Sleep systems having embedded sensors are described. In one aspect, a sleep system includes a mattress and one or more force sensors embedded within the mattress. The force sensors are positioned within the mattress to sense movement of an occupant of the mattress. The sleep system also includes one or more processors coupled with the one or more force sensors. At least one of the processors is configured to determine sleep state information for the occupant based on data obtained from one or more of the force sensors.

A system for respiration monitoring includes a garment, which is configured to be fitted snugly around a body of a human subject, and which includes, on at least a portion of the garment that fits around a thorax of the subject, a pattern of light and dark pigments having a high contrast at a near infrared wavelength. A camera head is configured to be mounted in proximity to a bed in which the subject is to be placed, and includes an image sensor and an infrared illumination source, which is configured to illuminate the bed with radiation at the near infrared wavelength, and is configured to transmit a video stream of images of the subject in the bed captured by the image sensor to a processor, which analyzes movement of the pattern in the images in order to detect a respiratory motion of the thorax.

A device for treating sleep disordered breathing includes a stimulation element to stimulate an airway-patency-related nerve.

A device for treating sleep disordered breathing includes a stimulation element to stimulate an airway-patency-related nerve.

A wearable therapeutic device to facilitate care of a subject is provided. The wearable therapeutic device can include a garment having a sensing electrode. The garment includes at least one of an inductive element and a capacitive element, and a controller identifies an inductance of the inductive element or a capacitance of the capacitive element, and determines a confidence level of information received from the sensing electrode based on the inductance or the capacitance. The wearable therapeutic device also includes an alarm module coupled with the controller and configured to provide a notification to a subject based on the confidence level.

Systems and methods described herein use pairing to associate a wireless sensor with a patient monitoring device such as a bedside patient monitor or a mobile device. A signal emitted by a patient monitoring device can be detected by a wireless sensor. The wireless sensor can be associated with the detected signal and pair the wireless sensor with the patient monitoring device. The wireless sensor can be configured to enter into a patient parameter sensing mode of operation after the association of the wireless sensor with the patient monitoring device.

The invention relates to a cutaneous patch for monitoring the heart rate of an individual, as well as to a monitoring system comprising such a patch, and to an assembly that comprises a system of this type.

A method for automatically controlling an emotional environment in a vehicle is provided. The method includes generating reflected wave information by radiating an electromagnetic wave toward a rear seat of the vehicle and receiving a reflected wave. A degree of activity is determined based on the reflected wave information and at least one device installed within the vehicle is operated based on the degree of activity.

Methods, apparatus and systems for wireless sleep monitoring are disclosed. In one embodiment, a described sleep monitoring system comprises: at least one sensor in a venue, wherein the at least one sensor comprises a wireless non-contact sensor having no physical contact with the user; a processor communicatively coupled to the at least one sensor; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: obtaining, based on the at least one sensor, a plurality of time series of sensing features (TSSF) associated with a sleep motion of a user in the venue, and monitoring the sleep motion of the user jointly based on the plurality of TSSF. At least one TSSF of the plurality of TSSF is obtained by: communicating, based on the wireless non-contact sensor, a wireless signal in a wireless multipath channel of the venue, extracting a time series of channel information (TSCI) of the wireless multipath channel of the venue from the wireless signal, and obtaining the at least one TSSF based on the TSCI.

Methods, apparatus and systems for wireless sleep monitoring are disclosed. In one embodiment, a described sleep monitoring system comprises: at least one sensor in a venue, wherein the at least one sensor comprises a wireless non-contact sensor having no physical contact with the user; a processor communicatively coupled to the at least one sensor; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: obtaining, based on the at least one sensor, a plurality of time series of sensing features (TSSF) associated with a sleep motion of a user in the venue, and monitoring the sleep motion of the user jointly based on the plurality of TSSF. At least one TSSF of the plurality of TSSF is obtained by: communicating, based on the wireless non-contact sensor, a wireless signal in a wireless multipath channel of the venue, extracting a time series of channel information (TSCI) of the wireless multipath channel of the venue from the wireless signal, and obtaining the at least one TSSF based on the TSCI.