A device provides a first data signal that indicates an activity of at least one muscle of a patient that is relevant for an inspiratory breathing effort and a second data signal that indicates an activity of at least one muscle of the patient that is relevant for an expiratory breathing effort. The data signals are generated from electromyography (EMG) signals detected by surface electromyography sensors. A computer is configured to determine breathing phase information on the basis of a breathing signal and to check at least one of the electromyography signals or at least one of the separated signals for detectability of a heart signal component and further to assign the signals to an inspiratory breathing activity as well as to an expiratory breathing activity of the patient as a function of the breathing phase information.

A surgical system includes a robotic device, and a surgical tool coupled to the robotic device and comprising a distal end. The system further includes a neural monitor configured to generate an electrical signal and apply the electrical signal to the distal end of the surgical tool, wherein the electrical signal causes innervation of a first portion of a patient's anatomy which generates an electromyographic signal, and a sensor configured to measure the electromyographic signal. The neural monitor is configured to determine a distance between the distal end of the surgical tool and a portion of nervous tissue based on the electrical signal and the electromyographic signal, and cause feedback to be provided to a user based on the distance.

A surgical system includes a robotic device, and a surgical tool coupled to the robotic device and comprising a distal end. The system further includes a neural monitor configured to generate an electrical signal and apply the electrical signal to the distal end of the surgical tool, wherein the electrical signal causes innervation of a first portion of a patient's anatomy which generates an electromyographic signal, and a sensor configured to measure the electromyographic signal. The neural monitor is configured to determine a distance between the distal end of the surgical tool and a portion of nervous tissue based on the electrical signal and the electromyographic signal, and cause feedback to be provided to a user based on the distance.

We report method of detecting a pathological body state of a patient, comprising receiving a body signal of the patient; determining a body index from said body signal; determining an activity level of said patient; determining a value range for said body index for said patient, based at least in part on said activity level; comparing said body index to said value range; and detecting a pathological state when said body index is outside said value range. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

We report method of detecting a pathological body state of a patient, comprising receiving a body signal of the patient; determining a body index from said body signal; determining an activity level of said patient; determining a value range for said body index for said patient, based at least in part on said activity level; comparing said body index to said value range; and detecting a pathological state when said body index is outside said value range. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

The present invention relates to an electrode comprising a conductive pressure sensitive adhesive layer and a conductive layer. Furthermore, the invention refers to a method of manufacturing the electrode and to the use of the electrode for monitoring biosignals.

This disclosure is related to methods of objectively detecting and measuring neuropathic pain in a subject.

An electromyography processing apparatus 1 includes a storage device 10 that stores electromyography data 11 of a predetermined muscle, a pre-processing unit 22 that calculates a root-mean-square value in the electromyography data 11 for each predetermined time and generates root-mean-square value data including the root-mean-square value for each time, and an onset detection unit 23 that sets a sliding window for onset detection to a predetermined time of the root-mean-square value data and determines that a predetermined time is an onset portion if the average of the root-mean-square values in the sliding window is higher than a threshold value, and the onset detection unit 23 further includes a threshold value determination unit 24 that sets a sliding window for threshold value detection to the predetermined time and determines a threshold value based on the average of the root-mean-square values in the sliding window for threshold value detection.

Provided are apparatuses and methods for non-invasively and continuously measuring physiological parameters of a mammal subject. The apparatus includes multiple sensor systems attached to the mammal subject, and a microcontroller unit (MCU). The sensor systems are time-synchronized and communicate with each other wirelessly and bidirectionally. Each of the sensor systems includes at least one sensor configured to detect a vital sign of the mammal subject and generate a corresponding one of the physiological parameters. The MCU is in wireless communication with the plurality of sensor systems. In operation, the MCU receives, from the sensor systems, and displays the physiological parameters of the mammal subject. The apparatus and method can be used in applications such as developing therapeutics or vaccines for a disease, or diagnosing a disease.

Provided are apparatuses and methods for non-invasively and continuously measuring physiological parameters of a mammal subject. The apparatus includes multiple sensor systems attached to the mammal subject, and a microcontroller unit (MCU). The sensor systems are time-synchronized and communicate with each other wirelessly and bidirectionally. Each of the sensor systems includes at least one sensor configured to detect a vital sign of the mammal subject and generate a corresponding one of the physiological parameters. The MCU is in wireless communication with the plurality of sensor systems. In operation, the MCU receives, from the sensor systems, and displays the physiological parameters of the mammal subject. The apparatus and method can be used in applications such as developing therapeutics or vaccines for a disease, or diagnosing a disease.