Methods and systems are provided for monitoring neuromuscular blockade in patients during surgical procedures. In one embodiment, a system includes a stimulator, an electromyography (EMG) sensor, a kinemyography (KMG) sensor, and a single connector configured to couple each of the stimulator, the EMG sensor, and the KMG sensor to a patient monitoring device via a single input. In this way, neuromuscular transmission (NMT) monitoring in patient may be done reliably by ensuring that NMT measurement from a first sensor (EMG sensor) is in line with the measurement of the second sensor (KMG sensor).

An abnormality prediction device includes a detection unit that detects detection information including at least one of biological information of a user and body motion information regarding a body motion of the user, a premonitory symptom determination unit (control unit) that determines whether a premonitory symptom has occurred in the user on the basis of the detection information detected by the detection unit and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user, and an information output unit (control unit) that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, outputs notification information indicating that occurrence of abnormality in the user is predicted.

Concepts presented herein relate to an interface module that can be electrically coupled to an electrical stimulation generator, a radio frequency generator and an instrument. A selection module is coupled to the interface module and operates in a first mode to deliver electrical stimulation signals from the electrical stimulation generator to the instrument and in a second mode to deliver radio frequency signals from the radio frequency generator to the instrument.

A method is provided for monitoring and managing muscle activity and soft tissue loading. The method includes providing to a subject a plurality of sensors for measuring muscle activity and soft tissue loading levels; directing the subject to undertake a program of exercise; measuring muscle activity and soft tissue loading during the program of exercise; comparing the measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels for the subject; and alerting the subject if the comparison of measured muscle activity and soft tissue loading levels against calibrated muscle activity and soft tissue loading levels indicates that a desirable level of muscle activity and/or soft tissue loading is being exceeded.

Wearable systems and methods to comprehensively analyze physical activity of a user for training and/or therapeutic purposes, by analyzing multiple channels of data about both muscle activity, using non-invasive surface electromyography (sEMG), and associated motion from that muscle activity, using inertial measurement units (IMU), are disclosed.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

Neurophysiological instruments and techniques are improved through various enhancements. Stimulation of an instrument is possible while it is advancing into the spine or elsewhere, alerting the surgeon to the first sign the instrument or device (screw) may be too near a nerve. A directional probe helps surgeons determine the location of the hole in the pedicle. Electrically insulating sleeves prevent shunting into the soft tissues. According to a different improvement, the same probe to be used to stimulate different devices, such as screws and wires. Electrical impulses may be recorded from non-muscle regions of the body, including the spine and other portions of the central nervous system as opposed to just the extremities.

The present invention is directed to systems and methods for monitoring characteristics of a subject. A system according to an exemplary embodiment of the invention includes a sensor subsystem including at least one respiratory sensor disposed proximate to the subject and configured to detect a respiratory characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one respiratory signal representing the respiratory characteristic, and at least one physiological sensor disposed proximate to the subject and configured to detect a physiological characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one physiological signal representing the physiological characteristic, and a processor subsystem in communication with the sensor subsystem, the processor subsystem being configured to receive at least one of the at least one respiratory signal and the at least one physiological signal.

A heart monitoring system for a person includes one or more wireless nodes; and wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs.

A computer-assisted surgery system may have a robotic arm including a surgical tool and a processor communicatively connected to the robotic arm. The processor may be configured to receive, from a neural monitor, a signal indicative of a distance between the surgical tool and a portion of a patient's anatomy including nervous tissue. The processor may be further configured to generate a command for altering a degree to which the robotic arm resists movement based on the signal received from the neural monitor; and send the command to the robotic arm.