A heart generated signal is provided by a heart sensor of a mobile device to an analog to digital (A/D) converter for A/D converting the sensor provided signal. The A/D converted heart signal is processed to provide heart rate. The heart rate is recorded or stored in the mobile device or is transmitted in a wireless communication system. The mobile device receives sensor provided Electro Cardiogram (ECG) signal. The ECG signal is stored or is provided to an interface unit. The mobile device has transceivers for receiving and transmitting Orthogonal Frequency Division Multiplexed (OFDM) signals and for modulating and transmitting spread spectrum baseband signals. The spread spectrum baseband signals have cross-correlated in-phase and quadrature-phase filtered baseband signals.

A system is provided for detecting fluid accumulation in a subject. A movement induced by the beating of the heart is analyzed over time, by monitoring a movement, pressure or force. Changes in density caused by fluid accumulation result in changes in the sensor arrangement signals. Changes are used to indicate that fluid accumulation such as internal bleeding is likely to have taken place.

Continuous glucose monitoring (CGM) may include applying a periodic excitation signal via an electrode of a CGM sensor to human interstitial fluid to drive an oxidation/reduction reaction, and measuring the current through the electrode. In some embodiments, the measured current is sampled and digitized, and various harmonics of the excitation signal's fundamental frequency are extracted. A set of relationships of at least two harmonics each is generated from the spectral amplitudes of a set of pairs, triplets, etc., of the harmonics, and the set of relationships is mapped to a glucose concentration such as based on the contents of a harmonic relationship database having a pre-existing set of harmonic relationships and glucose concentrations to which those sets of harmonic relationships correspond, for example. Numerous other embodiments are provided.

A measurement device and method for measuring psychology stress index and blood pressure is disclosed. When the measurement device is in the psychology stress measurement mode and a pressurizing motor unit is pressurizing an airbag unit with a variable speed, the micro-processor unit may control the pressurizing motor unit to stop pressurizing the airbag unit after the pressure signal is determined as a pulse signal, and the micro-processor unit may measure the pulse signal to determine the psychology stress index. The psychology stress index is a ratio of SDNN and RMSSD according to interval data of the pulse signal within a period of time.

Systems and methods for detecting a target cardiac condition such as events indicative of worsening heart failure are described. A system may include sensor circuits for sensing physiological signals and a signal processor for generating a predictor trend indicative of temporal change of the physiological signal. The predictor trend may be transformed into a sequence of transformed indices using a codebook that includes a plurality of threshold pairs each including onset and reset thresholds. The codebook may be constructed and updated using physiological data. The system may detect target cardiac condition using the transformed indices.

Methods for calculating a MetaKG signal are provided. The method including illuminating a region of interest in a sample with a near-infrared (NIR) light source and/or a visible light source; acquiring images of the region of interest; processing the acquired images to obtain metadata associated with the acquired images; and calculating the MetaKG signal from the metadata associated with the acquired images. Related systems and computer program products are also provided.

An information processing apparatus includes a processor configured to estimate a waveform of heartbeats by inputting a waveform of a measured pulse wave to a model constructed by mounting a pulse wave measurement device and a heartbeat measurement device to a test subject and calculating the relationship between respective waveforms output from the devices.

A method and apparatus for monitoring arterial properties, including systolic and diastolic pressure levels, of a subject is provided, in which a hardware processor receives and analyzes ballistocardiogram (BCG) data of the subject. A non-transient computer readable medium, accessible by the hardware processor, contains instructions that, when executed by the hardware processor, identify features of the BCG waveform and determine the arterial properties therefrom. For example, a diastolic pressure level may be determined from a time interval between the ‘I’ and ‘J’ peaks of the waveform and a systolic pressure level determined from the amplitude difference between the ‘J’ and ‘K’ peaks of the waveform in combination with the ‘I-J’ time interval or amplitude difference. A physical mechanism for the BCG data is disclosed that enables other arterial properties of the subject to be determined from the BCG data alone or from the BCG data in combination with other measurements.

A soft-field tomography system includes a plurality of transducers, one or more excitation drivers, one or more response detectors, and a soft-field reconstruction module. The transducers are configured for positioning proximate a surface of an object to be imaged, and are configured to apply excitations to the surface of the object. The excitation drivers are coupled to the transducers and configured to generate excitation signals to be applied by the transducers. The response detectors are coupled to the transducers and configured to measure a response of the object at the transducers to acquire an Electrical Impedance Tomography (EIT) data set. The soft-field reconstruction module is configured to select a model domain for the EIT data set that represents a predetermined shape, determine a minimally anisotropic error in the model domain, and perform isotropization using the determined minimally anisotropic error to recover a boundary shape and isotropic conductivity.

One aspect of the subject matter described in this disclosure can be implemented in a device capable of estimating blood pressure. The device includes two or more sensors capable of performing measurements along an artery. The device also includes at least one processing unit coupled with the two or more sensors. The processing unit is capable of accessing one or more parameters including a stress-strain parameter based on a hydrostatic pressure calibration. The processing unit also is capable of determining a pulse transit time (PTT) based on the measurements, and determining a pulse wave velocity (PWV) based on the PTT. The processing unit is further capable of determining a blood pressure based on the PWV and the stress-strain parameter.