An improved pressure sensory threshold testing instrument comprised of a filamentous testing element (132) mounted on a head member (102) that is pivotally attached to a handle member (100) with a nonelectrical power assist pivot mechanism. The power assist pivot mechanism aids in actively biasing the head member (102) into either an open, testing position or a closed, storage position. The power assist mechanism and geometry resist accidental opening that could expose and damage the filament. The design facilitates one-handed operation with no change in grasp needed throughout the whole process of retrieval, testing, and storage. This singular grasp allows for increased ease and efficiency of the testing procedure. The configuration speeds the testing process while protecting the filament more securely in an instrument that is portable in a pocket. The design also minimizes the potentially threatening appearance of this type of medical testing device.

The present arrangement provides a system for managing diabetic foot care patients that include a communication interface for transmitting diagnostic forms to a doctor device and receiving input from the doctor device. A processor manages the transmissions and received input and a database storing the diagnostic forms and the received input, as well as pre-stored risk assessment guidelines. The system is configured to transmit the diagnostic forms to a doctor device for guiding a comprehensive foot exam, and further, to accept doctor input including at least a plurality of foot examination details and a risk pool assessment. The system compares at least a plurality of foot examination details against the pre-stored risk assessment guidelines and confirms or reject the risk pool assessment input by the doctor if the risk pool assessment is or is not congruent with requirements contained in the pre-stored risk assessment guidelines.

Systems and methods for the diagnosis of chronic pain are disclosed. An algometer comprising a pressure sensor and electrode is disclosed. The algometer may be used to measure pressure applied by a clinician at a location on a patient's body, along with EMG signals emanating from the same location of the patient. Further, a pain trigger operable by the patient may be used in coordination with the algometer. Data from the algometer and pain trigger are transmitted to a computing device and display for rendering and analysis of patient data, leading to improved diagnosis.

A pseudo-food texture presentation device includes: an enclosure body in which a granular material is enclosed; a measurer configured to measure at least one index among a temperature of an ambient environment of the enclosure body, a humidity of the ambient environment of the enclosure body, a temperature of the enclosure body, and a moisture amount on a surface of the enclosure body; and an enclosure body controller configured to control density of the granular material inside the enclosure body in accordance with the measured index.

At least partial function of a human limb is restored by surgically removing at least a portion of an injured or diseased human limb from a surgical site of an individual and transplanting a selected muscle into the remaining biological body of the individual, followed by contacting the transplanted selected muscle, or an associated nerve, with an electrode, to thereby control a device, such as a prosthetic limb, linked to the electrode. Simulating proprioceptive sensory feedback from a device includes mechanically linking at least one pair of agonist and antagonist muscles, wherein a nerve innervates each muscle, and supporting each pair with a support, whereby contraction of the agonist muscle of each pair will cause extension of the paired antagonist muscle. An electrode is implanted in a muscle of each pair and electrically connected to a motor controller of the device, thereby simulating proprioceptive sensory feedback from the device.

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.

At least partial function of a human limb is restored by surgically removing at least a portion of an injured or diseased human limb from a surgical site of an individual and transplanting a selected muscle into the remaining biological body of the individual, followed by contacting the transplanted selected muscle, or an associated nerve, with an electrode, to thereby control a device, such as a prosthetic limb, linked to the electrode. Simulating proprioceptive sensory feedback from a device includes mechanically linking at least one pair of agonist and antagonist muscles, wherein a nerve innervates each muscle, and supporting each pair with a support, whereby contraction of the agonist muscle of each pair will cause extension of the paired antagonist muscle. An electrode is implanted in a muscle of each pair and electrically connected to a motor controller of the device, thereby simulating proprioceptive sensory feedback from the device.

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.

Embodiments provide a computer implemented method of perceiving a pain intensity level and sensation, the method comprising: training, by a processor, a first machine learning model with a plurality of electronic medical records of different patients having a pain; deriving, by the processor, a second machine learning model for a particular patient from the first machine learning model, based on a medical history, all the speech, facial expressions and body language of the particular patient during each clinic visit; receiving, by the second machine learning model, new speech, new facial expressions, and new body language from the particular patient; and generating, by the second machine learning model, a pain intensity level and sensation of the particular patient based on the new speech, new facial expressions, and new body language.

An apparatus comprising: a controller configured to: receive one or more sensed signals from one or more wearable sensors, wherein a wearable sensor is for sensing a user's body and outputting a sensed signal dependent upon one or more biological processes of the user; process the one or more sensed signals and detect one or more bio signals that are determined by the one or more biological processes of the user; and process the one or more sensed signals to detect a user input signal indicative of: the user touching the user's body, and/or the user touching at least one of the wearable sensors, and/or relative movement of at least one of the wearable sensors relative to the user's body, and process the user input signal to identify a user input command.