Certain pet products, such as collar, halters, pet beds, and the like, may be adapted to provide transcutaneous vibratory output. A device adapted to be worn by a non-human animal may include i) at least one of a collar or a harness structured to fit the non-human animal; and ii) at least one transducer located at least partially within the at least one collar or harness and structured to deliver a transcutaneous vibratory output to the non-human animal, the transcutaneous vibratory output having variable parameters comprising a perceived pitch, a perceived beat, and a perceived intensity.

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).

Systems, methods and devices for paired training include timing controls so that training and neural stimulation can be provided simultaneously. Paired trainings may include therapies, rehabilitation and performance enhancement training. Stimulations of nerves such as the vagus nerve that affect subcortical regions such as the nucleus basalis, locus coeruleus or amygdala induce plasticity in the brain, enhancing the effects of a variety of therapies, such as those used to treat tinnitus, stroke, traumatic brain injury, post-traumatic stress disorder, speech deficit or language deficit.

An intraoperative nerve monitoring system for monitoring nerve activity within a trachea of a patient. The intraoperative nerve monitoring system includes an endotracheal (ET) tube assembly, which includes an ET tube partially inserted within a trachea and a surface electrode wrapped about the ET tube. The ET tube is configured to monitor nerve activity when the ET tube is partially inserted within the trachea and is contacting a target tissue and to output a nerve signal. The intraoperative nerve monitoring system also includes a pressure sensor assembly configured to sense an amount of pressure between the surface electrode and the target tissue and a console including an output device configured to output indicators based on the monitored nerve activity and the sensed amount of pressure to facilitate proper placement of the ET tube in the trachea and to indicate nerve activity.

A respiratory assistance system can provide high flow therapy to patients. The respiratory assistance system can include a patient interface that can deliver a gas flow to a patient and a gas source that can drive the gas flow towards the patient interface at an operating flow rate. The system can include a controller for controlling the operating flow rate of the gas. The controller can apply multiple test flow rate values in a range as the operating flow rate. For each of the test flow rate values, the controller can measure a patient parameter. The controller can determine a new flow rate value based on the measured patient parameters. Patient parameters can include respiration rate, work of breathing, or any other parameters related to the respiratory circuit.

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.

A method of replicating a mental state of a first subject in a second subject comprising: capturing a mental state of the first subject represented by brain activity patterns; and replicating the mental state of the first subject in the second subject by inducing the brain activity patterns in the second subject.

A method of monitoring depth of muscle relaxation of a patient includes determining a sedative drug effect of one or more sedative drugs on a patient based on at least one of drug delivery information and measured nervous system information. The sedative drug effect is then compared to a sedation criterion and, if the sedative drug effect fulfills the sedation criterion, then a neuromuscular transmission (NMT) monitor is controlled to apply a series of stimulation to a nerve of a patient and muscle responses of the patient are measured to obtain an NMT baseline. A neuromuscular blocking agent (NMBA) notice is then generated on a user interface after obtaining the NMT baseline.

A sleep system may include a control system for a bed device that includes platform upon which an individual may be supported. The sleep system may include multiple input sources that trigger combinational output action patterns with respect to the control system and bed device. The multiple input sources may include sensors positioned to collect input data with respect to the subject, bed device, and/or surrounding environment such as motion sensors, presence sensors, proximity sensors, sound sensors, temperature sensors, biological sensors, and/or light sensors.