A wearable rapid pulse confirmation (RPC) device is designed to be worn by a living subject, and includes a Doppler array comprising at least one piezoelectric ultrasonic transducer, configured to detect a change in blood velocity in a blood vessel; a screen; a loud speaker; and a band or adhesive configured to hold the wearable RPC device in proximity to a body surface of the living subject. The Doppler array is configured to detect a change in blood velocity, pulse rate, pulse strength, or a combination thereof in a blood vessel; and to provide feedback through the screen and the loudspeaker. The Doppler array may include multiple types of piezoelectric ultrasonic transducers, including low frequency piezoelectric ultrasonic transducers having a working frequency ranging from 2 MHz to <6 MHz; medium frequency piezoelectric ultrasonic transducers having a working frequency of 6 MHz to 10 MHz; and high frequency piezoelectric ultrasonic transducers having a working frequency of 10 MHz to 18 MHz.

Electrode array for monitoring of physiological parameters and devices including or utilizing same, the electrode array including an active electrode configured to provide an electrical signal and at least two inactive electrodes configured to collect the electrical signal transferred from the active electrode, wherein each of the at least two inactive electrodes are positioned at a different predetermined distance from the active electrode.

Electrode array for monitoring of physiological parameters and devices including or utilizing same, the electrode array including an active electrode configured to provide an electrical signal and at least two inactive electrodes configured to collect the electrical signal transferred from the active electrode, wherein each of the at least two inactive electrodes are positioned at a different predetermined distance from the active electrode.

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.

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.

A measurement device 100 includes a light source that irradiates a subject with light, a drive control unit that intermittently drives the light source, a light receiving element that receives scattered light of the light from the subject and generates an electric signal, and an amplifier that amplifies the electric signal with an integration circuit.

A method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic scattering light (DLS) is disclosed herein. In particular, a non-pulsatile blood-shear-rate-descriptive (BSRD) signal(s) is optically generated and analyzed. In some embodiments, the BSRD signal is generated dynamically so as to adaptively maximize (i.e. according to a bandpass or frequency-selection profile) a prominence of a predetermined non-pulsatile physiological signal within the BSRD. In some embodiments, the BSRD is subjected to a stochastic or stationary-status analysis. Alternatively or additionally, the neurological or fitness state may be computed from multiple BSRDs, including two or more of: (i) a [sub −200 Hz, ˜300 Hz] BSRD signal; (ii) a [˜300 Hz, ˜1000 Hz] signal; (iii) a [˜1000 Hz, ˜4000 Hz] signal and (iv) a [˜4000 Hz, z Hz] (z>=7,000) signal.

A method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic scattering light (DLS) is disclosed herein. In particular, a non-pulsatile blood-shear-rate-descriptive (BSRD) signal(s) is optically generated and analyzed. In some embodiments, the BSRD signal is generated dynamically so as to adaptively maximize (i.e. according to a bandpass or frequency-selection profile) a prominence of a predetermined non-pulsatile physiological signal within the BSRD. In some embodiments, the BSRD is subjected to a stochastic or stationary-status analysis. Alternatively or additionally, the neurological or fitness state may be computed from multiple BSRDs, including two or more of: (i) a [sub −200 Hz, ˜300 Hz] BSRD signal; (ii) a [˜300 Hz, ˜1000 Hz] signal; (iii) a [˜1000 Hz, ˜4000 Hz] signal and (iv) a [˜4000 Hz, z Hz] (z>=7,000) signal.

An arousal level prediction apparatus and method are disclosed. The arousal level prediction apparatus obtains first biological information indicating current biological information of the user, obtains first environment information indicating a current environment around the user, and obtains living information of the user indicating an activity history of the user. The arousal level predication apparatus includes a process that calculates a first arousal level indicating a current arousal level of the user based on the first biological information, predicts a second arousal level, which is an arousal level of the user at a certain period of time later, based on the first arousal level, the first environment information and the living information, and outputs the second arousal level.

An electronic apparatus includes an output interface and a controller. The output interface is configured to output a signal on the basis of scattered light from a measured part. The controller is configured to calculate a temporal change of a power spectrum on the basis of the signal and detect noise included in the signal on the basis of the temporal change of the power spectrum.