Abstract: Disclosed herein is a system for monitoring a patient that includes a cuff configured to inflate to at least partially occlude an artery of the patient and a cuff controller configured to inflate the cuff during a dynamic phase and generally maintain inflation of the cuff at about a target pressure during a static phase. The system also includes a sensor configured to receive a signal associated with the at least partially occluded artery and generate an output signal based on the received signal, and a cuff control module configured to determine the target pressure during the dynamic phase and based on the output signal, and control the cuff controller during the dynamic phase and the static phase.

Abstract: What is disclosed is a system and method for monitoring respiration of a subject or subject of interest using a thermal imaging system with single or multiple spectral bands set to a temperature range of a facial region of that person. Temperatures of extremities of the head and face are used to locate facial features in the captured thermal images, i.e., nose and mouth, which are associated with respiration. The RGB signals obtained from the camera are plotted to obtain a respiration pattern. From the respiration pattern, a rate of respiration is obtained. The system includes display and communication interfaces wherein alerts can be activated if the respiration rate falls outside a level of acceptability. The teachings hereof find their uses in an array of devices such as, for example, devices which monitor the respiration of an infant to signal the onset of a respiratory problem or failure.

Abstract: Artificial control of a prosthetic device is provided. A brain machine interface contains a mapping of neural signals and corresponding intention estimating kinematics (e.g. positions and velocities) of a limb trajectory. The prosthetic device is controlled by the brain machine interface. During the control of the prosthetic device, a modified brain machine interface is developed by modifying the vectors of the velocities defined in the brain machine interface. The modified brain machine interface includes a new mapping of the neural signals and the intention estimating kinematics that can now be used to control the prosthetic device using recorded neural brain signals from a user of the prosthetic device. In one example, the intention estimating kinematics of the original and modified brain machine interface includes a Kalman filter modeling velocities as intentions and positions as feedback.

Abstract: A beat detection device includes: a pulse wave sensor adapted to detect and output a pulse wave signal; a body motion sensor adapted to detect and output a body motion signal due to a body motion of a human body; a pulse wave signal filtering section adapted to generate an adaptive filter based on the body motion signal to extract a noise signal in the pulse wave signal, and to output a beat signal obtained by eliminating the noise signal from the pulse wave signal; and a filter coefficient setting section adapted to set a coefficient of the adaptive filter to be a predetermined value in response to detection of increase in a body motion change beyond a predetermined threshold value based on the body motion signal.

Abstract: A blood pressure measuring apparatus includes a sensing unit including a plurality of sensors sensing sphygmus waves at a measurement site, a selection unit selecting one sensor of the plurality of sensors based on the sphygmus waves sensed by the plurality of sensors, and a blood pressure estimation unit estimating blood pressure of the measurement site based on a sphygmus wave sensed by the selected sensor.

Abstract: Embodiments of the present disclosure relate to a system and method for determining a physiologic parameter of a patient. Specifically, embodiments provided herein include methods and systems for non-invasive determination of blood pressure. Information from a photoplethysmography sensor may be used to determine a systolic pressure, which in turn may be used to control a deflation pattern of a blood pressure cuff.

Abstract: An EEG monitoring device, contains at least one electrode, a non-linear analog signal processor, a variable resolution analog-to-digital converter, a storage, and a power source. The non-linear analog signal processor receives a signal from the at least one electrode and determines whether the signal is within a significant category. The variable resolution analog-to-digital converter converts signals received from the non-linear analog signal processor into high-resolution digital signals if the signals are within the significant category, and converts signals received from the non-linear analog signal processor at a low resolution if the signals are not within the significant category. The storage stores high-resolution digital signals received from the variable resolution analog-to-digital converter and the power source is connected to, and provides power to, the non-linear analog signal processor, the variable resolution analog-to-digital converter, and the storage.

Abstract: A method of filtering respiration noise from a localization signal includes acquiring a localization signal from at least one position measurement sensor within a localization field and acquiring an acceleration signal for at least one localization field generator (e.g., a patch electrode). A displacement signal for the field generator is calculated, for example by integrating the acceleration signal twice, and transformed into the frequency domain in order to calculate a fractional power indicative of patient respiration. The fractional power can then be compared to a threshold value, and the localization signal can be filtered if the fractional power exceeds the threshold value. Alternatively, the acquired acceleration signal can be used to gate collection of data points from the localization signal.

Abstract: A tongue location monitoring system, including, one or more position circuits that respond to transmissions from a transceiver, a transceiver that transmits to the one or more position circuits, a control circuit coupled to the transceiver: wherein the control circuit determines the location of a person's tongue based on the responses of the position circuits; and wherein either the transceiver or the position circuits are implanted in the muscle of the person's tongue or placed on the tongue, and the latter is placed outside the person's head.

Abstract: A device according to some embodiments may include a primary antenna configured to be located external to a subject. The device may also include at least one processor in electrical communication with the primary antenna and configured to receive a condition signal from an implantable device, the condition signal indicative of a precursor to sleep disordered breathing, and cause transmission of a primary signal from the primary antenna to the implantable device, in response to the condition signal, to stimulate at least one nerve in response to the precursor to sleep disordered breathing.

Abstract: A monitor system is disclosed. The monitor system includes a sensor with a sensor port. The monitor system further includes a recorder with a recorder port within a recording housing. The recorder port interfaces with the sensor port to receive signals from the sensor port. A recorder clock is defined within the recorder housing, with a recorder processor to store signals from the sensor. The recorder includes a data port to interface with a dock receiver. The monitor system includes a dock remotely located from the sensor and the recorder. The dock receiver couples the recorder to the dock. The monitor system further includes a data processor to analyze the sensor signals from the recorder. The data processor includes memory and a clock. Further included with the data processor are program instructions to assign the time and date of the sensor signals.

Abstract: A step rate optimization device (12). The device includes a timer, a pedometer, an arterial waveform sensor (24), a processor and an indicator (16). The device indicates to the user (10) of a substantially sub-optimal relationship between the user's pulse rate and stride rate when the user's dominant stride rate frequency is at about 2-3 Hz and has a larger amplitude than the component of the user's dominant pulse waveform frequency at about 4-7 Hz and of a substantially optimal relationship between the user's pulse rate and stride rate when the user's dominant stride rate frequency component is at about 4-7 Hz and has a larger amplitude than the component of the user's dominant pulse waveform frequency at about 2-3 Hz.