In one example, a system for measuring body movement in a movement disorder disease is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.

The present invention addresses the problem of limiting power consumption and radio wave interference when assessing the movements of multiple sites of a living body. The present invention is a movement function assessment system provided with: a movement function measurement apparatus for calculating movement data on the basis of the relative distances of pairs of transmission coils and reception coils attached to movable portions of a living body; and an assessment apparatus for assessing the movement function of the living body on the basis of the movement data received from the movement function measurement apparatus. A control unit of the movement function measurement apparatus performs the switching of the multiple transmission coils by a switching unit (1) and the switching of the multiple reception coils by a switching unit (2) so that the paired transmission coils and reception coils are operated sequentially.

A health monitoring system that passively monitors a person for Parkinsonian gait is disclosed. The health monitoring system includes a plurality of user devices. The user devices are typically located on the user due to the user devices performing a primary functionality associated with the user devices. The user devices may perform a secondary function of passively monitoring the person for Parkinsonian gait based on a size of an area formed between the user devices while located on the user's body. The size of the area and how the size of the area changes over time can be used as a heuristic for early detection of Parkinsonian gait.

There is provided a system, system architecture, and method for neural cross-frequency coupling analysis. In an embodiment, the method includes: receiving neural signals; extracting a phase frequency signal and an amplitude frequency envelope signal from each of the neural signals; determining a first measure of cross-frequency coupling comprising a mean vector length modulation index (MVL-MI), determining the MVL-MI comprises determining a magnitude of an averaged complex-valued time series from a plurality of samples of the neural signals to extract a phase-amplitude coupling measure, each sample associated with a respective one of the amplitude frequency envelope signals and the phase frequency signals; and outputting at least one measure of the cross-frequency coupling.

In one aspect, forming a stacked strain gauge sensor with increased electrical resistance includes: forming multiple sensor layers, wherein the sensor layers include strain gauge sensor wires on substrates; forming holes in the substrates; stacking the sensor layers, one on top of another, to form a stack with the holes aligned in one or more locations forming through holes in the stack; and forming interconnects in the holes in one or more other locations interconnecting the strain gauges sensor wires between adjacent sensor layers to form a stacked strain gauge sensor. A stacked strain gauge sensor and method of use thereof are also provided.

The present disclosure relates to the field of artificial intelligence (AI) technologies, and provides an auxiliary photographing device for dyskinesia analysis, and a control method and apparatus for an auxiliary photographing device for dyskinesia analysis. The method includes controlling a camera assembly of the auxiliary photographing device at a first position to perform photographing, to obtain a first image, the first image comprising a target body part of a patient having dyskinesia; determining, in the first image, a position of a target region corresponding to the target body part; controlling an orientational movement of a mechanical arm of the auxiliary photographing device according to the position of the target region, to adjust the camera assembly to a second position; and controlling the camera assembly at the second position to perform photographing, to obtain a second image, the second image comprising the target body part.

Restless Leg Syndrome (RLS) or Periodic Limb Movement Disorder (PLMD) can be treated using high frequency (HF) electrostimulation. This can include selecting or receiving a subject presenting with RLS or PLMD. At least one electrostimulation electrode can be located at a location associated with at least one of, or at least one branch of, a sural nerve, a peroneal nerve, or a femoral nerve. HF electrostimulation can be delivered to the subject, which can include delivering subsensory, subthreshold, AC electrostimulation at a frequency that exceeds 500 Hz and is less than 15,000 Hz to the location to help reduce or alleviate the one or more symptoms associated with RLS or PLMD. A charge-balanced controlled-current HF electrostimulation waveform can be used.

A stimulation device includes an energy source; an electronics unit; an actuator that is coupled with the electronics unit and/or the energy source. The electronics unit includes a controller. The energy source, the electronics unit and the actuator are arranged in a housing. A fixing unit which is coupled with the housing and affixes the stimulation device on a heart or in a heart. The actuator emits electromagnetic waves for the stimulation of genetically manipulated tissue, and the controller controls the stimulation of the tissue by way of the electromagnetic waves of the actuator.

A method and a system are described, for managing an infusion therapy in the Parkinson's disease, through the analysis of the motion status of patients, wherein the motion status can be in one of the following phases: OFF phase, wherein Parkinson's symptoms, such as rigidity, tremor and bradykinesia, emerge; ON phase wherein the symptoms markedly improve; DIS phase wherein involuntary movements emerge, called dyskinesias; as detectors of the symptoms the following parameters are used: voice analysis; face analysis; tremor analysis; movement analysis; levodopa and metabolite levels of monoamines in the sub-cutaneous interstitial liquid of the patients; an algorithm being provided, which automatically modifies the infusion rate of a drug during the day, the infusion rate being computed by using the parameters as detectors.

A system and method for tuning the parameters of a therapeutic medical device comprises a movement measurement data acquisition system capable of wireless transmission; processing comprising kinematic feature extraction, a scoring algorithm trained using scores from expert clinicians, a therapeutic device parameter setting adjustment suggestion algorithm preferably trained using the parameter setting adjustment judgments of expert clinicians; and a display and/or means of updating the parameter settings of the treatment device. The invention facilitates the treatment of movement disorders including Parkinson's disease, essential tremor and the like by optimizing deep brain stimulation (DBS) parameter settings, eliminating as much as possible motor symptoms and reducing time and costs of surgical and outpatient procedures and improving patient outcomes. In preferred embodiments, the system provides recommendations for treatment which may be semi-automatically or automatically applied to update the parameter settings of a treatment device such as a DBS implant.