An apparatus for estimating bio-information based on pulse wave signals of multiple wavelengths is disclosed. The bio-information estimating apparatus may include: a sensor part comprising a pulse wave sensor configured to measure a multi-wavelength pulse wave signal at a first point in time when a first pressure is applied from an object to the sensor part and at a second point in time when a second pressure is applied from the object to the sensor part; and a processor configured to estimate bio-information based on a difference between the multi-wavelength pulse wave signal measured at the first pressure and the multi-wavelength pulse wave signal measured at the second pressure.

An example information processing system executes a game application. The information processing system obtains user information for calculating information relating to sleep of a user, and calculates health information relating to sleep and/or fatigue of the user based on the obtained user information. The information processing system controls a game progress of the game application based on the health information.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

A method and system for monitoring oxygen saturation of a patient are provided. An example system includes a wearable device having a first optical sensor to measure a first red wavelength photoplethysmography (PPG) signal and a first infrared wavelength PPG signal and a second optical sensor to measure a second red wavelength PPG signal and a second infrared wavelength PPG signal. The system further includes a processor configured to determine that conditions for calibration of the first optical sensor are satisfied, determine a first ratio for obtaining the oxygen saturation, a first parameter for modifying the first red wavelength PPG signal, a second parameter for modifying the first infrared wavelength PPG signal, and a second ratio for obtaining the oxygen saturation. The processor is further configured to determine a value of the oxygen saturation and provide a message regarding a health status of the patient.

A non-transitory computer-readable medium comprising instructions associated with breathing. The instructions, when executed by a processor of a user device, causes the user device to perform the following operations: transmitting to a breathing device a breathing pattern including at least two of the following: an inhale period, an exhale period, and hold period, receiving data from the breathing device associated with the breathing pattern, receiving breathing data from the breathing device associated with a user performing the breathing pattern, and displaying the breathing data in real-time.

Provided are systems and methods for improving movement irregularities.

The apparatus includes the short-term stress calculation unit calculating a short-term stress value that indicates stress felt by a subject in a first period, the long-term stress calculation unit calculating a long-term stress value that indicates stress felt by the subject in a second period that is longer than the first period and includes the first period, the short-term stress change amount calculation unit calculating a short-term stress change amount of the subject based on the difference between the short-term stress values calculated at different timings, the long-term stress change amount calculation unit calculating a long-term stress change amount of the subject based on the difference between the long-term stress values calculated at different timings, and the stress release degree calculation unit calculating a stress release degree indicating the extent of stress released by the subject based on the short-term stress change amount and the long-term stress change amount.

Provided is a biofeedback device using an electrocardiogram, and the biofeedback device using an electrocardiogram may include: a signal acquisition unit acquiring an electrocardiogram signal of a user from an electrocardiograph; an analysis unit analyzing the acquired electrocardiogram signal and providing a state diagnosis result of the user as an analysis result; and a control unit controlling at least one stimulation unit among a plurality of stimulation units for state control of the user based on the state diagnosis result, and a stimulation corresponding to the at least one stimulation unit may be provided to the user by the control of the control unit.

A hand stimulation device that includes a housing defining an interior plenum and having a top portion and a bottom portion; a pair of drive electrodes structured and arranged in a first region of the top portion; a pair of sense electrodes structured and arranged in a second region of the top portion; a processing device disposed within the interior plenum and in communication with each of the pair of drive electrodes and the pair of sense electrodes; at least one sensing device adapted to measure and collect biometric data about the user; and at least one motor that is adapted to generate at least one of tactile feedback and a haptic pattern to a user.

The invention disclosed herein relates to improvements in the collection personal health data. It further relates to a Personal Health Monitor (PHM), which may be a Personal Hand Held Monitor (PHHM), that incorporates a Signal Acquisition Device (SAD) and a processor with its attendant screen and other peripherals. The SAD is adapted to acquire signals which can be used to derive one or more measurements of parameters related to the health of a user. The computing and other facilities of the PHM with which the SAD is integrated are adapted to control and analyse signals received from the SAD. The personal health data collected by the SAD may include data related to one or more of blood pressure, pulse rate, blood oxygen level (SpO.sub.2), body temperature, respiration rate, ECG, cardiac output, heart function timing, arterial stiffness, tissue stiffness, hydration, blood viscosity, blood pressure variability, the concentration of constituents of the blood such as glucose or alcohol and the identity of the user.