A drug delivery device may include an Inertial Measurement Unit (IMU) is provided. The IMU may include an accelerometer, a magnetometer, or a gyroscope. Motion parameters may be detected when the drug delivery device is shipped, being prepared for activation for use, or during use. The IMU may provide data indicative of a rapid deceleration, such as when a package containing the drug delivery device is dropped, or some other physical event experienced by the drug delivery device. The drug delivery device may also include internal or external pressure sensors or a blood glucose sensor that may coordinate with the IMU to provide additional feedback regarding the status of the device or user. A controller of the drug delivery device may generate a response depending on the particular parameters being monitored or may change device operational parameters as a result of detected system events.

Medical devices, systems and methods are provided. One method involves obtaining fabrication process measurement data for a plurality of instances of a sensing element, obtaining reference output measurement data from the plurality of instances in response to a reference stimulus, determining a predictive model for a measurement output of the sensing element as a function of fabrication process measurement variables based on the relationship between the fabrication process measurement data and the reference output measurement data, generating a simulated output measurement distribution across a range of the fabrication process measurement variables using the predictive model, identifying performance thresholds for the measurement output based on the simulated output measurement distribution, obtaining output measurement data from the instance of the sensing element in response to the reference stimulus, and verifying the output measurement data satisfies the performance threshold prior to calibrating a subsequent instance of the sensing element.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

A pellet for testing distal colonic and anorectal function. In one embodiment the pellet comprises a bag comprising the exterior of the pellet wherein the bag is comprised of a polymer that is reactive with a catalyst to form a more solid-like substance. In another embodiment, the pellet may comprise one of a grapheme layer, a wavelength transducer, or a magnetically attractive element. In another embodiment the pellet may comprise a telescopic extender and further comprise a telescope bad coupled to the telescopic extender.

A method for deriving physiological parameters may include: measuring a glucose level of a subject over time; measuring a HbA1c of individual red blood cells in a sample comprising a plurality of red blood cells; deriving a measured cellular HbA1c distribution of the sample; and calculating at least one physiological parameter selected from the group consisting of (a) a red blood cell elimination constant (k.sub.age), (b) a red blood cell glycation rate constant (k.sub.gly), and/or (c) an apparent glycation constant (K) based on the measured cellular HbA1c distribution and the glucose levels of the subject over time.

A contractile tissue-based analysis device is provided, in which a strip of contractile tissue is supported by support structure. The support structure comprises a substantially planar base element, and first and second support pillars extending from said base element. An optical detection device is arranged on the side of the base element opposite to said support pillars, and is arranged to capture image data from at least one of the head portions of the support pillars. The motion of the support pillars induced by the strip of contractile tissue can thus be captured from below, i.e. through the planar base element.

Methods and systems implement a pain assessment regularizing system to autonomously observe pained expressions and physiological measurements of a patient, in order to systematically collect data inputs which may be converted to pain assessment factors. The pain assessment regularizing system, by collecting this data, may combine it with clinical appraisals of pain intensity and patient self-reporting of pain intensity, weighing each factor appropriately in a manner sensitive to the progression of a patient care program, so as to lessen confounding effects of subjective pain assessment. The pain assessment regularizing system may generate a time series of regularized pain assessment factors, and further forecast a regularized pain assessment trend. A clinician may further operate the pain assessment regularizing system to review a visualization of both the time series and the forecast, providing the clinician with rigorously sampled and analytically predicted data which cannot be derived through manual and mental efforts.

Devices, systems, and techniques for controlling delivery of therapy for diabetes are described. In one example, a system includes a wearable device configured to generate user activity data associated with an arm of a user; and one or more processors configured to: identify at least one gesture indicative of utilization of an injection device for preparation of an insulin injection based on the user activity data; based on the at least one identified gesture, generate information indicative of at least one of an amount or type of insulin dosage in the insulin injection by the injection device; compare the generated information to a criteria of a proper insulin injection; and output information indicative of whether the criteria is satisfied based on the comparison.

Systems and methods are provided for improved analyte processing with data that was captured by analyte monitors. Analyte data entries are processed with multiple child processes and the child processes pass results to a parent process. The parent process aggregates the children results to result in faster processing times. The analyte data is processed in a backend system that is linked to user computing devices with graphical user interfaces.

The present invention relates to a movement disorder monitor with high sensitivity, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately and repeatably quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and/or electromyography (EMG) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides substantially real-time remote access to data by the clinician or physician.