A computer-implemented method for detecting onset of a spontaneous breath by a patient coupled to a ventilation system includes receiving, at a processor, an electromyography (EMG) signal from an EMG sensor disposed on the patient. The method also includes pre-conditioning, via the processor, the EMG signal to separate the EMG signal into a plurality of components having EMG information utilizing a set of bandpass filters. The method further includes individually analyzing, via the processor, each component of the plurality of components to detect an onset of the spontaneous breath by the patient. The method still further includes determining, via the processor, the onset of the spontaneous breath by the patient is occurring when at least two components of the plurality of components indicate the onset of the spontaneous breath by the patient.

Various embodiments are described herein for a controller for controlling the operation of a breathing assistance device that provides breathing assistance to a user. The controller comprises a processor that generates a respiratory index value that is determined during a current monitoring time period to detect a respiratory failure, or predict the respiratory failure when at least one PSG signal is measured. The respiratory index value is compared to a threshold to determine if the control signal needs to be updated to reduce or eliminate respiratory failure that the user is currently experiencing or to prevent a predicted respiratory failure from occurring.

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).

A system and method for facilitating and maintaining various states of a user consciousness, including the transition between a conscious and unconscious state, is provided. The system and method include use of a smart device having a user interface, a biometric sensor coupled to a user and configured to transmit the user's biometric data to the smart device and an environmental sensor configured to transmit environmental data to the smart device. The smart device controls one or more environmental systems proximate the user and an audio/visual device proximate the user to facilitate transitioning the state of the user.

A system and method for facilitating and maintaining various states of a user consciousness, including the transition between a conscious and unconscious state, is provided. The system and method include use of a smart device having a user interface, a biometric sensor coupled to a user and configured to transmit the user's biometric data to the smart device and an environmental sensor configured to transmit environmental data to the smart device. The smart device controls one or more environmental systems proximate the user and an audio/visual device proximate the user to facilitate transitioning the state of the user.

Non-pharmaceutical methods of treating the symptoms of anxiety and depression are described. The method includes providing a person with stimuli include visual and/or auditory stimuli which are pulsed at the rate of various types of brain waves. The use of the method greatly lessens various symptoms of anxiety and depression, including one or more of pain, anxiety, depression, and problems sleeping.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

The present disclosure relates a sleep-aid device which includes a brainwave sensor, a processor, and an output device disposed in a case. The brainwave sensing module senses a brainwave by contacting an ear and generates a brainwave reference signal. The processor processes the brainwave reference signal when received the brainwave reference signal, then amplifies at least one of the sound feature point audios conforming to the brainwave data to generate a brainwave sound signal with a brainwave frequency, further suppressing or shielding the sound feature point audios of the other sound frequencies not being amplified to generate adjusted sound signals. The processor compares the brainwave frequency by a mental parameter and generates a sober signal or a sleep signal according to a mental comparison result, providing the output device determines whether outputting a sleep media with a sleep frequency according to the sober signal or the sleep signal.