Apparatus and methods are provided for use with a subject who is undergoing respiration. A motion sensor senses motion of a subject. A breathing pattern analysis unit analyzes components of the sensed motion that result from the subject's respiration. The breathing pattern analysis unit includes double-movement-respiration-cycle-pattern-identification functionality that designates respiration cycles as being double-movement-respiration-cycles (DMRC's) by determining that the cycles define two subcycles. Double-movement-respiration-cycle-event-identification functionality of the breathing pattern analysis unit identifies a DMRC event by detecting that the subject has undergone a plurality of DMRC's. An output is generated that is indicative of the subject having used accessory muscles in breathing, in response to identification of the double-movement-respiration-cycle event. Other embodiments are also described.

Monitoring, predicting and treating clinical episodes

A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Techniques for prediction and monitoring of clinical episodes

A washable, wearable biosensor that can gather sensor data, communicate the sensed data by wireless protocols, and permits the analysis of sensed data in real-time as a person goes about their normal lifestyle activities. The biosensor can be worn in multiple positions, can be put on or removed quickly without having to apply or remove gels and adhesives, and provides a snug, comfortable fit to gather data with minimal motion artifacts. The textile, wearable device can support integrated photoplethysmography, skin conductance, motion, and temperature sensors in a small wearable package. The supported sensors may be coupled to utilization devices by channel-sharing wireless protocols to enable the transmission of data from multiple users and multiple sensors (e.g. both sides of body, wrists or hands and feet, or multiple people). An on-board processor, or the receiving utilization device, can map patterns of the physiological and motion data to signals or alerts such as a likely seizure, drug craving, or other states that the wearer may exhibit or experience. The sensor data may be sent by wireless transmission and received by a mobile phone or other personal digital device, a computer, a favorite toy, or another wearable device. The sensors may include multiple photoplethysmographs and/or one or more EDAs which perform a time-domain measurement of skin conductance.

Washable wearable biosensor

A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.

Patient directed therapy control

The present disclosure relates to a sensor for monitoring the depth of consciousness of a patient. The sensor includes a plurality of light sources, light detectors, and in some embodiments, electrodes. In an embodiment, the sensor includes reusable and disposable portions.

Depth of consciousness monitor including oximeter

A device and a method for waking a user in a desired sleep state. The device may predict an occurrence when the user will be in the desired sleep state, such as light sleep, and wake the user during that predicted occurrence. In one embodiment, a user may set a wake-up time representing the latest possible time that the user would like to be awakened. The occurrence closest to the wake-up time when the user will be in light sleep may be predicted, thereby allowing the user to sleep as long as possible, while awakening in light sleep. To predict when the user will be in the desired sleep state, the user's sleep state may be monitored during the night or sleep experience and the monitored information may be used in predicting when the user will be in the desired sleep state.

Device for and method of predicting a user's sleep state

Systems and methods for monitoring EEG signals include dry electrodes that can be used in sleep monitoring systems. In one aspect, a system for sleep stage monitoring and measurement includes a first dry electrode for detecting EEG signals of a user, a housing, and a sleep stage processor disposed within the housing. The first dry electrode is positioned at or near a head of the user. The sleep stage processor processes the EEG signals to determine a sleep stage of the user.

Systems and methods for sleep monitoring

This invention relates to systems and methods for treating sleep apnea, which include a first dry electrode (118, 120, 122) for detecting EEG signals of a user, positioned at or near a head of a user; a sleep stage processor for determining a sleep stage of the user based, at least in part, on the EEG signals detected by the first dry electrode, and a pressure delivery device (102) for delivering a controllable stream of air to at least one of a nose and a mouth of the user, the stream of air having a pressure selected based, at least in part, on the sleep stage determined by the sleep stage processor.

Paolo Depetrillo

Papers

Device for and method of predicting a user's sleep state

Systems and methods for sleep monitoring

Pressure support device with dry electrode sleep staging device