Medical devices and related patient management systems and parameter modeling methods are provided. An exemplary method of operating a sensing device associated with a patient involves obtaining current operational context information associated with the sensing device, obtaining a parameter model associated with the patient, calculating a current parameter value based on the parameter model and the current operational context information, obtaining one or more signals from a sensing element configured to measure a condition in a body of the patient, and providing an output that is influenced by the calculated current parameter value and the one or more signals.

An electromyography processing apparatus 1 includes an electromyography acquiring unit 21 configured to generate electromyography data indicating the time course of an electromyography acquired from an electrode set on a predetermined muscle of an exerciser performing a repetitive exercise, and an evaluation unit 25 configured to calculate and output a reproducibility index indicating the reproducibility of the repetitive exercise from the reproducibility of a transition of the electromyography in the repetitive exercise.

Disclosed are various embodiments for integrated diffuse correlation spectroscopy. A first control signal can be sent to a switch to cause an integrator to integrate a current from a photodiode. An integrated current can be received from the integrator, and a data signal can be sent to a computing device based at least in part on the integrated current. A second control signal can be sent to a switch to cause the integrator to cease integrating the current from the photodiode.

The present invention presents a device for calculating, during one step or each successive step of the gait of a subject, the push-off P.sub.0 of the subject, which is the power per kilogram released by the ankle push-off moment, which comprises: at least one inertial measurement unit (1A, 1B) on one foot of the subject, the inertial measurement unit (1A, 1B) having: at least one accelerometer to measure the vertical and antero-posterior accelerations and/or at least one gyroscope to measure the medic-lateral angular speed data {acute over (α)} during the gait, storage and calculation means (2A) connected to the Inertial measurement unit (1A, 1B), configured to calculate: for the foot, and for the step or each successive step of the gait:—the time of the heel-off and the time of the toe-off,—the push-off P.sub.0, by the Euler's equation stating that the sum of moments acting on the foot taken as a rigid body, being equal to the rate of change of the angular momentum of the foot, with the calculation of the push-off P.sub.0 at the time of the toe-off where the sagittal angular momentum is at its maximum in absolute value, displaying means (2B) connected to the storage and calculation means (2A).

An input interface is configured to receive a signal corresponding to a quantity of light that has passed through a living tissue of a subject. A pressurization controller is configured to control a pressurizing operation performed with a pressurization device attached to a body of the subject, thereby changing at least one of a thickness of the living tissue, an amount of blood contained in the living tissue, an amount of cellular interstitial fluid contained in the living tissue, an amount of blood flowing into the living tissue, and an amount of blood flowing out from the living tissue. A processor is configured to acquire, from a temporal change of the signal due to the pressurizing operation, a feature quantity that is used for estimating at least one of a physiological state of the living tissue and a disease state of the subject.

A signal representing heartbeat behavior is accurately restored. The present signal restoration system includes: a signal acquirer configured to acquire a first heartbeat signal representing heartbeat behavior; a first band-pass filter configured to generate a first signal by performing first band-pass filter processing on the first heartbeat signal; an integral calculator configured to calculate an integral value by integrating frequency intensity of the heartbeat represented by the first signal; a second band-pass filter configured to generate a third signal by performing second band-pass filter processing on a second signal representing the integral value with respect to time; and a restored signal generator configured to generate a restored signal representing heartbeat behavior based on first data generated by dividing the third signal at intervals of a predetermined time.

A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.

A apparatus for estimating concentration may include: a spectrum obtainer configured to obtain Raman spectra of an object; and a processor configured to extract, from the Raman spectra, at least one analyte spectrum related to an analyte and at least one non-analyte spectrum related to a biological component other than the analyte, and estimate concentration of the analyte based on a first area under a curve of the at least one analyte spectrum and a second area under a curve of the at least one non-analyte spectrum.

An apparatus and a method for monitoring a bio-signal measuring condition are disclosed. The apparatus includes a bio-signal receiver configured to receive a bio-signal that is measured from a user, and a processor configured to extract any one or any combination of a waveform feature, a period feature, and an amplitude feature, from the received bio-signal, determine whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are normal, using at least one predetermined determination reference corresponding to the extracted any one or any combination of the waveform feature, the period feature, and the amplitude features, and monitor a measuring condition of the received bio-signal, based on whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are determined to be normal.

The present technology relates to a measurement circuit, a driving method, and an electronic instrument capable of reducing power consumption. In the measurement circuit, irradiation light is emitted from the light emitting unit toward the object, and light from the object is received to measure pulse waves or the like. The measurement circuit includes: a light receiving unit that receives light from an object; an integrating unit that performs integration of a current generated in accordance with the reception of the light by the light receiving unit and generates a voltage according to the amount of reception of the light; and a pulse generating unit that generates a pulse signal having a pulse width corresponding to the amount of reception of the light on the basis of the voltage. The present technology can be applied to electronic instruments such as wearable devices, for example.