Abstract: Systems and methods for providing a computer-generated visualization of EEG data are disclosed. Raw EEG data generated from a multi-channel EEG headset (or other device) may be received. The EEG data may be run through a fast Fourier transform (FFT) to separate out various frequency components in each channel, isolating the brain wave components for each channel. A visual display may be generated based on the isolated components comprising a first display portion and a second display portion. The first display portion may comprise a geometrical mesh with predefined parameters representing the portions of a crystal. The second display portion may comprise a time-varying color visualization based on the variance of the brain waves. A composite computer display in which the first display portion is overlaid over the second display portion may be generated and provided via a display device.

Abstract: A device that enables an assessment or a management of a medical condition in a patient, includes a base member comprising a pair of surface spaced apart from each other to define a thickness of the base member. The base member can be provided as an elongated base member. Markings are disposed on one surface from the pair of surfaces of the elongated base member along a length of the elongated base member. An array of targets is provided with targets being disposed, during use of the device, below a bottom edge of the elongated base member. Coupling members are also provided with each coupling member coupling a respective target from the array of targets to the elongated base member for a reciprocal linear movement along the length of the elongated base member. The device can be affixed to a structure or provided as a mobile device.

Abstract: A biometric information processing device (1) includes a brain wave detecting unit (10), a control unit (20), and a movement assisting unit (30). The brain wave detecting unit (10) detects biometric information in at least one brain region from among a plurality of brain regions that are selectable in accordance with a body part that is a target of function recovery or function improvement. The control unit (20) determines, based on the detected biometric information, at least one activity state in the brain including the location of the brain region(s) that is (are) activated in a subject while attempting to move the body part, and an activation level of such activated brain region(s). When the control unit (20) determines that the at least one activated state of the brain satisfies a predetermined condition, the movement assisting unit (30) executes a predetermined motion to assist movement of the body part.

Abstract: Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for treatment of anxiety. Described are methods and devices to treat anxiety that involves no medication. Methods and devices described herein use alternating magnetic fields to gently “tune” the brain and affect symptoms of anxiety.

Abstract: A system of seizure detection including one or more processing circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal. The one or more processing circuit are configured to perform a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant, perform a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure.

Abstract: In some examples, a processor is configured determine whether efficacy of therapy delivered by a medical device to the patient may have changed and generate a notification based on the determination. For example, a processor may be configured to determine whether a bioelectrical brain signal indicative of activity of a brain of a patient includes a biomarker that indicates efficacy of therapy delivered by a medical device to the patient may have changed, and generate notification based on determining the bioelectrical brain signal includes the biomarker. In some examples, the processor modifies the therapy delivered to the patient prior to generating the notification.

Abstract: Noninvasive methods and apparatus for detecting blood volume imbalances in a mammalian subject are disclosed. The method includes obtaining baseline measurements of at least three physiological parameters from a subject wherein the parameters are selected from the group consisting of heart rate, electrical body impedance, skin temperature, perfusion index, peripheral blood flow and skin humidity. Measurements of electrical body impedance, skin temperature, perfusion index, peripheral blood flow and skin humidity are taken at one or more extremities of the subject such as the calf, ankle, forearm, thigh, fingers and toes. The physiological parameters for which baseline measurements were obtained are then monitored to detect changes from the baseline measurements that indicate blood volume imbalances.

Abstract: There is provided an apparatus comprising one or more resilient members for supporting a human or other animal, wherein the one or more resilient members each comprise one or more sensor elements that are attached to and run at least partially along the length of the respective resilient member, and each of the one or more sensor elements is configured to provide an electrical response proportional to the amount of movement of the respective resilient member.

Abstract: One example of a system includes a local user system to interact with an implantable medical device and a local input device communicatively coupled to the local user system to generate local events. To operate the local user system, the local user system is to receive local events from the local input device and remote events from a remote user system communicatively coupled to the local user system via a medical device remote access system. The local user system is to process a local event and ignore a remote event in response to receiving a local event and a remote event simultaneously.

Abstract: A tissue property sensing system includes a sensing assembly that is movable along a drive screw and includes an outer shaft, an anvil, a center drive, a piston, and a tension spring. The piston includes a distal arm having a distal portion and a head that extends from the distal portion. The piston is movable within the outer shaft to move the head in relation to the anvil between an open configuration and a closed configuration, wherein in the closed configuration, the head of the piston and the anvil are positioned to clamp and occlude flow of blood within tissue. The tension spring is coupled to the center drive and to the piston to urge the piston towards the center drive and to urge the head of the piston towards the anvil.

Abstract: The present invention herein is a method and apparatus that significantly limits the effect of high frequency (“HF”) interferences on acquired electro-physiological signals, such as the EEG and EMG. Preferably, this method comprises of two separate electronic circuitries and steps or electronics for processing the signals. One circuit is used to block the transmission of HF interferences to the instrumentation amplifiers. It is comprised of a front-end active filter, a low frequency electromagnetic interference (“EMI”) shield, and an isolation barrier interface which isolates the patient from earth ground. The second circuit is used to measure the difference in potential between the two isolated sides of the isolation barrier. This so-called “cross-barrier” voltage is directly representative of the interference level that the instrumentation amplifier is subjected to. This circuit is used to confirm that the acquired signals are not corrupted by the interference.

Abstract: The biotelemetry device (100) comprises a microcontroller (101) for generating an electrical setpoint signal (CS); a radio antenna (103) for transmitting an electromagnetic wave (EMS) by converting an incident electrical signal (IS); a radiofrequency circuit (102), interconnected between the microcontroller (101) and the radio antenna (103). The radio antenna (103) is configured such that, when the biotelemetry device (100) is placed in the biological medium (110), it can be impedance-mismatched relative to the radiofrequency circuit (102) so as to generate a reflected electrical signal (RS) by reflecting a fraction of the incident electrical signal at the same time that the radio antenna is transmitting the electromagnetic wave (EMS).

Abstract: A system 100, 200 for sensing one or more analytes in a first biofluid and a second biofluid and methods of using said system. The system 100, 200 may include a first subsystem 102, 200a, 200b with a first sensor 120, 122, 220, 222 for sensing a first analyte in the first biofluid and a second subsystem 104, 200b, 200c with a second sensor 124, 126, 222, 224 for sensing a second analyte in the second biofluid. The second analyte may be the same as or different from the first analyte and the second biofluid may be different from the first biofluid. In an embodiment, the first biofluid is a non-sweat biofluid and the second biofluid is sweat. The system 100, 200 may be used to detect lag time for measuring an analyte in one of the biofluids.

Abstract: An electronic device to acquire and analyze electroencephalogram data of the subject includes a cognitive function examination control section that presents examination data used for a cognitive function examination of the subject at the time of executing an operation having a different purpose from that of an electroencephalogram measurement, and a cognitive function analysis section that extracts an index of a cognitive function of the subject from electroencephalogram data of the subject measured when presenting examination data.

Abstract: Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events.

Abstract: A flow-directed guidewire for use in the cerebral vasculature. The flow-directed guidewire includes a guide wire with a floppy distal end (the remainder of the guide wire is sufficiently stiff to be pushable though long segments of the vasculature) and a flow-directed structure disposed on the distal tip of the distal end of the guide wire.

Abstract: An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

Abstract: A patient monitor for monitoring cerebral activity of a patient may include a processor configured to determine a depth of consciousness index for the patient based on electroencephalography (EEG) data and determine regional oxygen saturation for the patient based on regional oximetry data. Additionally, the processor may be configured to determine a metric associated with cerebral activity of the patient based at least in part on the one or more values of the depth of consciousness index and the one or more regional oxygen saturation values and to provide the one or more values of a depth of consciousness index and the metric to an output device.

Abstract: Provided is an apparatus for detecting a characteristic point to non-invasively estimate bio-information by analyzing a pulse waveform. The apparatus for detecting a characteristic point may include a bio-signal sensor that may obtain a bio-signal from an object, and a processor configured to obtain a first envelope by removing a first baseline change from an oscillometric waveform envelope of the bio-signal; obtain a second envelope by removing a second baseline change from the oscillometric waveform envelope of the bio-signal; obtain a third envelope based on the first envelope and the second envelope; and detect the characteristic point from the oscillometric waveform envelope based on the third envelope.

Abstract: A system includes a control unit configured to be worn by a subject, and having a wireless transceiver configured to receive and transmit signals and a processor coupled to a memory, at least one respiratory volume sensor mountable to the chest or abdomen of the subject and at least one secondary sensor mountable relative to the subject. The respiratory volume sensor is configured to operably generate one or more volumetric signals representative of a respiratory volume of the subject and communicate the one or more volumetric signals to the wireless transceiver of the control unit. The at least one secondary sensor is configured to operably generate one or more secondary signals and representative of at least one of a physiological, a cardiopulmonary or a metabolic condition of the subject, and communicate the one or more secondary signals to the wireless transceiver of the control unit.