An apparatus for monitoring a patient post operation having electrically conducting leads which are adapted to extend from inside the patient. The leads having electrodes adapted to communicate with a heart of the patient and apply electrical signals to the heart. The electrodes providing cardiac signals to the computer in response to the electrical signals so the computer can determine in real time at least one of heart volume, end diastolic heart volume, end systolic heart volume, stroke volume, change in heart volume, change in stroke volume, contractility, respiration rate or tidal volume regarding the patient.

Systems and methods are provided for determining an acceleration at a location of interest within one of a user's head and neck. At least one of linear acceleration data, angular acceleration data, angular velocity data, and orientation data is produced using at least one sensing device substantially rigidly attached to an ambient-accessible surface of the user's head. The location of interest is represented relative to a position of the at least one sensing device as a time-varying function. An acceleration at the location of interest is calculated as a function of the data produced at the sensing device and the time-varying function representing the location of interest. The calculated acceleration at the location of interest is provided to at least one of the user and an observer in a human-perceptible form.

A computing device, such as a wearable device, may include at least two electrodes mounted on a body. The computing device may determine an electrical signal associated with a circuit that includes the at least two electrodes and the user. A pressure applied to at least one electrode of the at least two electrodes may be determined from the electrical signal, and at least one function of the computing device may be implemented, based on the pressure.

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 for generating an acoustic stimulus for use in an ear biometric process on a user, the method comprising: receiving an indication of stimulation frequencies for use in the ear biometric process; grouping the stimulation frequencies into bands of a psychoacoustic scale; generating the acoustic stimulus, the acoustic stimulus comprising a masked bandpass component within each band of the psychoacoustic scale that comprises one or more of the stimulation frequencies.

A psychological evaluation device that estimates interest of a subject in a content used integrally with a terminal held by the subject. Acceleration data obtained by an acceleration sensor built in the terminal is acquired, and a frequency analysis is performed on the acquired acceleration data to obtain acceleration in the gravity direction of the terminal. By obtaining the acceleration in the gravity direction of the terminal, it is possible to, for example, estimate the subject's interest in the content based on the integral value of each frequency component of the acceleration in the gravity direction obtained by performing the frequency analysis.

Provided is an apparatus for measuring implant osseointegration, and the apparatus for measuring implant osseointegration includes: a vibration generation unit configured to apply multiple vibrations with frequencies in different bands, respectively, to an implant fixture; a vibration sensor configured to measure three-axis vibration information of the implant fixture caused by the vibrations from the vibration generation unit; and a control unit configured to determine the degree of osseointegration based on the measured vibration information.

A method to detect and analyze cough parameters remotely and in the background through the user's device in everyday life. The method involves consecutive or selective execution of 4 stages, which solve a variety of the following tasks: Detection of coughing events in sound, in environmental noise. Separation of the sound containing the cough into the sound of the cough and the rest of the sounds, even when extraneous sounds occurred during the cough. Identify the user by the sound of the cough to prevent analyzing the sounds of the cough that do not belong to the user (for example when another person coughs nearby). Assessment of cough characteristics (wet/dry, severity, duration, number of spasms, etc.). The method can work on wearable devices, smart devices, personal computers, laptops in 24/7 mode or in a selected range of time, and has a high energy efficiency.

A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.

An apparatus for monitoring a patient post operation having electrically conducting leads which are adapted to extend from inside the patient. The leads having electrodes adapted to communicate with a heart of the patient and apply electrical signals to the heart. The electrodes providing cardiac signals to the computer in response to the electrical signals so the computer can determine in real time at least one of heart volume, end diastolic heart volume, end systolic heart volume, stroke volume, change in heart volume, change in stroke volume, contractility, respiration rate or tidal volume regarding the patient.