Staple driver for articulating surgical stapler

An articulating surgical instrument is provided including a handle, an articulating portion extending distally of the handle and an end effector positioned on a distal end of the articulating portion. A flexible drive band is provided for movement through the articulating portion and end effector. The flexible drive band includes a first portion having a first height and the second portion having a second height greater than the first height. The difference in heights being sufficient to eject staples from a body portion of the end effector into an anvil member of the end effector. An actuation mechanism is provided for drawing the flexible drive band through the articulating surgical instrument.

Circular stapler buttress

A buttress for use with circular surgical staplers that does not require adhesive to securely fasten the buttress to the stapler. Following cutting and stapling by the circular stapler, the buttress has an adaptive opening through its central region with a diameter smaller than the outer diameter of the stapler anvil. Because of relief features built into the buttress, the stapler anvil may be pulled through the buttress material without causing permanent alteration to the buttress. These relief features may be provided regardless of whether the buttress is made of inelastic or elastic materials. The buttress is generally circular in shape with an outer diameter sized to coincide with the outer diameter of the stapler body staple compression surface and the outer diameter of the anvil compression surface of a circular stapler with which it is used. Prior to surgical use, the buttress is attached to the stapler with disruptable portions extending from outer perimetal areas of the buttress.

Signal processing for continuous analyte sensor

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

Tamper respondent system

A tamper respondent system having: a physical volume containing an electronic device to be protected; an at least partially conductive surface proximate to the electronic device; and a tamper respondent sensor over the electronic device (the sensor comprising: a flexible, dielectric substrate; conductive traces on the substrate; a porous insulating layer having pores over the conductive traces; and adhesive within said pores of said porous insulating layer), wherein the adhesive is in contact with both the substrate and the at least partially conductive surface through the porous insulating layer.

Motor controller having a multifunction port

In one aspect, a control circuit to control a speed of a motor includes a control logic circuit connected to a multifunction port. The control logic circuit is configured to receive a control signal provided at the multifunction port and to provide response signals based on the control signal to place the motor in at least two of a sleep mode, a brake mode and a pulse-width modulation (PWM) mode. The motor control circuit also includes an H-bridge circuit configured to control the motor based on the response signals.

Signal processing for continuous analyte sensor

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

Signal processing for continuous analyte sensor

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

ORGANOMETALLIC COMPLEX AND ORGANIC LIGHT-EMITTING ELEMENT USING SAME

An organometallic complex and an organic light-emitting element containing the complex which has a very high efficiency, a high luminance, and durability. The organic light-emitting element has an anode, a cathode, and a layer including an organic compound sandwiched between the anode and cathode. The layer containing the organic compound includes at least one organometallic complex represented by General Formula [I] below.