A system and method for a multichannel voltage recording device is described. A multichannel voltage recording device comprises at least three electrodes disposed across a conductive material. The electrodes are configured to be coupled to a skin of a user. A frame comprises the conductive material that is configured to receive a driven right leg (DRL) signal based on the voltage signals from the at least three electrodes.

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

A method and system for guiding joint replacement procedures based on functional stability analysis of a joint. The method comprises communicatively connecting to a plurality of sensors worn by an individual at muscles in a joint area and performing an initial measurement that evaluates strength and activity level of the muscles. The initial measurement includes a recording of data values from the plurality of sensors during a preoperative testing procedure. The initial measurement is compared with reference data, wherein the reference data includes measurements of healthy people with normal muscle function. The method further comprises generating joint replacement recommendations based on the comparison.

A method may include identifying a simulated three-dimensional representation corresponding to an internal anatomy of a subject based on a match between a computed two-dimensional image corresponding to the simulated three-dimensional representation and a two-dimensional image depicting the internal anatomy of the subject. Simulations of the electrical activities measured by a recording device with standard lead placement and nonstandard lead placement may be computed based on the simulated three-dimensional representation. A clinical electrogram and/or a clinical vectorgram for the subject may be corrected based on a difference between the simulations of electrical activities to account for deviations arising from patient-specific lead placement as well as variations in subject anatomy and pathophysiology.

The present invention relates to an automated stimulation device for inducing a tactile inter-stimulus onset asynchrony (ISOA) effect in a subject suffering from apnea, bradycardia and/or hypoxia, the device comprising at least two actuators configured for contacting a body portion of the subject, and interspaced for producing an apparent tactile movement in the subject upon sequential induction of actuation, wherein the duration of the actuations and the overlap in actuation time between the at least two actuators is controlled to attain an inter stimulus onset asynchrony (ISOA).

A device that non-invasively detects objects beneath or around the foot or a foot position and transmits signals which are processed and then output via an output device on a skin surface not affected by a neurological deficit, such as the hands or thighs. This device is suitable for subjects with diabetic neuropathy who have lost sensation in their feet and are at risk of punctures, cuts or other physical damage and at risk of sprains, strains or falls due to lack of an ability to detect objects underfoot and foot position.

A filter method for reducing interferences of a measuring signal, caused by magnetic fields of a rotatable medical imaging system while measuring bioelectric signals in a differential voltage measuring system, the filter method including: capturing a frequency value of a rotation of a gantry of the rotatable medical imaging system; generating a virtual reference signal as a function of the frequency value captured; estimating, via an adaptive signal filter, an amplitude and a constant phase offset of an estimated interference signal, based upon the virtual reference signal generated and a measuring signal; and filtering the measuring signal with the adaptive signal filter by subtracting the estimated interference signal from the measuring signal. A filter apparatus is also described. Furthermore a voltage measuring system is described. Furthermore, a rotating medical imaging system is described.

A filter method for reducing interferences of a measuring signal, caused by magnetic fields of a rotatable medical imaging system while measuring bioelectric signals in a differential voltage measuring system, the filter method including: capturing a frequency value of a rotation of a gantry of the rotatable medical imaging system; generating a virtual reference signal as a function of the frequency value captured; estimating, via an adaptive signal filter, an amplitude and a constant phase offset of an estimated interference signal, based upon the virtual reference signal generated and a measuring signal; and filtering the measuring signal with the adaptive signal filter by subtracting the estimated interference signal from the measuring signal. A filter apparatus is also described. Furthermore a voltage measuring system is described. Furthermore, a rotating medical imaging system is described.

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.