A combination wound drain and substance-delivery device includes a drain portion and a substance delivery portion. The drain portion and the substance-delivery portion include interior cavities that are separated from one another to prevent fluids and/or materials disposed within the interior cavities from mixing together. Each of the interior cavities includes one or more perforations that allow fluid communication between a wound site and each of the interior cavities. The device further includes a tip coupled to the drain portion that facilitates removal of collected waste from the drain portion. The device may include an attachment mechanism that helps secure the device when placed within a wound site.

The disclosed subject matter includes a structure and method for making a dual-lumen needle from single lumen needles to take advantage of the much higher economies of scale. Variations include two needles joined by a flow junction and one needle and a single cannula joined by a flow junction. In addition disclosed are methods of using a dual-lumen needle in a two needle access for blood treatment is disclosed in which at least venous flow is provided through a dual-lumen needle with arterial flow just sufficient to provide air infiltration detection in the event of withdrawal of the dual-lumen needle.

Disclosed are examples for a system for drug delivery and components thereof. The system may include an on-body pump device and a secondary unit. The on-body pump device may include a reservoir and a fluid pathway. The reservoir may be configured to hold a liquid drug. The secondary unit may be removably coupled to the on-body pump device. The secondary unit may be configured to receive a prefilled cartridge containing a liquid drug, expel the liquid drug from the prefilled cartridge, and deliver the liquid drug to the reservoir of the on-body pump device via the fluid pathway. Examples of variations to the secondary unit are also disclosed.

Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.

Fluid delivery devices, systems and methods. The fluid delivery devices may be used to delivery fluid (e.g., insulin) to a user. The devices may have one or more inlets, and may be configured for use with an injection device, such as a syringe, and/or with a pump.

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.

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.

Methods and apparatus are provided for treating tissue with apparatus that includes an priming portion for initiating a healing response in the tissue to be treated, and which delivers a bioactive agent during or after preparing tissue adjacent the apparatus, as by generating or aiding a healing, regeneration or repair response in the tissue. The priming portion may comprise an abrasive surface, fluid ejection ports, and/or stimulation by electrical, thermal, or light energy.

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.

Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.