The invention determines an efficiency value (E) denoting preferably the relative period of muscle fibre activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibres recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibres are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.

A device and method for determining and/or monitoring the respiratory effort of a subject are presented. The device comprises a receiving unit for receiving a posture signal of the subject, a breathing signal of the subject, and an electromyography signal of the subject; and a processing unit for determining an electromyography signal based on the posture signal and the breathing signal and for deriving the respiratory effort based on the determined electromyography signal.

A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.

A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Synchronous insertion of screws is performed by multiple surgical robots or a single surgical robot having multiple arms and end effectors. The movements of each robotic arm are coordinated into position in preparation of the insertion of multiple surgical implant components at the same time or in the same surgical step. The insertion of the surgical implant components is performed while monitoring the insertion progress. The insertion is completed autonomously or in coordination with a surgeon.

Embodiments of the present disclosure provide techniques and configurations for an apparatus for a user's physiological context measurements. In one instance, the apparatus may include a processing block and first and second piezoelectric sensors coupled with the processing block. The first and second sensors may include respectively first and second electrodes to provide contact with a user's body in response to mounting of the apparatus on the user's body. The processing block may comprise a multi-modal sensing system configured to perform measurements of a user's physiological context during the contact of the user's body with the first and second electrodes, based at least in part on a voltage signal generated by the user's body and provided to the processing block via the first and second electrodes. Other embodiments may be described and/or claimed.

The present invention relates to systems for providing noninvasive cranial nerve stimulation and methods for using the same. The present invention administers therapy through electrodes that are noninvasively attached to one or more of a subject’s cranial nerve. The systems can be used to enhancing rehabilitation and recovery by improving neuroplasticity and coupling muscle training with feedback.

In order to determine the state of a muscle between a normal non-tired state, a tired state and a passive involuntary tension state, a signal from the muscle is recorded at rest by using an electrode arrangement, where an earth body may prevent the electrodes from picking up signals beyond the extent of the earth body. The frequency content of the signal is determined by spectral analysis, e.g. by computing a moment of the spectrum. A normal frequency content indicates a non-tired muscle state, whereas a low and a high frequency content indicate a tired and a passive involuntary tension muscle state. A mapping is used to improve accuracy of state determination, e.g. with a reference database.

A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and/or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The sleeve has a distal end disposed on or adjacent a wrist of the human arm when the sleeve is worn on the human arm and a proximal end opposite from the distal end. The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. The sleeve may include an inner sleeve contact with the skin and an outer sleeve disposed over the inner sleeve. The inner sleeve has openings in which the electrodes are disposed.