Systems, devices, and methods for electrically stimulating peripheral nerve(s) to treat various disorders are disclosed, as well as signal processing systems and methods for enhancing diagnostic and therapeutic protocols relating to the same

Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score.

A system for detecting an anomalous event in a person includes a body in contact with a skin surface of a person; a heat source for heating the skin surface to a target temperature; a skin temperature sensor for measuring a temperature of the skin surface in contact with the heat source; a blood volume sensor for measuring a blood volume of the skin surface; and a hardware processor communicatively coupled to the heat source, the blood volume sensor, the skin temperature sensor, and an environmental temperature sensor. The hardware processor is configured to receive a baseline blood volume signal, output a heating signal to the heat source to initiate a heating cycle, receive a second blood volume signal from the blood volume sensor, compare the second blood volume signal to the baseline blood volume signal, and determine whether an anomalous biologic event has occurred.

A multimodal data acquisition and communication system and method for distributed management of in vivo exposure (IVE) therapy. An exemplary system, method, and apparatus according to certain aspects of the present disclosure may include a patient interface comprising (a) one or more sensors configured to collect quantitative (e.g., physiological data) and qualitative data (e.g., video/audio data) from a patient user during an IVE therapy session, and (b) a mobile computing device, such as a smartphone, comprising a mobile software application configured to establish a data transfer interface with the one or more sensors and provide a graphical user interface to the patient user. The mobile computing device may be communicatively engaged with a cloud-based server over a wireless communications network to enable real-time collection, communication, storage and analysis of IVE data and bi-directional audio/video communication with at least one clinician client device.

An external medical device includes monitoring circuitry configured to monitor a cardiac condition of a patient using the external medical device; and a controller configured to: receive at least one of patient input and non-patient user input of a patient's ability; determine a patient interaction mode of the external medical device based on the at least one of the patient input and the non-patient user input; and adapt the patient interaction mode of the external medical device over time based on the at least one of the patient input and the non-patient user input.

A handheld tool includes a handle; an implement mount configured to detachably accept and to rigidly hold a user-assistive implement; an actuator assembly mounted to the handle to physically manipulate the implement mount relative to the handle; a first sensor disposed to sense an orientation of the handle; a second sensor disposed to sense an orientation of the user-assistive implement; a controller disposed in or on the handle and coupled to the actuator assembly and the first and second sensors; and memory coupled to the controller. The memory stores instructions for identifying a type of the user-assistive implement attached to the implement mount, selecting a behavior routine based upon the type of the user-assistive implement identified, and manipulating the user-assistive implement relative to the handle according to the behavior routine to aid performance of a task with the handheld tool.

A portable device (1) for quantifying movements of pronation and/or supination of a person, and intended to be used when the person has the elbow on a horizontal support, comprising: a solid armature (2) with: means for attaching (4), configured to secure one hand of the person in the device (1); a central pivot element (5) intended to be in contact with the horizontal support, during the angular oscillations of the hand, between two opposed identical “first block angles” relative to a vertical position called “neutral position”, the “first block angles” defining a “small amplitude”, first means for blocking (8) the movement of pronation and the movement of supination of the elbow, at the two “first block angles”; second means for blocking (9) the movement of pronation and the movement of supination, at two identical opposed “second block angles” relative to the neutral position, between the solid armature (2) relative to the horizontal support, the “second block angles” defining a “large amplitude” greater than the “small amplitude”; an IMU (3) able to measure movement data.

A system and method for scoring movement disorder symptoms comprises a movement measurement data acquisition system and processing comprising kinematic feature extraction and an algorithm trained using Unified Parkinson's Disease Rating Scale (UPDRS) scores from skilled clinicians. The movement data acquisition system, or “movement measuring apparatus,” may comprise sensors such as accelerometers or gyroscopes or may utilize motion capture and/or machine vision technology or various other methods to measure tremor, bradykinesia, dyskinesia, or other movement disorders in a subject afflicted with Parkinson's disease, essential tremor or the like. The method outputs, and system displays, a score that uses the same scale as the UPDRS but has greater resolution and lower variability. In some embodiments, the system is used to diagnose and/or treat the patient by providing recommendations for treatment and/or by supplying treatment in the form of pharmaceutical drugs and/or electric stimulus as part of a closed-loop system.

In some embodiments, apparatuses and methods are provided herein useful to digitally measuring, or generating biomarkers. In some embodiments, a system for generating a movement-based biomarker comprises an imaging device configured to generate image data associated with a user, a control system communicatively coupled to the imaging device, the control system configured to identify, in the first image, a feature of the user, determine, in the first image, a first location parameter associated with the feature of the user, identify, in the second image, the feature of the user, determine, in the second image, a second location parameter associated with the feature of the user, calculate, based on the first location parameter associated with the feature of the user and the second location parameter associated with the feature of the user, movement of the feature of the user, and generate, using the movement of the feature of the user, the movement-based biomarker.

A multimodal data acquisition and communication system and method for distributed management of transdiagnostic behavioral therapy (TBT). An exemplary system, method, and apparatus according to certain aspects of the present disclosure may include a patient interface comprising (a) one or more sensors configured to collect quantitative (e.g., physiological data) and qualitative data (e.g., video/audio data) from a patient user during a TBT session, and (b) a mobile computing device, such as a smartphone, comprising a mobile software application configured to establish a data transfer interface with the one or more sensors and provide a graphical user interface to the patient user. The mobile computing device may be communicatively engaged with a cloud-based server over a wireless communications network to enable real-time collection, communication, storage and analysis of TBT data and bi-directional audio/video communication with at least one clinician client device.