Circadian health recommendations and/or automation instructions and spectral data on which they are based can be provided to a user through a mobile device that lacks a spectral sensor. A user mobile device lacking a spectral data uploads place and time data to a cloud-based circadian health system. A light-exposure model of the circadian health system estimates spectral data values based on the place and time data. The light-exposure model’s estimation can be based on data received by the circadian health system based on user devices equipped with spectral sensors and from other sources. A relatively small number of mobile user devices (with spectral sensors) can thus provide for spectral value estimates for a relatively large population of mobile user devices that lack spectral sensors—greatly expanding the range and number of people that benefit from improved circadian health.

A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.

There is provided a system (100) and method for determining a water or lipid level of skin. The system (100) comprises at least two electrodes (108) suitable for contacting skin, and a signal generator (106) configured to generate an electrical signal at a frequency across the at least two electrodes (108). The system (100) is configured to measure a conductivity between the at least two electrodes (108). The system (100) is further configured to determine a water or lipid level of skin based on the measured conductivity and the frequency of the electrical signal.

A system, device and method are provided for exposing a patient to therapeutic resonant frequency patterns (RFP) for therapy and treatment of a patient, for example, biological tissue such as muscle, tendon, ligament, and nerve tissue. The resonance frequencies originate from many bioactive substances, pharmaceuticals or other compounds, and key frequencies of the RFP of a compound can be replicated and then delivered to a patient using an electromagnetic catalyst to provide therapeutic benefits. RFPs can be imprinted in a separate device using a plasma imprinting device and method. This separate device can be actively excited by a delivery mechanism that uses electromagnetic or mechanical waves to interact with the device. The actively excited device transmits the RFPs or therapeutic resonant frequency patterns to the patient for similar enhancements and therapeutic benefits.

A system and method for determining the weight gain trend of a user. The weekly weight oscillation is determined, and a future weight trend can be predicted. At least three weeks of weight oscillation trends are typically used to predict future weight trends.

Ear buds may have sensors to gather orientation information such as accelerometer measurements during user movements. A host electronic device may communicate wirelessly with the ear buds and may form part of an ear bud system that supplies the user with coaching and feedback while evaluating user performance of a head movement routine or other exercise routine. During operation, the ear buds may gather accelerometer data in a first reference frame such as a reference frame associated with the ear buds and may use a rotation matrix to rotate the data in the first reference frame into a second reference frame such as a neutral reference frame with a fixed orientation to the earth. The data in the neutral reference frame may be analyzed using a user head pose look-up table to categorize measured user head positions as corresponding to respective user head poses.

A rehabilitation feedback system is used during rehabilitation of one or more body appendages of a user. The system includes four finger tracking elements and a thumb tracking element supported for movement relative to one another so as to allow a user to performs a gripping motion when the elements are coupled to the fingers and thumb of a user. A biasing member provides a resistance force acting to urge each tracking element towards a starting position thereof. A visual barrier is adapted to hide the hand of the user at a first side of the visual barrier from direct visual sight by the user at a second side of the visual barrier. A sensor at the first side of the visual barrier detects movements of the tracking elements and communicates with an indicator element detectable by the user from a second side of the visual barrier.

Systems and methods for lean muscle mass monitoring of patients and for identifying and treating at least one of Cachexia or Sarcopenia are disclosed. The system may include a dynamometer provided to patients, the dynamometer being configured to perform remote monitoring. The dynamometer may be used and data may be collected by patients without the supervision of a healthcare professional. Using the collected data, lean muscle mass may be tracked over time, to provide fast and accurate assessment of conditions. Using such an assessment, early treatment options can be targeted to patients to avoid progression into various disease states, for examples, more severe states of at least one of Cachexia or Sarcopenia.

Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.

A device for directing respired air includes a frame having a top portion, a bottom portion opposite the top portion, and at least one shoulder disposed between the top portion and the bottom portion to receive a portion of a headset. The device further includes an attachment mechanism coupled to the frame for releasably securing the frame to the headset. In addition, the device also includes a wall surface downwardly depending from the bottom portion of the frame to form a curved baffle. The curved baffle directs air corresponding to respiration toward the bottom portion of the frame, and thus toward an input interface of the headset when the frame is releasably secured to the headset.