In one embodiment, a method to differentiate between causes of noise in an electrocardiogram (ECG) signal. The method connecting to at least one sensing electrode and obtaining the ECG signal from the at least one sensing electrode. The method also includes detecting noise on the ECG signal and detecting ancillary conditions. The method also includes associating the noise on the ECG signal with at least one of the ancillary conditions and providing an actionable indication to a patient associated with the noise on the ECG signal.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.

The embodiments include an apparatus used in combination with a computer for sensing biopotentials. The apparatus includes a catheter in which there is a plurality of sensing electrodes, a corresponding plurality of local amplifiers, each coupled to one of the plurality of sensing electrodes, a data, control and power circuit coupled to the plurality of local amplifiers, and a photonic device bidirectionally communicating an electrical signal with the data, control and power circuit. An optical fiber optically communicated with the photonic device. The photonic device bidirectionally communicates an optical signal with the optical fiber. An optical interface device provides optical power to the optical fiber and thence to the photonic device and receives optical signals through the optical fiber from the photonic device. The optical interface device bidirectionally communicates an electrical data, control and power signal to the computer.

A pseudo-resistor structure, comprises: a first and a second PMOS transistor or PN diode configured as two-terminal devices, wherein the positive terminal of the first PMOS transistor or PN diode is connected to the positive terminal of the second PMOS transistor or PN diode, and wherein the negative terminal of the first PMOS transistor or PN diode is connected to an input (A) of the pseudo-resistor structure and wherein the negative terminal of the second PMOS transistor or PN diode is connected to an output (C) of the pseudo-resistor structure, and a dummy transistor or dummy diode connected to the input (A), wherein the dummy transistor or dummy diode is further connected to a bias voltage for compensating a leakage current through the first and the second PMOS transistors or PN diodes. A closed-loop operational amplifier circuit comprising the pseudo-resistor structure is provided. Also, a bio-potential sensor comprising the closed-loop operational amplifier circuit is provided.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.

A biometric apparatus includes a calculation device that processes first time series data from a first measuring device and second time series data from a second measuring device; a display device that displays the time series data; a trigger signal generator that generates one or more trigger signals; and an input unit, wherein the calculation device determines one or more specific intervals of the first time series data based on the one or more trigger signals; configures a classification reference for classifying time series data in the one or more specific intervals using the time series data in a first specific interval using an input signal as a trigger; classifies the second time series data for the one or more specific intervals using a result of classifying the first time series data based on the classification reference; and displays a classification result of the second time series data.

Described herein are functionalized garments that can be worn on the torso of a subject and can be configured with varying zones or areas of compressions and can provide increased signal-to-noise ratios and reduced motion artifacts in areas while allowing a substantially unimpeded freedom of motion.

The present invention relates to a system and method useful for determining the voltage of biological tissues and therefore to detect whether such tissues are cancerous.

An apparatus and method for determining a user activity include or define a plurality of baseline signatures, each baseline signature corresponding to a type of user activity and having data formed from a first data representing a varying static electric field and a second data representing motion. Data responsive to a varying static electric field is obtained from a first sensor, and data responsive to motion is obtained from a second sensor. The first data is combined with the second data, and the user activity is identified based on a comparison of the combined first and second data with the plurality of baseline signatures.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.