An ultrasound cardiac stimulation system includes: a system for measuring the heart electrical activity; a system for generating a beam of focussed ultrasound signals focussed on a targeted zone, the signals being calibrated to generate electrical stimulation in a zone of the heart, the beam generation being synchronised with a first selected time of the electrocardiogram, the generation of the beam corresponding to a pulse with a duration of less than 80 ms; a system for locating the targeted zone coupled with a system for positioning the system for generating the focussed beam to control the beam of focussed ultrasound signals in the targeted zone, the location system being synchronised with the system for generating the beam of focussed signals; a single monitoring system following in real time a temperature and tissue deformation in the targeted zone, the monitoring system taking measurements in synchronisation with the rhythm of the electrocardiogram.

A system has a plurality of diagnostic sensors and a first computing device interconnected to the plurality of diagnostic sensors for: commanding the plurality of diagnostic sensors to collect diagnostic data from a patient, determining if each of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, combining the collected diagnostic data for analysis when all of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, and prompting the patient to reposition at least one of the plurality of diagnostic sensors when the at least one sensor is determined as being mis-positioned from the corresponding predefined body location.

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

A method for monitoring blood pressure (BP) of a user using a cuffless monitoring system comprising a pulsatility waveform measuring device configured to measure a pulsatility waveform signal of the user, the method comprising an initialization routine (10) including performing an adequacy routine (20) for adjusting the measurement parameters of the pulsatility waveform measuring device (103); and performing a reliability test for determining a reliability of the measurement. The method provides incremental feedback of the adequacy of the acquired signals, the reliability of pulsatility waveforms, and the repeatability of the absolute BP values.

In part, the disclosure relates to computer-based methods, devices, and systems suitable for performing intravascular data analysis and measurement of various types of data such as pressure and flow data. The disclosure relates to probes and methods suitable for determining an event in a cardiac cycle such as flow threshold such as a peak flow, a fraction thereof, other intravascular parameters or a point in time during which peak flow or a change in one of the parameters occurs. An exemplary probe includes one or more of a pressure sensor, a resistor, a flow sensor and can be used to generate diagnostic data based upon measured intravascular and other parameters. In part, the disclosure relates to methods and systems suitable for determining a coronary flow reserve value in response to one or more of intravascular pressure and flow data or data otherwise correlated therewith.

A personal impact monitoring system is described herein comprising a monitoring station that receives impact events sent from personal impact monitors using a monitoring station receiver. The impact events which specify impact parameters associated with the impact events are stored in a data storage location associated with the monitoring station. Software operating on the operating station is configured to receive the impact events from the data storage location and to perform calculations based on the impact events to identify notable impact events.

A method for detecting in-vivo properties of a biosensor. In the inventive method, a sensitivity-to-admittance relation is provided and a raw current in the biosensor is measured. An in-vivo current response is also measured at first and second operating points. A time constant τ is determined by the electrical capacitance C of the working electrode and the electrical resistance R.sub.M of the membrane by τ=R.sub.M.Math.C. The first and second operating points are selected below and above τ, respectively. An analyte value in a sample of a body fluid is determined by using the raw current and compensating sensitivity drift in the biosensor, which in turn is compensated by using the measured value for the raw current and a corrected value for the sensitivity. The failsafe operation of the biosensor is monitored by using the in-vivo current response measured at the first and second operating points.

An apparatus for non-invasively estimating blood pressure is provided. Thee apparatus for estimating blood pressure may include a bio-signal measurer configured to measure a bio-signal from a user and a processor configured to estimate blood pressure using the measured bio-signal. The processor may extract a first feature and a second feature from the bio-signal at an extraction time, estimate changes in the first feature and the second feature which have occurred during a time period from a calibration time at which the first feature and the second feature are calibrated to the extraction time at which the first feature and the second feature are extracted, and estimate a blood pressure based on the changes in the first feature and the second feature.

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.

A wearable article comprising: a first biosensor; an erasable and programmable memory configured to store information relating to the wearable article and/or the first biosensor; and an interface for connection to an electronic module. The interface is configured to permit the transfer of information between the memory and an electronic module connected to the interface. The electronic module is able to read information from the memory and write information to the memory via the interface. The memory may have a single-wire input-output interface. The information may comprise wearable article size information. The wearable article size information may be used to determine a compensation that should be performed to sensor data received from the wearable article to compensate for electrical properties of the wearable article.