedback, in particular during a relaxation exercise for lowering blood pressure, comprises at least one interface (12, 13) for receiving a pulse wave signal that represents a pressure pulse or volume pulse of a pulse wave in a blood circulation system as a function of time and an ECG signal. The apparatus (10) comprises an evaluation device (11) that is configured to determine a pulse transit time on the basis of the pulse wave signal and the ECG signal, perform an evaluation of a pulse wave form of the pulse wave signal and generate the biofeedback (31) depending on the pulse transit time and/or the evaluation of the pulse wave form. The apparatus (10) comprises an output interface (14, 30) for providing the biofeedback (31).

An intravascular catheter for nerve activity ablation and/or sensing includes one or more needles advanced through supported guide tubes (needle guiding elements) which expand to contact the interior surface of the wall of the renal artery or other vessel of a human body allowing the needles to be advanced though the vessel wall into the extra-luminal tissue including the media, adventitia and periadvential space. The catheter also includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened needles are advanced to penetrate into the vessel wall. Electrodes near the distal ends of the needles allow sensing of nerve activity before and after attempted renal denervation. In a combination embodiment ablative energy or fluid is delivered from the needles in or near the adventitia to ablate nerves outside of the media while sparing nerves within the media.

Methods for treating a patient using therapeutic renal neuromodulation and associated devices, systems, and methods are disclosed herein. One aspect of the present technology is directed to biomarker sampling in the context of neuromodulation devices, systems, and methods. Some embodiments, for example, are directed to catheters, catheter systems, and methods for sampling biomarkers that change in response to neuromodulation. A system can include, for example, an elongated shaft and a neuromodulation and sampling assembly having a neuromodulation and a sampling element.