Systems, devices, methods, and kits for monitoring one or more physiologic and/or physical signals from a subject are disclosed. A system including patches and corresponding modules for wirelessly monitoring physiologic and/or physical signals is disclosed. A service system for managing the collection of physiologic data from a customer is disclosed. An isolating patch for providing a barrier between a handheld monitoring device with a plurality of contact pads and a subject is disclosed.

A computer-implemented method for determining and/or monitoring a level of modified state of consciousness of a subject receiving a treatment session comprising modifying the state of consciousness of the subject non-pharmacologically, the method comprising the steps of: receiving response data representing a subject's response to the treatment session, wherein the response data comprises measured data comprising electroencephalogram, BEG, data, the EEG data comprising: data collected from at least one of: at least one frontal (F) EEG electrode located on the scalp anatomical region corresponding to a frontal lobe of the subject, and at least one parietal (P) EEG electrode located on the scalp anatomical region corresponding to a parietal lobe of the subject, determining from the response data, the level of modified state of consciousness of a subject of the subject.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

The provided systems, methods and devices describe lightweight, wireless tissue monitoring devices that are capable of establishing conformal contact due to the flexibility or bendability of the device. The described systems and devices are useful, for example, for skin-mounted intraoperative monitoring of nerve-muscle activity. The present systems and methods are versatile and may be used for a variety of tissues (e.g. skin, organs, muscles, nerves, etc.) to measure a variety of different parameters (e.g. electric signals, electric potentials, electromyography, movement, vibration, acoustic signals, response to various stimuli, etc.).

The provided systems, methods and devices describe lightweight, wireless tissue monitoring devices that are capable of establishing conformal contact due to the flexibility or bendability of the device. The described systems and devices are useful, for example, for skin-mounted intraoperative monitoring of nerve-muscle activity. The present systems and methods are versatile and may be used for a variety of tissues (e.g. skin, organs, muscles, nerves, etc.) to measure a variety of different parameters (e.g. electric signals, electric potentials, electromyography, movement, vibration, acoustic signals, response to various stimuli, etc.).

The present specification describes methods and systems for tracking vision performance, using various techniques such as and not limited to electrooculography. A modular device is integrated with frames of eyeglasses that can be worn by a user. The device incorporates one or more biosensors such as EOG sensors. EOG recording may be used to estimate eyelid and eye motion, and eye gaze direction. The modular device may be fitted into new eyewear or retrofitted into existing eyewear for tracking eyes of the wearer. Embodiments of the present specification provide systems and methods to enable seamless integration of eye tracking into everyday life to maximize productivity and performance.

Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

A method removing artifacts from neural signals comprises receiving electroencephalography (EEG) data from an EEG system and providing the EEG data to a unified artifact removal framework for cleaning artifacts. The EEG data is provided to a first cleaning framework utilizing the first reference to clean first artifacts from the EEG data, and the outputting the EEG data from the first cleaning framework to a second cleaning framework. The second cleaning framework may operate in a similar manner utilizing second reference to clean second artifacts from the EEG data. This general process may be repeated as desired to clean various artifacts from EEG data, when a suitable reference for the artifacts to be removed is utilized. The frameworks utilize H∞ method or filtering involving a H∞ adapting rule to properly weigh the reference, and combining the subsequent output with incoming EEG data results in the desired removal of artifacts.