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Implantable medical device for treating cardiac mechanical dysfunction by electrical stimulation

An implantable stimulator and monitor measures a group of heart failure parameters indicative of the state of heart failure employing EGM signals, measures of blood pressure including absolute pressure P, developed pressure (DP=systolic P-diastolic P), and/or dP/dt, and measures of heart chamber volume (V) over one or more cardiac cycles. These parameters include: (1) relaxation or contraction time constant tau (.tau.); (2) mechanical restitution (MR), i.e., the mechanical response of a heart chamber to premature stimuli applied to the heart chamber; (3) recirculation fraction (RF), i.e., the rate of decay of PESP effects over a series of heart cycles; and (4) end systolic elastance (E.sub.ES), i.e., the ratios of end systolic blood pressure P to volume V. These heart failure parameters are determined periodically regardless of patient posture and activity level. The physician can determine whether a particular therapy is appropriate, prescribe the therapy for a period of time while again accumulating the stored patient data for a later review and assessment to determine whether the applied therapy is beneficial or not, thereby enabling periodic changes in therapy, if appropriate. Drug therapies and electrical stimulation therapies, including PESP stimulation, and pacing therapies including single chamber, dual chamber and multi-chamber (bi-atrial and/or bi-ventricular) pacing can be delivered. In patient's prone to malignant tachyarrhythmias, the assessment of heart failure state can be taken into account in setting parameters of detection or classification of tachyarrhythmias and the therapies that are delivered.
Owner:MEDTRONIC INC

Solid-state imaging apparatus and signal processing method for transforming image signals output from a honeycomb arrangement to high quality video signals

A solid-state imaging apparatus includes an image pick-up section in which photosensitive devices are arranged in, e.g., a honeycomb G square lattice, RB full-checker pattern due to shifted pixels. Regions void of the photosensitive devices are assumed to be virtual photosensitive devices. A signal processing section generates data for the virtual photosensitive devices by using the data of surrounding photosensitive devices while attaching importance to accurate color reproduction and horizontal and / or vertical resolution. As a result, the number of pixel data are increased in a square lattice arrangement. Therefore, high quality image signals are readily achievable with a smaller number of photosensitive devices than conventional with a conventional apparatus. Interpolation can be executed with the high quality signals to the limit of resolution with an adequate circuit scale. The honeycomb arrangement guarantees the required size of the individual pixel and thereby the sensitivity of the entire apparatus while increasing yield on a production line. False colors particular to a single photosensitive portion can be reduced by, e.g., uniform interpolation. Particularly, when a digital camera is constructed by using an imaging apparatus including optics operable with a silver halide sensitive type of film, false colors can be reduced without resorting to an optical low pass filter.
Owner:FUJIFILM CORP

Method and apparatus of a self-configured, model-based adaptive, predictive controller for multi-zone regulation systems

A control system simultaneously controls a multi-zone process with a self-adaptive model predictive controller (MPC), such as temperature control within a plastic injection molding system. The controller is initialized with basic system information. A pre-identification procedure determines a suggested system sampling rate, delays or “dead times” for each zone and initial system model matrix coefficients necessary for operation of the control predictions. The recursive least squares based system model update, control variable predictions and calculations of the control horizon values are preferably executed in real time by using matrix calculation basic functions implemented and optimized for being used in a S7 environment by a Siemens PLC. The number of predictions and the horizon of the control steps required to achieve the setpoint are significantly high to achieve smooth and robust control. Several matrix calculations, including an inverse matrix procedure performed at each sample pulse and for each individual zone determine the MPC gain matrices needed to bring the system with minimum control effort and variations to the final setpoint. Corrective signals, based on the predictive model and the minimization criteria explained above, are issued to adjust system heating/cooling outputs at the next sample time occurrence, so as to bring the system to the desired set point. The process is repeated continuously at each sample pulse.
Owner:SIEMENS IND INC
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