A method of predicting successful treatment of disorders of bodily tissue includes obtaining, with a device, energy signal data from the bodily tissue of a patient. The obtained energy signal data is analyzed in a controller to determine an activity score value associated with the bodily tissue. The activity score value is compared, in the controller, to a threshold value, with the threshold value being based on energy signal data from the same bodily tissue of normal, disease free patients. Based on the comparison, a probability of success of a particular therapy in treating the bodily tissue is determined. A system for performing the method is also disclosed.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

The present invention is for a method and system for pain classification and monitoring optionally in a subject that is an awake, semi-awake or sedated.

Devices, systems, and methods herein relate to electromyography (EMG) that may be used in diagnostic and/or therapeutic applications, including but not limited to electrophysiological study of muscles in the body relating to neuromuscular function and/or disorders. Sensor assemblies and methods are described herein for non-invasively generating an EMG signal corresponding to muscle tissue where the sensor may be positioned directly on a surface of the muscle tissue including any associated membrane (e.g., mucosal, endothelial, synovial) overlying the muscle tissue. A sensor assembly may include one or more pairs of closely spaced, atraumatic electrodes in a bipolar or multipolar configuration. The first and second electrodes may be applied against a surface of muscle tissue (that may include a membrane overlying the muscle) and receive electrical activity signal data corresponding to an electrical potential difference of the portion of muscle between the electrodes.

A tubing assembly for use with an electronic catheter guidance systems is provided and includes a catheter and a stimulation electrode assembly, and an electrical connection for delivering a stimulation waveform to the stimulation electrode assembly. The catheter extends in a longitudinal direction and has a proximal end and a distal end that define a lumen therebetween. Further, the catheter is configured for placement within a patient's digestive tract. The stimulation electrode assembly is configured to deliver an electrical stimulation to tissue. A catheter guidance system and method for accurately placing a catheter in the digestive tract are also provided.

A method for reducing discomfort when viewing virtual reality (VR) content for use in head mounted displays (HMDs). The method includes accessing a model that identifies a plurality of learned patterns associated with the generation of corresponding baseline VR content that is likely to cause discomfort. The method includes processing a first application to generate data associated with simulated user interactions with first VR content of the first application. The method includes comparing the data to the model to identify a pattern in the data matching at least one of the learned patterns, such that the identified pattern is likely to cause discomfort. The method includes identifying a zone in the first application corresponding to identified pattern. The method includes applying a discomfort reduction filter effect within the zone for purposes of reducing potential discomfort in a user.

A method for reducing discomfort when viewing virtual reality (VR) content for use in head mounted displays (HMDs). The method includes accessing a model that identifies a plurality of learned patterns associated with the generation of corresponding baseline VR content that is likely to cause discomfort. The method includes processing a first application to generate data associated with simulated user interactions with first VR content of the first application. The method includes comparing the data to the model to identify a pattern in the data matching at least one of the learned patterns, such that the identified pattern is likely to cause discomfort. The method includes identifying a zone in the first application corresponding to identified pattern. The method includes applying a discomfort reduction filter effect within the zone for purposes of reducing potential discomfort in a user.

A bed pan assembly with excretion analyzation beneficially configured to collect, read, sample, analyze, and/or notify one or more desired users of one or more targeted properties of a stool or urine sample and comprising a portable bed pan housing with a bottom wall, a sidewall, an excretion storage cavity, and at least one analyzing sensor operably configured to detect at least one of a targeted stool or urine property from a stool or urine specimen received within the excretion storage cavity, communicatively couplable to a remote electronic communication device over a wireless network, and operably configured to communicate an electronic notification of the at least one of the targeted stool or urine property to the remote electronic communication device over the wireless network. The analyzing sensors may be specifically, operably configured to detect excreta occult blood, urine flowrate, oxyhemoglobin, deoxyhemoglobin, melanin, weight, or movement as the targeted properties.

A system is provided herein for stimulating an anatomical element of a patient. For example, the system may include a device (e.g., an implantable pulse generator) and an electrode device electrically coupled to the device. In some examples, the device may be configured to generate a current that is to be applied to the anatomical element via the electrode device to stimulate the anatomical element as part of a therapy aimed at achieving or supporting glycemic control in the patient. Additionally, the current may be applied to the anatomical element based on a machine learning algorithm that uses inputs gathered for determining one or more characteristics for the current. Accordingly, the machine learning algorithm may be configured to determine the one or more characteristics for the current specific to the patient (e.g., to provide personalized therapy settings for the patient).

Systems and methods for mechanically blocking a nerve are provided. The system may comprise a blocking device configured to selectively compress the nerve. The system may also comprise a feedback mechanism configured to measure a response correlating to whether the nerve is blocked. When the blocking device compresses the nerve, a response from the feedback mechanism is received that correlates to the nerve being blocked or unblocked after a period of time.