Systems and/or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and/or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and/or assess the effectiveness of differing treatment regimens, etc).

Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.

Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

Systems and methods are provided for evaluating a pain disorder. A stimulus is applied to a subject and an evoked potential is obtained from at least one electrogram of the subject. A set of features is extracted from the evoked potential including features from at least two of a set of features representing connectivity between regions of the brain, a set of morphology features, a set of features representing time and frequency, a set of signal decomposition features, and a set of features representing entropy. A clinical parameter relating to a pain disorder is assigned to the subject from the extracted set of features with a machine learning model.

A multimodal optical imaging platform is used to obtain cerebral perfusion-metabolism mismatch metrics for rapid assessment of acute brain injury, ongoing (real-time) feedback to optimize cardiopulmonary resuscitation to improve neurological outcome, and rapid prognosis of recovery. Light of several wavelengths and types is delivered to the tissue, which is then absorbed and scattered by tissue components such as blood and cellular components. Some of this light scatters back to the surface, where it is captured by a detector. The resulting data are processed to obtain blood flow and oxygenation parameters, as well as tissue scattering. These parameters are then combined to calculate metabolism and flow-metabolism coupling/decoupling metrics, which are used to determine ischemic damage, ongoing need for optimal blood flow and oxygenation, and to predict cerebral recovery in patients with acute brain injury during and immediately after cardiac arrest, stroke, traumatic brain injury, etc.

A device for measuring and/or stimulating a brain activity, preferably an EEG device, including a transmitter and/or detector for transmitting and/or detecting physiological signals produced by the brain of an individual, and a support for the transmitter and/or detector, wherein the support is configured to extend over the top of the individual's head, the support removably attachable to an accessory intended to be worn by the individual, on his or her head, such as an audio headset, the support being configured such that, when the device is worn by the individual, the transmitter and/or detector are held in substantially close contact with the individual's head by the accessory.

A device for measuring and/or stimulating a brain activity, preferably an EEG device, including a transmitter and/or detector for transmitting and/or detecting physiological signals produced by the brain of an individual, and a support for the transmitter and/or detector, wherein the support is configured to extend over the top of the individual's head, the support removably attachable to an accessory intended to be worn by the individual, on his or her head, such as an audio headset, the support being configured such that, when the device is worn by the individual, the transmitter and/or detector are held in substantially close contact with the individual's head by the accessory.

Provided are an electronic device, a signal processing method thereof, a biological signal measurement system, and a non-transitory computer readable recording medium. The electronic device, according to one embodiment of the present disclosure, comprises: a sensor for measuring a biological signal of a user; and a processor for determining the periodicity of the measured biological signal, and selectively compressing the measured biological signal according to the determined periodicity.

Provided are an electronic device, a signal processing method thereof, a biological signal measurement system, and a non-transitory computer readable recording medium. The electronic device, according to one embodiment of the present disclosure, comprises: a sensor for measuring a biological signal of a user; and a processor for determining the periodicity of the measured biological signal, and selectively compressing the measured biological signal according to the determined periodicity.