Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

Ultrasound device configured to carry out a HIFU treatment and to detect in real time during the HIFU treatment the temperature distribution in the area of treatment, comprising: an ultrasound probe comprising at least an array of piezoelectric or CMUT transducers, —piloting means of said ultrasound probe, computing means configured to receive and store said raw ultrasound signals reflected by said tissues and acquired by each of said piezoelectric or CMUT transducers, to process said reflected raw ultrasound signals in order to generate an ultrasound image, as well as to carry out other processing on said raw ultrasound signals reflected by said tissues, characterized in that computer programs are loaded on said computing means, configured to carry out the method for determining the actual acoustic heating rate of tissues, comprising the following steps: a) identifying, inside an ultrasound image (14), a region of interest (15) inside which an area to be treated (16) is provided, b) assigning a starting temperature distribution, by means of which a temperature value is assigned to each point of ROI, c) emitting a high intensity ultrasound beam (100) focused on a focal point (11) contained in said ROI for a predetermined time interval, and subsequently a broadband ultrasound pulse (200), and detecting the ultrasound signal reflected and/or emitted by the tissues under treatment, d) carrying out the frequency transform of said reflected ultrasound signal in response to said broadband ultrasound pulse (200), in order to obtain a reference frequency spectrum (200s), e) repeating steps c) and d) iteratively, thus obtaining a frequency spectrum for each iteration, f) assuming that the temperature at the focus (11) is equal to a predetermined temperature and function of the tissue in the treatment step when the frequency spectrum (202s) detected in response to a broadband ultrasound pulse (202) comprises a plurality of peaks (2021) not provided in the reference frequency spectrum (200s), g) determining the actual acoustic heating rate Q as a function of said predetermined temperature, of the intensity of said high intensity ultrasound beam (100).

A diagnostic method for monitoring changes in a fluid medium in a patient's head. The method includes positioning a transmitter at a first location on or near the patient's head, the transmitter generates and transmits a time-varying magnetic field into a fluid medium in the patient's head responsive to a first signal; positioning a receiver at a second location on or near the patient's head offset from the transmitter, the receiver generates a second signal responsive to a received magnetic field at the receiver; transmitting a time-varying magnetic field into the fluid medium in the patient's head in response to the first signal; receiving the transmitted magnetic field; generating the second signal responsive to the received magnetic field; and determining, a phase shift between the transmitted magnetic field and the received magnetic field for a plurality of frequencies of the transmitted time-varying magnetic field.

A system for monitoring the respiratory activity of a subject, which comprises one or more movement sensors, applied to the thorax of a subject, for generating first signals that are indicative of movement of the thorax of the subject; a receiver for receiving the first generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The computing device is operable to generate a first breathing pattern from the first signals; divide each respiratory cycle experienced by the subject and defined by the first pattern into a plurality of portions, each of the portions delimited by two different time points and calculate, for each of the plurality of portions of a given respiratory cycle of the first pattern, a slope representing a thorax velocity; derive, from the given respiratory cycle of the first pattern, a pulmonary air flow rate of the subject during predetermined portions of the respiratory cycle; compare between corresponding portions of the first pattern and average flow rates during different phases of the breathing cycle, to calibrate a thorax velocities of the subject with pulmonary air flow rates; and determine respiratory characteristics of the subject for subsequent respiratory cycles experienced by the subject, based on a calculated thorax velocity and the calibration.

The invention relates to an active implantable medical device comprising a processing unit able to be alternately operated during a predetermined period of activity and on standby during a standby period in a cyclical manner, and means for acquiring data relating to physiological and/or physical activity. The device also comprises means for calculating a frequency analysis of the data acquired, said calculating means being capable of successively perform part of the frequency analysis during periods of activity of the processing unit.

Disclosed is a multi-mode beam former, comprising a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization model to obtain a beam-forming weight coefficient for performing linear or non-linear combination on the multi-mode input signal. The optimization model comprises an optimization formula for obtaining the beam-forming weight coefficient. The optimization formula comprises: establishing an association between at least one electroencephalogram signal and a beam forming output, and optimizing the association to construct the beam-forming weight coefficient associated with the at least one electroencephalogram signal.

Systems, methods, and devices for automatic generation of a stimulation therapy that mimics electrographic activity in the brain at natural seizure termination define a stimulation therapy to be generated by an implanted component of a medical device system and delivered to a subject through identifying data characterizing a patient's seizures, especially at termination. A machine learning model identifies the seizures or seizure types from which to establish a canonical seizure or seizure type, and an algorithm translates the canonical seizure or seizure type into data that can be used to characterize a stimulation therapy. The systems, methods, and devices, include those configured to deliver the stimulation therapy that emulates the canonical seizure or seizure type when the seizure is detected, with the aim of terminating the seizure sooner than it would terminate without intervention.

A medical data processing apparatus according to one embodiment includes processing circuitry. The processing circuitry obtains a compressed channel of data generated by compressing a plurality of first medical channels of data defined by first domain representation and respectively corresponding to a plurality of components, via an intermediate channel of data defined by second domain representation. The processing circuitry decodes the compressed channel of data to a second medical channel of data defined by the first domain representation based on a conversion process from the plurality of first medical channels of data to the compressed dataset.

Parametric model based computer implemented methods for determining the stiffness of a bone and systems for estimating the stiffness of a bone in vivo. The computer implemented methods include determining a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f) and independently fitting a parametric mathematical model to Y(f) and to H(f). The systems include a device for measuring the stiffness of the bone in vivo and a data analyzer to determine a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f).

A pulse sensor is capable of measuring a pulse rate of a wearer at a peripheral artery. In an embodiment, the pulse sensor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet may include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles. A system and method may measure hydration includes using a pulse sensor to measure pulse rate and modulation. The wearer is prompted when the pulse rate and pulse modulation indicate a response to dehydration of the wearer.