A blood pressure monitor includes a processor configured to control a cuff pressure and calculate blood pressure information of a subject based on a cuff pressure signal representing the cuff pressure and a pulse wave signal superimposed on the cuff pressure signal. The processor calculates first blood pressure information of the subject who has maintained a recumbent position for a prescribed time period, maintains the cuff pressure at a first pressure lower by a prescribed value than a systolic blood pressure included in the first blood pressure information, determines if an amplitude of the pulse wave signal is equal to or greater than a threshold value when the cuff pressure is maintained at the first pressure and the subject is in an upright position, assesses an autonomic nerve function of the subject based on a result of the determination, and outputs a result of the assessment.

Method and system embodiments for controlling power provided to a device implantable in a subject are described. In some embodiments, a method is performed at the implantable device to receive, from an interrogator, powering ultrasonic waves having a wave power. Then, energy from the powering ultrasonic waves is converted into an electrical signal to power the implantable device. Information that indicates whether more power or less power should be transmitted to the implantable device is transmitted to the interrogator.

A system comprises a sensor device and processing circuitry. The sensor device comprises a housing configured to be disposed above shoulders of a patient, a plurality of electrodes on the housing, a motion sensor, and sensing circuitry configured to sense a brain electrical signal and a cardiac electrical signal via the electrodes, and a motion signal via the motion sensor. The processing circuitry is configured to determine values over time of one or more parameters from the brain electrical signal, determine values over time of one or more parameters from the cardiac electrical signal, and generate at least one of a detection, prediction, or a classification a condition of the patient based on the values and the motion signal.

Methods for treating medical disorders, such as migraine or other primary headaches, or fibromyalgia, by electrical stimulation of a nerve. The method comprises applying a first stimulus to a patient having a medical condition and measuring a first baseline physiological response from the patient. An electrical impulse is applied to a nerve within the patient and second stimulus is applied to the patient. A second physiological response evoked by the second stimulus is measured and compared to the first baseline physiological response. The methods may be used to optimize the placement of a stimulator, to test whether a patient is a suitable candidate for treatment using nerve stimulation, and/or to select the stimulation parameters that optimize acute or chronic treatment.

Provided herein are methods, devices and compositions for assessing neuromodulation efficacy based on changes in the level of one or more biomarkers in plasma or urine collected from a human subject following a renal neuromodulation procedure.

Network analysis of a patient's neuro-cardio-respiratory system can be performed to detect an impending crisis, diagnose an abnormality, and/or provide informative feedback about a treatment regime. A system can receive data recorded by one or more recording devices from a patient. The data is time varying and related to two or more organs of the patient's neuro-cardio-respiratory system that are monitored. The system can estimate directional interactions between the two or more organs within the patient's body over time via a mathematical analysis of the data to identify one or more pathologies in a network of the neuro-cardio-respiratory system. When the one or more pathologies are identified, the system can provide the advance warning of the impending crisis, the diagnosis of the abnormality, or the informative feedback for the treatment regime.

A neurostimulation system includes a programming control circuit and a user interface. The programming control circuit may be configured to generate a plurality of stimulation parameters controlling delivery of neurostimulation pulses according to one or more neurostimulation programs each specifying a pattern of the neurostimulation pulses. The user interface includes a display screen, a user input device, and a neurostimulation program circuit. The neurostimulation program circuit may be configured to allow for construction of one or more pulse trains (PTs) and one or more train groupings (TGs) of the one or more neurostimulation programs, and to allow for scheduling of delivery of the one or more neurostimulation programs, using the display screen and the user input device. Each PT includes one or more pulse blocks each including a plurality of pulses of the neurostimulation pulses. Each TG includes one or more PTs.

Disclosed is a system for monitoring physiological parameters during a medical interventional procedure involving high intensity/energy radiofrequency electrical currents/voltages applied through a body of a subject, the system including an electrode-based sensor, configured to close an electrical conduction path passing through a body of a subject, and one or more non-electrode-based sensors, a plurality of electrical lines, a monitor, and a filter array including EMI filters mounted at specific locations and characterized by a frequency response curve having a magnitude of an attenuation in a first frequency range (typical of operating frequencies of high intensity/energy radiofrequency medical interventional equipment), which is greater than a magnitude of an attenuation in a second frequency range (typical of the sampling frequencies of the electrode-based sensor and the one or more non-electrode-based sensors), the system being thereby configured for suppressing noise induced by the medical interventional equipment.

A driver abnormality determination apparatus includes circuitry configured to detect a driver state of a driver of a vehicle, detect a driving operation of the driver, detect an exertion level of an involuntary function of the driver based on the driver state, detect an exertion level of a driving function of the driver based on the driving operation; and determine driver abnormality based on the execution level of the involuntary function and the execution level of the driving function. On condition that a function level of one of the execution level of the involuntary function and the execution level of the driving function is equal to or lower than a specified determination criterion, the circuitry is configured to relax a determination criterion for the other function level.

Provided are a means to detect a plurality of dynamics, a processing unit that calculates a temporal change in the detected dynamics, and an evaluation device that determines exacerbation of clinical conditions in heart failure of a patient based on the calculated change in the patient's dynamics over time. The present invention makes it possible to detect, early and with high accuracy, that the onset of acute heart failure is imminent.