A mobile music listening device synchronizing in a personalized way music and movement, and dedicated to improving the kinematics of the runner. Thanks to inertial units connected to a smartphone, the runner's steps are detected in real time by the mobile application. A dedicated algorithm adapts the pulsation of the musical excerpts in such a way as to bring the runner to a suitable cadence, capable of preventing injuries. A method for the synchronization of the rhythmic stimulation with the biological variability using a Kuramoto model characterized in that phase oscillator with a coupling term from the movement dynamics with parameters of, coupling strength, maximum and minimum frequencies for a fraction of the unmodified song frequency, maximum difference between the tempo and target frequency, Target the target frequency.

A sensor, such as a photoplethysmography sensor, for non-invasively monitoring a characteristic of an organism, such as a vital body sign. The sensor has multiple light sources disposed on a substrate and an array of optical probing channels for conveying light from the light sources to a probed region. Each detector pixel of an array of detector pixels receives light from a respective optical detection channel after interaction with a subregion of the probed region and spatial filtering, and generates a corresponding pixel signal. A processor derives a value of the vital body sign based at least upon the plurality of pixel signals

The present invention provides a carotid blood pressure detection device, comprising: a first sensing unit, a second sensing unit, and a controller connected or coupled to the first sensing unit and the second sensing unit. The first sensing unit is disposed on a subject's neck and adjacent to a first position of the subject's carotid arteries. The second sensing unit is disposed on the subject's neck and adjacent to a second position of the subject's carotid arteries. The controller derives a mean arterial pressure of a section of the subject's carotid arteries that lies between the first position and the second position of the subject's carotid arteries from pulse wave data measured and obtained by the first sensing unit and pulse wave data measured and obtained by the second sensing unit.

The invention comprises a method and apparatus for sampling skin of a person as a part of noninvasive analyte property determination system, comprising the steps of: providing an analyzer, comprising: sources and at least three detectors at least partially embedded in a probe housing, the probe housing comprising a sample side surface, the detectors including: a range of differing radial distances from a first illumination zone; repetitively illuminating an illumination zone of the skin with photons in a range of 1200 to 2500 nm; detecting portions of the first photons with the at least three detectors; and using signals from the at least three detectors and a metric, respectively classifying the skin into a first, second, and third tissue state, the radial distances of the at least three detectors differing from each other by greater than ten percent.

A wristband biosensing system, a wristband biosensing apparatus, and a biological sensing method are provided. The system includes a wristband body worn on a wrist of a user, at least one physiological signal sensor, at least one deformation sensor, and a processing device coupled to the physiological signal sensor and the deformation sensor. The physiological signal sensor is disposed on the wristband body at a position corresponding to at least one sensing portion of the wrist to detect a physiological signal of each sensing portion. The deformation sensor is disposed around each physiological signal sensor to detect deformation of each sensing portion and output a deformation signal. The processing device receives the physiological signal and the deformation signal, inquires a compensation signal corresponding to the deformation signal, and corrects the physiological signal by using the compensation signal, so as to output a corrected physiological signal of each sensing portion.

An apparatus for estimating bio-information includes: an impedance sensor including a pair of input electrodes and a pair of receiving electrodes, and configured to measure bio-impedance of a user by applying a current to the pair of input electrodes and by measuring a voltage between the pair of receiving electrodes; and a processor configured to estimate bio-information by applying, to the measured bio-impedance, an estimation model that uses a correlation between the measured bio-impedance and the bio-information to be estimated.

We disclose an improvement for oximeters, which makes oximeters more reliable when making measurements on patients of darker skin complexion. The device of our invention discloses a re-entrant cavity, inside which some of the tissues of the patient are forced into, by pressing the device of our invention against the skin of the patient. The probing electromagnetic radiation beams (typically deep red and infra-red radiation) are directed to propagate through said re-entrant cavity, inside which some of the outer tissues of the patient are forced, along a path that is approximately parallel to, and just under, the skin of the patient. This probed volume inside said re-entrant cavity contains more arterial and less venous blood, when compared with measurements made by perpendicular beams, that penetrate deep under the skin, which causes that the measurements made by our device are more accurate than many existing oximeters.

The invention comprises a method for estimating state of a cardiovascular system, comprising the steps of: providing a cardiac analyzer, comprising: a blood pressure sensor, the blood pressure sensor generating a time-varying pressure state waveform output from a portion of a person; a system processor connected to the blood pressure sensor; and a dynamic state-space model of a cardiovascular system, the system processor receiving cardiovascular input data, from the blood pressure sensor, related to a transient pressure state of the cardiovascular system, where at least one probabilistic model, of the dynamic state-space model, operating on the time-varying pressure state waveform output generates a probability distribution function to a non-pressure state of the cardiovascular system. The probability distribution function is iteratively updated using synchronized updated time-varying pressure state waveform output from the blood pressure sensor and a non-pressure state output related to a cardiovascular system parameter is generated.

Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch. A data analytics application on the cloud-based server may be configured to: integrate the invasive glucose measurement and the non-invasive glucose measurement; identify a correlation between the invasive glucose measurement and the non-invasive glucose measurement; and/or generate a predictive model based on the invasive glucose measurement and the non-invasive glucose measurement.

A method, intended for the evaluation of the quality of at least one periodic or quasi-periodic physiological signal, which includes the steps of: segmenting the physiological signal temporally into a plurality of signal segments; for each given signal segment, determining a distance representative of a shape difference between the given signal segment and at least one signal segment temporally offset relative to the given signal segment; and determining a quality index of the given signal segment according to the distance determined for the given signal segment.