Abstract: A physiological function detecting earphone includes an earphone body, an earplug mounted at one side of the earphone body and defining a window, a light processing module including a light sensing module towards the window, and a signal processing module. A detecting method using the earphone by a participant includes the steps of: the participant inserts the earplug in the ear canal thereof; the light sensing module senses the changes of light emitted through the window and then reflected by the wall of the ear canal; the light processing module processes the reflected light changes to get photoplethysmography (PPG) signals; and the signal processing module receives and processes the PPG signals to get physiological information of the participant.

Abstract: A time domain rule-based processor provides recognition of pulses in a pulse oximeter-derived waveform.

Abstract: A vector method for monitoring a subject's sleep-disordered breathing utilizing a single, anatomy-attached (anatomically outside or implanted inside), three-orthogonal-axis accelerometer(s), including the steps of (1) collecting from a sleeping subject three-orthogonal-axis data relating to at least one of sound data, subject posture, subject activity, snoring, and respiration, and (2) following such collecting, processing and analyzing collected data to detect associated, disordered breathing including assessing the presence of at least one of (a) sleep-disordered breathing generally, (b) sleep apnea specifically, and (c) differentiation between central and obstructive sleep apnea. Further involved is the acquiring of ECG data, and that the mentioned processing and analyzing include recognition of such acquired ECG data.

Abstract: A patient monitoring system may receive a photoplethysmograph (PPG) signal including samples of a pulse waveform. The PPG signal may demonstrate morphology changes based on respiration. The system may calculate morphology metrics from the PPG signal, the first derivative of the PPG signal, the second derivative of the PPG signal, or any combination thereof. The morphology metrics may demonstrate amplitude modulation, baseline modulation, and frequency modulation of the PPG signal that is related to respiration. Morphology metric signals generated from the morphology metrics may be used to determine respiration information such as respiration rate.

Abstract: A method for manufacturing a removable dental prosthesis using a three-dimensional (3D) printer includes receiving dental impressions of a patient obtained using a dental impression tray assembly, the dental impressions including a bite registration and at least a mandibular impression or a maxillary impression; receiving information related to the patient's jaw relations obtained using the dental impression tray assembly, the jaw relations including a vertical dimension and a centric relation obtained during the patient's single visit to a dentist; scanning the received dental impressions with a 3D scanner to provide data representative of an edentulous shape of the patient; generating a 3D model of the dental prosthesis based on the data and the received information related to the patient's jaw relations using 3D design software; displaying the generated 3D model on a display, allowing customization of the 3D model; and 3D printing the dental prosthesis according to the 3D model.

Abstract: A dyslexia screening system suitable for clinical use includes an integrated headset that efficiently and conveniently performs an auditory evoked response (ERP) test by positioning electrodes about the ears of the subject. An integral control module automatically performs the test, providing simplified controls and indications to the clinician. A number of screening tests that are stored in the headset are periodically uploaded for billing, remote analysis and result reporting. A paradigm that characterizes testing performed for a subject along with the patient identification and/or patient demographics are stored in an associated fashion for later fusion and analyses with similar but not necessarily identically constructed ERP tests.

Abstract: Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

Abstract: Methods, devices, and processor-readable storage media are provided for the diagnosis of heart failure. One method includes collecting, using an implantable device, reference episodes; generating an in-suspicion model-cycle and an off-suspicion model-cycle based on the reference episodes; and determining whether to generate a heart failure alert, based on a difference between the in-suspicion model-cycle and the off-suspicion model-cycle.

Abstract: A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart beats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Abstract: Disclosed embodiments pertain to the measurement of heart rate in the presence of motion and noise. Spectral peaks in measurements by an optical sensor are compared with spectral peaks obtained from a motion sensor signal measurements, to obtain a fundamental frequency in the optical sensor signal, where the fundamental frequency is associated with a user's heart rate. A first heart rate may be estimated based on the fundamental frequency. A variety of quality metrics may be determined for the first heart rate estimate. A second estimated heart rate may be determined based by processing a frequency domain representation of the optical sensor signal based on a frequency domain representation of the motion sensor signal. One or more of the previously determined quality metrics may be dynamically adjusted based on a comparison of first and second estimated heart rates.

Abstract: A device comprising: a handpiece having one or more attachment ports; a tubeset having one or more attachment features for connecting the tubeset to the one or more attachment ports in the handpiece; a removable tip having an attachment arm for attaching to the one or more attachment ports in the handpiece; wherein the device comprises one or more of the following: the handpiece includes an attachment port that attaches the handpiece to an active lead and a return lead and the device is adapted to use only the active lead or both leads so that the device can switch between bi-polar energy and mono-polar energy; the tubeset has one or more fluid conduits that are in fluid communication with the removable tip, wherein the removable tip is located at a distal end of the device; and the handpiece connects to one or more electrical input lines; the tubeset connects to one or more fluid lines, and the removable tip is free of direct connection to both the one or more electrical input lines and the one or more fluid

Abstract: Systems and methods are provided for evaluating an expected effectiveness of cardiac resynchronization therapy. Electrocardiogram (ECG) data is received as at least one ECG lead from a set of electrodes. A frequency spectrum representing the ECG data is generated via a Fourier transform. At least one predictor value is extracted from the calculated frequency spectrum. A fitness parameter, representing the expected effectiveness of cardiac resynchronization, is determined from at least the extracted predictor value.

Abstract: A method of implanting a blood pump in a heart of a mammalian subject includes maintaining a temporary plug in an inlet opening of a pump having a pump body and an outlet cannula projecting from the pump body, advancing the pump into a ventricle of the heart through a hole in a wall of the heart so that the inlet of the pump is disposed within the ventricle and the outlet cannula extends through a valve of the heart into an artery, and then withdrawing the temporary plug from the inlet of the pump.

Abstract: The implantable electrode system of the preferred embodiments includes a conductor, an interconnect coupled to the conductor, an insulator that insulates the interconnect, and an anchor that overlaps a peripheral edge of the electrode layer. The anchor is mechanically interlocked with the insulator. This structure is particularly useful with the electrode layer being a neural interface that is configured to provide either a recording and stimulating function.

Abstract: Disclosed is a new architecture for an IPG having a master and slave electrode driver integrated circuits. The electrode outputs on the integrated circuits are wired together. Each integrated circuit can be programmed to provide pulses with different frequencies. Active timing channels in each of the master and slave integrated circuits are programmed to provide the desired pulses, while shadow timing channels in the master and slave are programmed with the timing data from the active timing channels in the other integrated circuit so that each chip knows when the other is providing a pulse, so that each chip can disable its recovery circuitry so as not to defeat those pulses. In the event of pulse overlap at a given electrode, the currents provided by each chip will add at the affected electrode. Compliance voltage generation is dictated by an algorithm to find an optimal compliance voltage even during periods when pulses are overlapping.

Abstract: A probabilistic digital signal processor is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed (1) to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm or (2) iteratively to the dynamic state-space model. For example, the probabilistic processor operates using a physical model on data from a mechanical system or a medical meter or instrument, such as an electrocardiogram. Output of the physical model yields an enhanced output of the original data, an output to a second physical parameter not output by the medical meter, or a prediction, such as an arrhythmia warning.

Abstract: According to one embodiment, a blood flow perfusion analyzing apparatus includes tissue and arterial TCC calculation units, first and second making units, a deconvolution unit and a blood flow information calculation unit. The tissue TCC calculation unit obtains tissue TCCs. The arterial TCC calculation unit calculates an arterial TCC. The first making unit makes first sets, starting from a first time in which elements corresponding to the tissue are arrayed one-dimensionally, based on the tissue TCCs. The second making unit makes a second set, starting from a second time after the first time, in which elements corresponding to the artery are arrayed two-dimensionally, based on the arterial TCC. The deconvolution unit calculates transfer functions of the tissue based on the first and second sets. The blood flow information calculation unit calculates information on a blood flow perfusion based on the transfer functions.

Abstract: A catheter system for controlled sympathectomy procedures is disclosed. A catheter system for controlled micro ablation procedures is disclosed. Methods for performing a controlled surgical procedure are disclosed. A system for performing controlled surgical procedures in a minimally invasive manner is disclosed.

Abstract: A method and system for monitoring a patient under anesthesia involves determining a drug sensitivity index for the patient. Patient demographic information and amount of anesthetic information is obtained, wherein the amount of anesthetic information includes each drug administered to the patient and the dose amount thereof. An effect site concentration, which represents a total anesthetic concentration in a patient's brain, is then estimated based on the anesthetic information. An expected response is determined based on the demographic information and the effect site concentration. Physiological data is recorded from sensors mounted to a patient, and a depth of anesthesia is determined based on physiological data. An actual response of the patient is then determined based on the depth of anesthesia and the effect site concentration. Finally, a drug sensitivity index is determined for the patient by comparing the expected response to the actual response.

Abstract: A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.