Treatment controllers and methods are provided that can be integrated with treatment systems, such as peritoneal dialysis systems, hemodialysis systems, and nocturnal treatment systems, to manage execution of treatment operations or a course of treatment based on timing information and/or patient sleep state.

A system for identifying fatigue sources includes a processor and at least one computer program residing on the processor. The computer program is stored on a non-transitory computer readable medium having computer executable code embodied thereon. The computer executable code is configured to detect a fatigue level. The computer executable code is further configured to receive fatigue contribution data. In addition, the computer executable code is configured to identify a fatigue source based on the fatigue level and the fatigue contribution data.

Methods, systems, and devices for sleep analysis are described. The method may include receiving, at a first application, physiological data associated with a user that is collected via a set of sensors of a wearable device. The method may include receiving, at the first application and from a second application, information indicating a wakeup time restriction for the user. In some cases, the method may include determining, by the first application, a bedtime for the user based on the physiological data and the wakeup time restriction for the user. In some other cases, the method may include identifying, by the first application, sleep staging information for the user while the user is sleeping based on the physiological data, and further include determining a wakeup time for the user based on the sleep staging information and the wakeup time restriction for the user from the second application.

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

Disclosed are devices and methods for non-invasively measuring arterial stiffness using pulse wave analysis of photoplethysmogram data. In some implementations, wearable biometric monitoring devices provided herein for measuring arterial stiffness have the ability to automatically and intelligently obtain PPG data under suitable conditions while the user is engaged in activities or exercises. In some implementations, wearable biometric monitoring devices are provided herein with the ability to remove PPG data variance caused by factors unrelated to arterial stiffness. In some implementations, wearable biometric monitoring devices have the ability to perform PWA while accounting for the user's activities, conditions, or status.

The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.

The present disclosure pertains to a system configured to a system configured to detect slow waves based on adjusted slow wave detection criteria and time delivery of the sensory stimulation to correspond to slow waves detected based on the adjusted criteria. The system is configured to adjust slow wave detection criteria to enhance detection of slow waves in a subject. Slow wave detection using adjustable slow wave detection criteria produces more stimulation relative to prior art systems because more individual stimuli are provided if more slow waves are detected. In some embodiments, the system includes one or more of a sensory stimulator, a sensor, a processor, electronic storage, a user interface, and/or other components.

The present disclosure pertains to a system configured to determine one or more parameters based on cardiorespiratory information from a subject and determine sleep stage classifications based on a discriminative undirected probabilistic graphical model such as Conditional Random Fields using the determined parameters. The system is advantageous because sleep is a structured process in which parameters determined for individual epochs are not independent over time and the system determines the sleep stage classifications based on parameters determined for a current epoch, determined relationships between parameters, sleep stage classifications determined for previous epochs, and/or other information. The system does not assume that determined parameters are discriminative during an entire sleep stage, but maybe indicative of a sleep stage transition alone. In some embodiments, the system comprises one or more sensors, one or more physical computer processors, electronic storage, and a user interface.

The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.

The present disclosure pertains to delivering sensory stimulation to a subject during a sleep session in order to enhance dream recall. The system may detect REM sleep in the subject during a sleep session based on brain activity of the subject. The system may then deliver sensory stimulation to the subject during the sleep session. The system may deliver sensory stimulation at a frequency in a theta range of an EEG signal in order to increase theta power in the brain activity of the subject. In some embodiments, the system may modulate the intensity of the sensory stimulation according to changes in the EEG theta power associated with the subject during the sleep session. In some embodiments, an increase in EEG theta power associated with the subject may promote dream recall.