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3-D Range of Motion Evaluation

Kinetisense 3D Range of Motion

Kinetisense 3D Range of Motion is the first full body assessment system that systematically measures joint by joint. The user-friendly interface makes it the ideal tool to track and document progress. Kinetisense can analyze up to 48 different Range of Motion movements, including Knee, Hip, Spine, Elbow, Shoulders and Neck.


Kinetisense 3D Balance Assessment is an objective balance tool for concussion management and Geriatric Risk of Fall Assessment protocols. The system allows users to quantify the biomechanics of balance, before and after a suspected concussion or mTBI (traumatic brain injury) occurs. It can also be used in the Geriatric population to measure balance and how it relates to medication, weakened joints, muscles, etc. The baseline screen is a modified version of the Balance Error Scoring System (BESS) test, a postural stability protocol commonly used for concussion monitoring. Kinetisense objectifies the BESS scoring system by applying 3D motion capture and computer learning to produce a balance score.


Kinetisense 3D Posture Analysis is a marker-less software program designed to analyze and quantify posture. The system automatically locates the joint position, interprets the data, and produces a detailed 3D Posture Analysis report. Baseline posture assessments can be done to identify asymmetries and demonstrate the impact clinical treatment has on postural outcomes. This module is an efficient and objective way to analyze the frontal, sagittal, and transverse planes in the body.


Kinetisense 3D Functional Movement analyzes a patient’s functional capacity for work and leisure-related activities. Evaluation captures extension, flexion, and body rotation. Applications include functional capacity evaluation, gait analysis, bike fitting, and sport specific. The markerless software program is designed to give objective data on functional movements to show asymmetries in the body. The Kinetisense software automatically locks onto joints and takes a video of a patient performing movements such as an overhead squat and gives objective data on how the movement is performed.