A system and method provides closed-loop sedation, anesthesia, or analgesia by monitoring EEG and automatically adjusting the delivery of sedative, anesthetic, and/or analgesic drugs to maintain that desired level of cortical activity for transportation or evacuation of the injured, and for closed-loop anesthesia during surgical care, and at all echelons of care.

A system for determining muscle activation comprises a set of electrode adherable to a skin of a subject, and a processor in communication with the electrodes. The processor has a circuit configured for receiving locations of the electrodes and electrical signals detected by the electrodes, analyzing the signals to identify a section of an active muscle, identifying locations of at least a segment of active muscles and activation patterns of the active muscles based on the identified section, and constructing a displayable map of the locations and the activation patterns, wherein patterns corresponding to different active muscles are distinguishable on the map.

A system for determining muscle activation comprises a set of electrode adherable to a skin of a subject, and a processor in communication with the electrodes. The processor has a circuit configured for receiving locations of the electrodes and electrical signals detected by the electrodes, analyzing the signals to identify a section of an active muscle, identifying locations of at least a segment of active muscles and activation patterns of the active muscles based on the identified section, and constructing a displayable map of the locations and the activation patterns, wherein patterns corresponding to different active muscles are distinguishable on the map.

A system for achieving optimal sensor placement and enhanced signal quality for monitoring maternal and fetal activities is disclosed. The system includes a monitoring device and a computing unit. The monitoring device is configured for monitoring maternal and fetal activities and providing guidance to the user via the computing unit upon detecting a feature of interest. The monitoring device includes a plurality of sensors, a data acquisition and transmission unit, one or more reference electrodes, and a ground electrode. Based on personal data acquired using the computing unit, the system utilizes a statistical or machine learning model which incorporates one or more subsets of the personal data to determine the optimal sensor placement close to the fetal heart position. Following sensor placement, the monitoring device performs a signal quality assessment and selects the optimal sensors to ensure reliable information on maternal and fetal activities is obtained.

A system for a physiological characteristic sensor deployed with a sensor inserter includes an adhesive skin patch coupled to the physiological characteristic sensor. The adhesive patch is to couple the physiological characteristic sensor to an anatomy. The system also includes a gravity resistance system coupled to the adhesive patch and to be coupled to the sensor inserter. The gravity resistance system maintains the adhesive patch substantially perpendicular to a longitudinal axis of the sensor inserter prior to deployment of the physiological characteristic sensor and is removable from the adhesive patch by the sensor inserter upon deployment of the physiological characteristic sensor.

Technologies and implementations for a wearable healthcare system including one or more electrodes, which may detect and determine smart leads off conditions of the one or more electrodes. The wearable healthcare system may include a leads off monitor module, which may be configured to learn when and when not to cause a leads off alert.

Technologies and implementations for a wearable healthcare system including one or more electrodes, which may detect and determine smart leads off conditions of the one or more electrodes. The wearable healthcare system may include a leads off monitor module, which may be configured to learn when and when not to cause a leads off alert.

According to one aspect, a medical device may be configured to couple to a body. The medical device may comprise a material layer; a plurality of adhesive layers coupled to the material layer and configured to couple to a user's skin, wherein each adhesive layer of the plurality of adhesive layers includes a plurality of micro passages; a channel extending between two adjacent adhesive layers of the plurality of adhesive layers; and a superhydrophobic coating covering at least a portion of each of the two adjacent adhesive layers and the material layer forming the channel.

Electrode array assembly (10) including a carrier assembly (12) and a connector assembly (14). The carrier assembly (12) includes an array of first electrical contacts (20) coupled to a plurality of electrodes (18), and a first housing (22) canying the array of first contacts (20) and configured to allow access to the first contacts (20). The connector assembly (14) includes an array of second electrical contacts (26), and a second housing (28) canying the second contacts (26) and configured to allow access to the second contacts (26). Each of the carrier assembly (12) and the connector assembly (14) include complementary retention elements (30) and complementary locating formations (32), whereby engaging the complementary locating formations (32) allows the complementary retention elements (30) to secure the first housing (22) to the second housing (28), and allows the first contacts (20) to couple with the second contacts (26).

Example inventions detect an occurrence of disturbance during a sleep period of a user. Examples receive data corresponding to a single parameter of the user during the sleep period, determine patterns in the data, and based on the patterns, determine a sleep disturbance severity index (“SDSI”) over the sleep period.