Abstract: 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.

Abstract: Methods, systems, and computer program products are provided for measuring and analyzing muscle flexibility to infer a change in gait. Muscle flexibility measurements are obtained using at least one sensor of a device attached to a body of a user. A flexibility quotient is calculated based on the obtained muscle flexibility measurements, user information, a type of activity, a workout duration and baseline data. A change in flexibility based on the calculated flexibility quotient and a baseline flexibility quotient is determined. A change in gait is inferred based on the determined change in flexibility and is reported to the user.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: A method includes obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from pressure sensing elements of a shoe sensor system. The method further includes obtaining three-dimensional foot data that is created by sampling, in accordance with the sampling signal, data from an accelerometer of the shoe sensor system. The method further includes correlating the foot force data and the three-dimensional foot data in accordance with the sampling signal to produce correlated foot data. The method further includes processing the correlated foot data to determine one or more of: distance traveled during a time period, stride length data, time duration, fatigue indication, injury prevention indicators, elevation tracking for the time period, running optimization, and rotational sport optimization.

Abstract: An apparatus for motion transformation according to an embodiment of the present disclosure includes a basic data input unit through which basic motion data is inputted, a pre-processing unit which acquires a parameter through pre-processing of the inputted basic motion data, a motion transformation unit which performs biomechanical observations-based gait motion transformation processing based on the pre-processed parameter and age input information, and an output unit which outputs the transformation processed motion.

Abstract: A system, apparatus and method are thereby provided for the non-invasive motion tracking to augment patient administered physical therapy via a motion tracking apparatus, a display, and a computing platform coupled to the motion tracking apparatus and the display. The computing platform serves to provide a menu driven interface to the patient, an instruction to the patient, a determination of the patient's motion or action in response to the instruction, a comparison between the instruction to the patient and the determination of the patient's motion or action, and to provide a feedback display to the patient. In certain embodiments, the system, apparatus and methods further includes a social networking link. In yet other embodiments, a live telemedicine link is provided, and optionally triggered based upon detection of an alert or alarm condition. In yet other embodiments, rehab tools are utilized.

Abstract: A pulse measuring device includes: an image acquisition unit that acquires plural pieces of time-series photographed image data obtained by photographing a living body; an image processor that generates plural pieces of transformed image data corresponding to the plural pieces of photographed image data by performing a multiple resolution analysis on each of the plural pieces of photographed image data a plurality of times, each of the plural pieces of photographed image data being decomposed into a high-resolution component and a low-resolution component on the multiple resolution analysis; and a pulse measuring unit that calculates a feature quantity indicating luminance of a predetermined area in each of the plural pieces of transformed image data, calculates a variation period of the feature quantity by analyzing time-series data of the feature quantity, and calculates a pulse of the living body based on the variation period of the feature quantity.

Abstract: An activity state analyzer 10 configured to analyze an activity state of a cyclist during cycling includes: a sensor unit (21 to 26, 18) configured to acquire sensor data from a plurality of types of sensors including an acceleration sensor 21 and a gyroscope sensor 22 that are attached to a lower back of the cyclist, and a CPU 11 configured to analyze an activity state of the cyclist during cycling based on a detection output from the plurality of types of sensors of the sensor unit (21 to 26, 18).

Abstract: A device is configured to communicate a grade of joint displacement to a clinician during a mobilization procedure on a human or animal joint. The device includes two portions that move relative to one another, when both are engaged to a stable and moveable bone at a joint, and movement of one portion to the other is measured and shown on a display.

Abstract: The present invention discloses a system and method for motion recognition and control of a prosthetic device. The system of the present invention uses a movement detector for detecting dimensional motion of a non-disabled physical appendage and generating motion information based on this detecting. The system further includes a microcontroller adapted to be connected to the movement detector for receiving and processing the motion information transmitted from the one or more movement detectors. The system controls a prosthetic device which has actuators that are configured to actuate motion of the prosthetic device based on the processing of the motion information.

Abstract: A number of improvements are provided relating to computer aided surgery. The improvement relates to both the methods used during computer aided surgery and the devices used during such procedures. Some of the improvement relate to controlling the selection of which data to display during a procedure and/or how the data is displayed to aid the surgeon. Other improvements relate to the structure of the tools used during a procedure and how the tools can be controlled automatically to improve the efficiency of the procedure. Still other improvements relate to methods of providing feedback during a procedure to improve either the efficiency or quality, or both, for a procedure.

Abstract: This disclosure relates to a system for monitoring pasture intake by a grazing animal species. The system comprises a sensor spatially associated with a body part of the animal to generate movement data indicative of movement of the body part of the animal associated with multiple points in time and a processing server. The processing server comprises a data interface to receive the movement data and a processor that is configured to evaluate the received movement data to determine for each of the multiple points in time an indication of a behaviour of the animal at that point in time. Based on the indication the processor determines a time value indicative of a time the behaviour was shown by the animal, and determines a pasture intake value based on the time value.

Abstract: A walking analysis method includes measuring impacts due to floor landing occurring during walking; identifying an impact section before floor landing, a free fall section, and an impact peak section by floor landing in an impact graph over time; analyzing at least one impact-related parameter for the impact section before floor landing, the free fall section, and the impact peak section by floor landing; and determining a walking-related accident type according to a result of analyzing the at least one impact-related parameter. Accordingly, by classifying and detecting a variety of accidents that may actually occur, the main walking characteristics that are dangerous in the actual accident can be extracted.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: According to an aspect, there is provided a computer-implemented method of monitoring a subject. The method comprises, following detection of a first fall by the subject and a revocation of a fall alert for the first fall due to detecting the subject has stood up after the first fall, obtaining first measurements of movement of the subject; determining a first value of at least one mobility characteristic of the subject from the obtained first movement measurements; determining if the mobility of the subject has degraded after the first fall based on the first value of the at least one mobility characteristic and a second value of the at least one mobility characteristic, wherein the second value is determined from second movement measurements obtained prior to the first fall; and in response to determining that the mobility of the subject has degraded after the first fall, performing a fall alert action in respect of the first fall. A corresponding apparatus and a computer program product are also provided.

Abstract: An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.

Abstract: The invention concerns fetal movement monitoring apparatus having a deflection sensor device arranged to be applied to a mother's abdomen for detection of abdominal deflections indicative of fetal movements and to output a signal comprising one or more record of said abdominal deflections. A processor under the control of machine readable instructions is arranged to process the signal output from the deflection sensor device and to output a log of fetal movement over time. The processor is arranged to receive one or more further input indicative of maternal or fetal movement or wellbeing, for example from a second sensor device by which a user can input a record of perceived fetal movements. The processor may compare the output of the first sensor device and the user's input via the second sensor device and output a log of fetal movements over time based upon said comparison.

Abstract: A method for intraoperatively measuring joint contact mechanics of a patient's joint is provided. The method includes inserting a sensor between first and second bones of a joint. Then a predetermined force is applied to one of the first and second bones. Afterwards, contact mechanics such as, contact stresses, contact areas and/or forces are measured between the first and second bones in response to the applied predetermined force.

Abstract: A system for monitoring a room of a patient includes a server and a monitoring device. The monitoring device is configured to obtain at a first time a first image of at least a part of the room; identify a first state of the patient based on first image; obtain at a second time a second image of the at least the part of the room; identify a second state of the patient based on the second image; and, in response to the first state being different from the second state, sending a first notification to the server. The server is configured to, in response to receiving the first notification, set a monitored condition of the patient to a first value.

Abstract: This invention is smart clothing which enables human motion capture through combined analysis of data from inertial sensors, strain (or bend) sensors, and electromyographic (EMG) sensors. In a preferred embodiment, a first inertial motion sensor is located proximal to the body joint, a second inertial sensor is located distal to the body joint, two strain sensors span the body joint in different configurations, and an electromyographic (EMG) sensor collects data concerning electromagnetic energy from the muscles which move the body joint.

Abstract: The present development is a device for monitoring uterine activity and sending an alert signal through a wireless communication means when uterine activity significantly changes relative to a preset standard. The device, which comprises at least one sensor, is intended to continuously monitor a prescribed activity, such as uterine contractions. The information gathered by the sensors is fed to a computer application for comparison to preset values and, if the gathered information falls outside of the range of the preset values, feeds a signal to a second application designed to send out notifications to preprogrammed devices indicating the physical location of the source data, or where the pregnant patient is located.

Abstract: The present invention relates to a device (1) for determining positioning data for an X-ray image acquisition device (2) on a mobile patient support unit (3), the device comprising: a processing unit (10); and a status detector (11); wherein the status detector (11) is configured to acquire geometry data and type data of a mobile patient support unit (3) and of an X-ray image acquisition device (2) on the mobile patient support unit (3), and to transmit a status signal comprising the geometry data and the type data; wherein the processing unit (10) is configured to receive the status signal and data about region of interest position on the patient; and wherein, based on the status signal and the region of interest position, the processing unit (10) is configured to determine positioning and alignment data for an X-ray image acquisition device (2) on the mobile patient support unit (3), and to provide an image acquisition protocol for the X-ray image acquisition device (2).

Abstract: The invention provides a wearable multi-modal body sensor and network for continuous health monitoring, selective recording, and transmission of various body vitals such as BPM, ECG, EEG, temperature, blood pressure, O2 saturation, body balance, etc. The selective recording can be timed and centered on the occurrence of clinically significant events detected by the monitoring system, A continuous log of all body vitals can also be stored in the system according to various scenarios. In certain embodiments, the system includes a patch wearable by the individual and including a number of sensors, A sensor module is releasably secured to the patch in connection with the sensors in order to receive the signals obtained by the sensors for ECG and EEG analysis, for example.

Abstract: A computer system enhances guidance information on a display, allowing a user position and orientation in 3D space to be achieved. In some embodiments, the guidance is visual, for example the blurring of display objects not at the desired position. In some embodiments, the guidance is aural, for example placing a sound moving to the desired position. In some embodiments, the guidance is tactile, for example using haptic pads attached to a head-mounted display to push the user in a specified direction. The system may be used to guide the user spatially for the performing of a task, to help the user avoid sensitive components, or to guide the user to position a sensor, such as a camera, in an optimal direction for taking measurements. The system includes head positioning, hand positioning and gaze positioning techniques.

Abstract: Apparatus comprises an acceleration unit, a processing unit and a display for continuous real time monitoring. The acceleration unit is attached or held by a body region of a mammal comprises a 3D-acceleration sensor and a wireless transmitter for transmitting a measurement signal provided by the acceleration sensor continuously. The processing unit processes the measurement signal continuously in a band of a medically defined movement of the body region, forms a movement index on the basis of a norm of values of acceleration in a first time window, and forms a value(s) of amplitude, and/or a value of frequency of the spatial movement of the body region on the basis of a power spectral density in second time window of a known duration. The display displays said movement index with said value of amplitude, and/or said value of frequency of the spatial movement continuously in real time.

Abstract: A mobile user borne brain activity data and surrounding environment data correlation system comprising a brain activity sensing subsystem, a recording subsystem, a measurement computer subsystem, a user sensing subsystem, a surrounding environment sensing subsystem, a correlation subsystem, a user portable electronic device, a non-transitory computer readable medium, and a computer processing device. The mobile user borne system collects and records brain activity data and surrounding environment data and statistically correlates and processes the data for communicating the data into a recipient biological, mechatronic, or bio-mechatronic system.

Abstract: A concept for personalizing a fall detection algorithm to a particular subject. Sensor data, responsive to a fall of a subject, is obtained at the fall detector, along with feedback information responsive to a confirmation of whether the subject has fallen and/or whether the subject had not fallen. Parts of the sensor data, and corresponding portions of the feedback information, are transmitted to an external device, which generate update information for the fall detection algorithm. The update information is then used by the fall detector to update, and thereby personalize, the fall detection algorithm.

Abstract: A knee joint dynamic evaluation method for diagnosing human joint diseases by tracking motions of the knee joint includes constructing an evaluation model including a first angular difference threshold ?1, a second angular difference threshold ?2, and an anterior-posterior displacement difference threshold ?; synchronously collecting a single set of three-dimensional and six-degree-of-freedom movement data of a left knee joint and that of a right knee joint with devices; comparing the three-dimensional and six-degree-of-freedom movement data between the left and right knee joints with a data analyzing device, and calculating differences of the flexion and extension angles, the medial and lateral tilt angles, the medial and lateral rotation angles, and the anterior-posterior displacement movement values of the two sets of movement data; inputting the differences into the evaluation model to obtain the corresponding grading system, which will output the first, second, third, or fourth evaluation level.

Abstract: The present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

Abstract: The present invention relates to methods for remotely tuning treatment parameters in movement disorder therapy systems where the subject and clinician are located remotely from each other. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

Abstract: A method, a computer-readable storage device, and an apparatus for predicting a fall are disclosed. In one example, a method performed by a processor deployed in a communications network includes collecting gait information associated with a user from a first wearable device worn by the user, collecting electroencephalography information associated with the user from a second wearable device worn by the user, calculating a likelihood that the user will fall within a threshold period of time from a current time, wherein the calculating is based on a combination of the gait information and the electroencephalography information; and sending an instruction to an endpoint device associated with the user when the likelihood exceeds a predefined threshold, wherein the instruction instructs the endpoint device to generate an alert alerting the user that a fall is likely.

Abstract: A system and method may be used to assess range of motion of a target body part. A method may include comparing reference range of motion capabilities of a body part that mirrors or matches the target body part (e.g., from a camera or a database) to captured range of motion capabilities of the target body part. The comparison may result in an assessment, a virtual animation, a virtual component, or other output, such as to be displayed on a display or an augmented reality display.

Abstract: A neurocognitive training system for improving visual motor responses is disclosed herein. The neurocognitive training system includes a user input device configured to output an input signal based upon an input response by the user; a visual display device having an output screen, the visual display device configured to display one or more visual objects on the output screen; and a data processing device, the data processing device operatively coupled to the user input device and the visual display device. The data processing device being programmed to generate and display one or more visual objects on the output screen; receive an input signal from the user input device based upon an input response by the user; and determine, based upon the input signal received from the user input device, whether the user performed a correct action with respect to the one or more visual objects displayed on the output screen.

Abstract: A robotic exoskeleton comprising a back portion providing at least two degrees of freedom, two shoulder portions, each shoulder portion providing at least five degrees of freedom, two elbow portions, each elbow portion providing at least one degree of freedom, and two forearm portions, each forearm portion providing at least one degree of freedom. Associated robotic forearm joints and robotic shoulder joints are also addressed.

Abstract: A method for controlling the standing-phase damping of an artificial knee joint comprising an upper part and a lower part which are secured together in a pivotal manner about a pivot axis, a resistance unit which is arranged between the upper part and the lower part and has an adjustment device via which the damping resistance can be modified, and a control unit which is coupled to the adjustment device and which is connected to at least one sensor. The adjustment is carried out on the basis of sensor data, and the knee angle is detected by the at least one sensor during the standing-phase inflexion up to the terminal standing phase. The flexion damping is increased to a level above an initial flexion damping in order to prevent a further inflexion upon reaching a specified maximum knee angle.

Abstract: A system that uses information from multiple players involved in an impact to improve the measurement of impact g-force by collaborative analysis and hence improve the prediction of the risk of concussion for an athlete, which includes a wearable device with an impact sensor and an application processor, and a smartphone mobile application. The wearable device is mounted to the player's helmet or other locations where the impact force to the head is measured. The wearable device wirelessly communicates with a smartphone, where the measured g-force, including magnitude and direction, from the wearable device, is obtained and an iterative optimization algorithm is run to make the correction and/or optimization of the measurement based on the law of physics. The said iterative optimization algorithm takes into the consideration of the data from all players involved in the impact, and minimize the error based on the law of physics.

Abstract: There is provided a method of estimating the fall risk of a user, the method comprising analyzing measurements of the acceleration of the user to determine if the user has performed a sit-to-stand transfer; identifying the peak vertical acceleration of the user during the sit-to-stand transfer from the measurements of the acceleration of the user; and estimating a fall risk for the user from the identified peak vertical acceleration.

Abstract: An apparatus includes a glove for a human hand, and a sensing network coupled to the glove. The sensing network includes a strand of compliant material with a center axis and a multi-region angular displacement sensor connected to the strand. The multi-region angular displacement sensor includes a first angular displacement unit in a first sense region of the stand. The first angular displacement unit is used to determine a first angular displacement in response to deformation of the first angular displacement unit by a first joint of the human hand. The multi-region angular displacement sensor also includes a second angular displacement unit disposed in a second sense region of the strand. The second angular displacement unit is used to determine a second angular displacement in response to deformation of the second angular displacement unit by a second joint of the human hand.

Abstract: The present disclosure provides a circadian illuminance measuring apparatus including: a circadian lambda filter configured to pass external light according to a circadian sensitivity curve; a light sensor configured to sense the external light has passed through the circadian lambda filter, convert the external light into an analog signal, and output the analog signal; and a circadian illuminance calculator configured to convert the analog signal into a digital signal to calculate circadian illuminance of the external light.

Abstract: A method and program product includes assigning a first location of at least one embedded device. The embedded device includes at least one sensor and is associated with a one joint capable of movement. The first location is captured by the sensor. A second location of the at least one embedded device is assigned. The second location being captured by observation of the embedded device by at least one external sensor. A pose correspondence between the first location and the second location is established using a model of the joint. The sensor is calibrated by tracking a change in a pose captured by the external sensor and a change in a pose captured by the one sensor as the joint moves.

Abstract: Systems, apparatus, and method of monitoring a position of a joint. An inertial monitoring unit is configured to be coupled to a portion of a patient, such as a thigh. Another inertial monitoring unit is configured to be attached to another portion of the patient, such as a shank, that is connected to the other portion by a joint, such as a knee. The inertial monitoring units detect motion of their respective portions of the patient and transmit data indicative of this motion. These transmissions may be received by a computer and used to determine an orientation of the joint. The inertial monitoring units may also be coupled to vibration detection units and/or ultrasound modules that provide additional data regarding a condition of the joint.

Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for integrating a body joint rehabilitation regimen with a wearable movement capture device operable in conjunction with a cloud based computing environment. For instance, a wearable apparatus for monitoring activity of a body joint such as knee or elbow for monitoring rehabilitation and recovery after surgical procedures and after injury to the joint is disclosed. Such a wearable apparatus includes a wearable harness in which a first portion of the wearable harness includes an proximal strap to be positioned proximal to the body joint and in which a second portion of the wearable harness includes a distal strap to be positioned distal to the body joint, in which the wearable harness is positionable upon a patient's body at the body joint without occluding a surgical site of the patient.

Abstract: A thermal control unit supplies temperature controlled fluid to one or more thermal pads used to control the temperature of a patient. The thermal control unit includes a fluid outlet, fluid inlet, heat exchanger, pump, and a controller. The controller receives first and second data from at least two different sources to determine if the patient is shivering or not. The two different sources may include a temperature sensor adapted to detect a temperature of the fluid, a temperature sensor adapted to detect a temperature of the patient, a tissue oxygenation sensor, a vibration/motion sensor, a thermal image sensor, an electromyograph, and/or other sensors. In some embodiments, the thermal control unit takes one or more automatic actions in response to detection of patient shivering.

Abstract: Knee adduction moment of an untethered human during gait is modulated by determining at least one feature associated with instantaneous knee adduction moment of the untethered human during a gait cycle. Feedback to be transmitted to the human is, optionally, derived from the feature, such as by comparing the at least one feature to a value, such as a target value. The feature, or feedback derived from the feature, is transmitted to the human for response by the human, thereby modulating knee adduction moment of the untethered human during the gait.

Abstract: Systems and methods of monitoring a patient. Exemplary methods include receiving sensor data associated with the patient from a plurality of sensors of a patient monitoring device and determining whether the sensor data satisfies one or more trigger conditions. For each of the trigger conditions satisfied, one or more messages are sent to at least one of the patient monitoring device and an external computing device for display thereby to at least one of the patient, a caregiver, and a support person. Satisfaction of one or more of the trigger conditions may indicate the patient has edema and/or is trending toward decompensation. The sensor data may have been collected from a heart rate sensor, an oximeter, an accelerometer, and/or a sensor configured to detect a distance around a limb of a patient. In some embodiments, the trigger conditions are provided by the patient, caregiver, and/or support person.

Abstract: A computer system enhances guidance information on a display, allowing a user position and orientation in 3D space to be achieved. In some embodiments, the guidance is visual, for example the blurring of display objects not at the desired position. In some embodiments, the guidance is aural, for example placing a sound moving to the desired position. In some embodiments, the guidance is tactile, for example using haptic pads attached to a head-mounted display to push the user in a specified direction. The system may be used to guide the user spatially for the performing of a task, to help the user avoid sensitive components, or to guide the user to position a sensor, such as a camera, in an optimal direction for taking measurements. The system includes head positioning, hand positioning and gaze positioning techniques.

Abstract: A method for guiding a procedure is provided. A volumetric map of an interior portion of a body of a subject is presented, and, during the procedure, in response to movements of a sensor with respect to the portion, the presented volumetric map is updated, by changing a manner in which the presented volumetric map shows areas of the portion from which material was removed by the procedure. Other embodiments are also described.

Abstract: The present invention relates to distinguishing different sedentary states of a subject. A sedentary state can refer to standing, sitting and/or lying. An apparatus for determining a sedentary state of a subject is presented that comprises a sensor interface for obtaining a movement signal indicative of a movement of the subject; an extraction unit for extracting a signal feature indicative of postural control oscillations of the subject from the movement signal, wherein the signal feature indicative of postural control oscillations is indicative of center of mass motion oscillations for preventing the subject from falling; and a classifier for classifying a sedentary state of the subject based on the signal feature indicative of postural control oscillations of the subject. Further, a corresponding method, computer program and system are presented.

Abstract: An orthopedic surgical device and method of using thereof is provided. The orthopedic surgical device includes a sensor portion including a conformable pad sized for positioning within a knee joint of a patient. The pad includes a femoral side and a tibial side and a sensor array disposed between the femoral side and the tibial side configured to generate a signal indicative of the force within the knee joint. The tibial side includes an adhesive coating. The orthopedic surgical device also includes a display portion including a display and a controller. The controller is configured to receive the signal from the sensor array and to control the display to provide a visual indication of the force within the knee joint.

Abstract: The present invention relates to methods for remotely and intelligently tuning movement disorder of therapy systems. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely and intelligently or automatically tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning intelligently, automatically and remotely, allowing for home monitoring of subjects.