A method for assisting a patient in avoiding obstructive sleep apnea (OSA) or for weaning from a PAP therapy includes: receiving in a controller health related data of the patient obtained from the patient by one or more electronic devices associated with the patient; analyzing the health related data with the controller; determining in the controller from the analyzing of the health related data, an OSA risk factor having a correlation to OSA severity in the patient; and providing the OSA risk factor to the patient.

A melatonin optimization system detects users' hormone sensitivity through sleep architecture monitoring and recommends a dose of melatonin personalized to each user in relation to the user's behaviors, needs and health conditions. Determining an optimized melatonin dose requires accurate prediction of non-intervention sleep onset latency for the upcoming sleep period so that the dose can be based on the difference between the user's desired sleep onset latency and the predicted non-intervention sleep onset latency. The system can use either a general population-based sleep onset latency prediction model or a machine learning model trained to be personalized for each user.

A system and method for providing a recommendation of an insomnia therapy leverage various metrics including personal health profile, 24/7 biometrics, behavioral information, and environmental stressors to predict insomnia severity, to build a personalized severity and type insomnia therapy map ranked by historic therapy efficacy, to provide a contextualized personalized therapy recommendation, and to optimize the insomnia therapy.

A method of optimizing pharmacotherapy includes monitoring one or more characteristics of a patient associated with a condition of the patient and evaluating a baseline severity of the condition of the patient, recommending a selected therapy to the patient based on a therapy efficacy-risk map, evaluating an actual severity of the condition of the patient, evaluating an efficacy of the selected therapy, evaluating a risk score of the selected therapy, and updating the therapy efficacy-risk map based on the evaluated efficacy and risk score of the selected therapy.

A method of optimizing treatment of a condition includes monitoring one or more characteristics of a patient associated with a condition of the patient, predicting a severity of the condition of the patient, recommending a selected therapy to the patient based on a therapy-severity map, evaluating an actual severity of the condition of the patient, evaluating an efficacy of the selected therapy, and updating the therapy-severity map based on the evaluated efficacy of the therapy.

A mechanism for identifying orthosomnia, being the preoccupation with sensor-derived sleep measures or automated sleep analysis processes, within an individual. Interactions between the individual and a software application performing a sleep analysis process are monitored and used to generate a predictive indicator that indicates a likelihood that the individual has orthosomnia. This predictive indicator may be used to control the software application, and in particular, to control the display of information provided by the software application.

A method of deriving one or more individual thoracic parameters of a subject. The method comprises instructing a subject to perform a thoracic volume manipulation, receiving a plurality of measurements of a plurality of EM signals from a thoracic intrabody area of lungs of the subject during the thoracic volume manipulation, deriving a plurality of thoracic volume values at a plurality of different intervals during the thoracic volume manipulation so that each the thoracic volume value correspond with another of a plurality of estimated thoracic volumes achieved during the thoracic volume manipulation, and calculating at least one individual thoracic parameter of the subject by combining between the plurality of measurements and the plurality of thoracic volume values.

A method and apparatus for the treatment of Sleep Apnea events and Hypopnea episodes wherein one embodiment comprises a wearable, belt like apparatus containing a microphone and a plethysmograph. The microphone and plethysmograph generate signals that are representative of physiological aspects of respiration, and the signals are transferred to an imbedded computer. The embedded computer extracts the sound of breathing and the sound of the heart beat by Digital Signal Processing techniques. The embedded computer has elements for determining when respiration parameters falls out of defined boundaries for said respiration parameters. This exemplary method provides real-time detection of the onset of a Sleep Apnea event or Hypopnea episode and supplies stimulation signals upon the determination of a Sleep Apnea event or Hypopnea episode to initiate an inhalation. In one embodiment, the stimulus is applied to the patient by a cutaneous rumble effects actuator and/or audio effects broadcasting.

Disclosed is a method and device for assessing respiratory data in a monitored subject. The disclosed method comprises collecting respiratory data of the subject at different levels of exertion with a physiological monitoring system (15-19), the respiratory data at least relating to instantaneous lung volume and comprising the end expiratory lung volume (EELV) after expirations; collecting exertion level data of the subject at the different levels of exertion, the exertion level data at least relating to instantaneous oxygen demand and/or heart rate; establishing a parametric relation (14, 15) between the collected respiratory data and the collected exertion level data, the parametric relation being described by one or more parameters; and assessing the respiratory data of the subject in terms of the value of the one or more parameters. The method and device allow a reliable measuring of dynamic hyperinflation in subjects without requiring much attention on the part of the subject.

A method and apparatus for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals. The method for determining a respiration state on the basis of a plurality of biological indicators calculated using bio-signals includes collecting a photoplethysmography (PPG) signal measured by a PPG sensor and a cutaneous electric signal measured by an electrodermal activity (EDA) sensor; analyzing the collected PPG signal and cutaneous electric signal and calculating a plurality of biological indicators including a respiration rate; and comprehensively evaluating the plurality of biological indicators to determine a user's respiration state.