A monitoring device for monitoring of vital signs of a living organism comprises at least two electrode pins for receiving an electrical activity of the living organism and an optical sensor for sensing a pulse of the living organism, wherein the monitoring device has a compact form and the at least two electrode pins and the optical sensor are integrated in the monitoring device.

The present specification discloses an intraoperative neurophysiological monitoring (IONM) system including a computing device capable of executing an IONM software engine, a stimulation module having multiple ports and various stimulation components and recording electrodes. The system is used to implement transcranial electrical stimulation and motor evoked potential monitoring by positioning at least one recording electrode on a patient, connecting the stimulation components to at least one port on the stimulation module, positioning the stimulation components on a patient's head, activating, using the IONM software engine, at least one port, delivering stimulation to the patient; and recording a stimulatory response on the patient.

An ultrasound probe for percutaneous insertion into an incision and related methods are disclosed herein, e.g., for imaging neural structures at a surgical site of a patient. An exemplary ultrasound probe can be a portable ultrasound probe configured to be passed percutaneously into an incision and can have an imaging region extending distally from a distal tip of the probe. In one embodiment the ultrasound probe can be a navigated portable ultrasound probe. The ultrasound probe can be connected to a computing station and configured to transmit images to the computing station for processing. In another embodiment, an ultrasound probe can be part of a network of sensors, including at least one external sensor, where the network of sensors is configured to transmit images to the computing station for processing. The computing station can process and display images to visualize and/or highlight neurological structures in an imaged region.

A nerve stimulating apparatus includes a plurality of stimulating units configured to respectively apply stimuli to a plurality of nerve regions branching from a particular nerve region of a living body, and a stimulation timing controller configured to set generating timings of respectively generating the stimuli at the plurality of stimulating units. The stimulation timing controller sets the generating timings of generating the stimuli at the plurality of stimulating units based on response results of the particular nerve region, the response results being obtained in response to the stimuli that are respectively generated at the plurality of stimulating units and that are respectively applied to the plurality of nerve regions, and the response results being measured by a biometric information measuring apparatus that measures biometric information.

Systems and methods for treating facial soft tissues of a patient in a healthcare or cosmetic treatment environment such as, for example, a spa, clinic, or a medical practitioner's office are presented herein. The facial treatment system includes a facial stimulator instrument and/or an acoustic oscillator to deliver therapeutic stimulation to the facial tissues of a patient including percussive massage, electrical stimulation, and acoustic stimulation. A facial treatment application executing on a processor of a computing device identifies a treatment protocol and operates the facial stimulator instrument and/or acoustic oscillator to implement the facial tissue treatment.

A system, method and device are described for biometric analysis using a wearable device. The device can be removeably securable to a user's skin surface and can include a plurality of electrodes positioned to acquire electrical signals from the skin surface. The device can also include an electromyography acquisition module and skin impedance acquisition module. A processing unit can use the electrodes to capture a plurality of electrical signals including at least one electromyography signal. The processing unit can generate calibration data based on a subset of the captured electrical signals and process the electromyography signals using the calibration data to determine a biometric for the user.

When operating a brain stimulation device, it is critical to understand and control the network effects associated with the area being targeted for stimulation. The combined system and methods provided herein provides the operator with a real-time view of the brain network potentially affected by the stimulation. The system and method are capable of increasing the accuracy of diagnostic information. Additionally, disclosed herein are a system and method for combining navigated brain stimulation data and anatomical data with brain connectivity data for an individual.

A method for providing electrical stimulation to a user, the method comprising: providing an electrical stimulation device, in communication with a controller, at a head region of the user; with the electrical stimulation device, providing a stimulation treatment having a waveform configured for neuromodulation in the user; with the controller, performing an adjustment to the stimulation treatment, wherein performing the adjustment includes: generating a transformed waveform with application of a transfer function to the waveform, wherein the transfer function scales the waveform and selectively attenuates extreme waveform values while maintaining a frequency characteristic of the waveform in the transformed waveform; and applying the transformed waveform with the electrical stimulation device, thereby modulating the stimulation treatment.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

Techniques for determining the location of a physiological midline are disclosed. A first technique evaluates the response to stimulation of spinal electrodes at peripheral electrodes on different sides of the body. In this technique, a spinal electrode's position relative to a physiological midline is determined based on a relationship between responses to its stimulation observed on different sides of the body. A second technique evaluates the response of spinal electrodes to stimulation of peripheral electrodes on different sides of the body. In this technique, a spinal electrode's position relative to a physiological midline is determined based on the different responses that it observes to stimulation on different sides of the body.