HASOMED RehaGait Analyzer Pro 2.0 – Gait Analysis System w/ MotionSensors, Analysis Software, MotionSensors & Foot, Leg, Thigh, Hip Holders

  • RehaGait Pro 2.0 is a comprehensive gait monitoring system designed monitor patient-s condition, determine the problem areas, assess the gait quality and identify the disorder in the limbs.
  • This gait analyser comes with 7 MotionSensors that fitted into the feet, lower legs, thighs and hip. The foot movement is measured on the basis of acceleration patterns and angular velocity.
  • The system provides detailed analysis about the functional aspects of the movement.
  • The gait monitoring unit is supplied with a RehaGait Software and Windows Tablet that records the performance quickly and easily.
  • The software has easy to navigate left-hand menu rather than multiple complex menus. It creates custom reports within minutes as per the walking.
  • This intuitive software allows you to review the data and make adjustments to the treatment program.
  • It generates report on the parameters -stride duration, stride length, cadence, number of analyzed steps, and velocity and angles.
  • The tablet displays the kinematics of each step taken for parameters such as foot height, ground clearance, circumduction, velocity and acceleration.
  • Gait Analyzer pro uses 7 wireless MotionSensors to detect the changes in the motion.
  • Each sensor contains a three-axis accelerometer that records linear (straight) acceleration, a three-axis gyroscope for recording the angular velocity, and a three-axis magnetometer for recording the earth-s magnetic field.
  • These 7 motion sensors record spatio-temporal parameters during the walk. They use inertia of the mass to detect the changes in the motion.
  • This gait analysing system reduces the hassle of visiting a gait lab. This portable gait equipment can be used in a clinical set up or on a treadmill.
  • The system is supplied with:
    • 1 Analysis Software for MS Windows
    • 7 MotionSensors (Version 2019)
    • 1 Windows Tablet including protective cover
    • 2 Foot Holders (left/right, size 34-48/EU/Type 2.0)
    • 2 lower leg holders
    • 2 thigh holders
    • 1 hip holder
    • 1 Battery Charger
    • 7 USB-charging adapters for MotionSensors (Version 2019)
    • 1 Manual + transport case

Login to See Prices


Product Base Price:
Add-Ons Option Total:
Order Total:

The add to cart button is disabled because the following component is not selected:

HASOMED is synonymous with innovative medical technology for neurological rehabilitation. The brand is credited with creating the innovative practice software, Elefant, for psychotherapists. The RehaGait Analyzer Pro 2.0 is a portable system that allows therapists to record, analyze, and report patient’s gait within a clinical setup. HASOMED gait analysis equipment is recommended in facilities handling neurological patients with disorders like stroke, Traumatic Brain Injury (TBI), Parkinson’s disease, and Multiple Sclerosis (MS).

Clinical gait analysis

Clinical gait analysis is the process by which quantitative information is collected to aid in understanding the etiology of gait abnormalities and in treatment decision-making. This process is facilitated through the use of different technologies. Essential to the process is the interpretation of these data by experts with substantial knowledge in normal and pathologic gait.

The goal of clinical gait analysis is to assist in treatment decision-making. It is a process whereby gait characteristics are measured, abnormalities are identified, causes are postulated, and treatments are proposed. It is important to appreciate that while gait analysis does use technology, it does not replace the human observer. Rather, clinical gait analysis serves as an adjunct to aid in understanding – more precisely and at times more accurately – visual impressions of a patient’s gait impairment.

Through the thoughtful use of technology, gait analysis provides an opportunity to enhance the details of complex movement patterns. That may involve a number of lower (and upper) extremity joints and segments simultaneously and include movements that occur in several planes of motion concurrently, as well as to understand and correlate the associated muscle activity. Structured subjective observation is the key element. Being able to examine gait from top to bottom and acknowledge any problems has long been seen as the quickest and most effective way.

Support your subjective observation

The usage of RehaGait enables clinicians to quantify the observation. This mobile gait analysis system is used to track interventions over time with a measureable reporting that is increasingly required to receive objective data. The flexibility of RehaGait allows the user to get fast, accurate measurements in everyday situations. The system includes easy to use and intuitive software that allows you to review the data quickly and to make adjustments to your observations.

In everyday clinical practice, RehaGait can be used as a tool for the analysis of gait disorders and clinical quality management in neurological, orthopaedic and geriatric rehabilitation.

RehaGait at a glance

RehaGait is designed to strengthen subjective diagnosis by quantifying and refining what can be seen and helping to detect and track changes over time. The system comes with up to 7 straps and MotionSensors which can be fitted to the feet, lower legs, thighs and hip. The ideal walking distance is about 20 meters, but also short distances can be measured. During walking, the foot movement is measured, especially the patterns of acceleration and angular velocity.


Objective results, combined with integrated video capture function allows you to monitor the patient‘s condition, determine problem areas, assess the gait quality and identify asymmetries in the lower limbs.

  • Give patients complete freedom of movement
  • Objective data: results and progression are shown graphically
  • Mobile use, no need for a gait lab, you can use it outside or on a treadmill
  • Intuitive handling

Wireless MotionSensors for data recording

RehaGait is equipped with up to 7 MotionSensors, which record spatio-temporal specific parameters during walking. The accuracy is clinically valid according to the gold standard and has been published several times in scientific studies

These MotionSensors utilize the inertia of the mass to detect movement changes. One MotionSensor consists of a three-axis accelerometer for recording the linear acceleration, a three-axis gyroscope for recording the angular velocity and a three-axis magnetometer for recording the earth‘s magnetic. They connect via Bluetooth to the tablet software and can be read from up to 20m away.

The MotionSensors are attached at 7 points; around the hip, above the knees, above the ankles and on the proximal, lateral aspect of the foot or shoe.

Wide range of indications

Using RehaGait is indicated in neurological patients.

Neurological disorders include:

  • Stroke
  • Traumatic brain injury (TBI)
  • Parkinson’s disease
  • Multiple sclerosis (MS)

User friendly
A big tablet screen makes it easy to interact with the RehaGait software. The operation happens via the tablet based RehaGait software together with wireless MotionSensors.

Objective data
A reference database (n= 1800 healthy volunteers) of normal gait pattern is implemented in the RehaGait software. That enables a simple, fast and accurate assessment of patient´s gait pattern.

Mobile use
RehaGait is a completely portable system that takes minutes to set up. In just moments, you can record, measure, analyse and report on one’s gait patterns which makes it ideal for clinical analysis.

Data management
RehaGait analysis software uses a database for patient management and storage of measurements and analysis results. In this way, the user has at any time access to older measurements in order to compare them to each other or to present and evaluate the therapy progress

RehaGait software
Software comes pre-programmed on the included Windows tablet on purchase, this intuitive system allows you to perform the recordings quickly and easily and view the gait patterns on the tablet. All the most common functions are presented in an easy to navigate left-hand menu rather than buried in multiple complex menus. A custom report can be generated within 10 minutes of your subject.

What data will you receive after a 10 step cycle?
After you have done the calibration and your measurement, the analysis just takes some seconds. You will be directly forwarded to the parameter screen, which gives you an comprehensive overview for all measured and analyzed gait parameters.

  • Stride lengths & stride duration
  • Number of steps, cadence & velocity
  • Gait cycle variability
  • Gait phases
  • Angles (foot, ankle joint, knee joint, hip joint)
  • Max. foot height etc.

How the system works

Parameter overview

The results of all gait parameters are listed in the parameter overview. These are compared with reference values (n=1800) and they will show you in a clear and easy way whether the patient is within (green) or outside (red) of the reference database. The parameter overview provides information about basic parameter like analyzed distances, stride duration, stride length, cadence, velocity, etc. Furthermore you can find additional gait parameters for:

  • Spatial & time gait variability
  • Gait phases (e.g. stance, swing, single support & double support)
  • Angles (e.g. heel strike angle, Toe off angle, knee angles, hip angle)
  • Distances (e.g. foot height & circumduction)

Kinematics and angles

The kinematics of individual steps are displayed for such parameters as foot height, ground clearance, circumduction, velocity and acceleration. Averaged gait curves, normalized to the gait cycle are presented as a light band around the red (right foot/leg) and blue (left foot/leg) curves. Grey reference bands are related to the reference database and will give a guidance for your analysis.

The angles of the individual steps are shown for ground-foot angle, ankle, knee and hip joint angles. With the selection box, you can also display the individual steps next to each other. The grey reference band in the background is similar to the kinematics description and will support your analysis visually.

After a successful analysis, you will find the flow charts sorted by parameter group. The course of parameters is shown as score model. The recorded value is compared with a maximum of 1.0 to the reference value median of the corresponding parameter. The individual measurement sessions are indicated on the horizontal scale and the corresponding score points are linked to a regression line. Thus, increasing straight lines between the measurement session points show an improvement of the parameter. The selection box allows you to use predefined groups to select gait parameters.

Score graphs
The configurable score graphic gives a quick overview of strengths and weaknesses of the patient. The closer the inner green n-corner comes to the outer blue n-corner, the better is the gait pattern with respect to the related parameter. The selection box allows you to use predefined groups to select gait parameters or to create a customized parameter group for this score graphic.

3D Animation
Here you have the possibility to view the recorded gait of the patient as an animation more precisely from different perspectives and playback-speeds. The 3D view shows the movement of the feet, according to the measurement results, across the analyzed measurement path. The positional trajectories of the feet are preserved in the form of a green band for the last seconds of the measurement. Use the different perspectives to change the view or to visualize the gait pattern for your patient.

Symmetry indices are calculated for all bipedal parameters. The farther a bar is away from value 0, the bigger is the difference in symmetry of this parameter. If the symmetrical pattern is displayed in the negative range, a preference is given to the left foot of this parameter, while a shift of the symmetry to the right side of the body is indicated in the positive scale. These objective results, combined with integrated video capture function allows you to monitor the patient‘s condition, determine problem areas, assess the gait quality and identify asymmetries in the lower limbs.

Create reports and export your results
Quality assurance is an important topic in hospital´s daily practice. RehaGait offers the possibility to print out individual analysis or therapeutic procedures of the patient in form of a report or to store them digitally as PDF-file.

For further investigations or scientific purposes, RehaGait offers a variety of export possibilities. Several measurements of different patients can be compared and statistically processed as: Raw values, CSV files, Normalized curves, Analyzed curves, CSV export with single steps, etc..

Studies and evidences

Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill
Donath L, Faude O, Lichtenstein E, Nüesch C, Mündermann A
J Neuroeng Rehabil. 2016 Jan 20;13:6. doi: 10.1186/s12984-016-0115-z.

Spatiotemporal gait parameters during dual task walking in need of care elderly and young adults. A cross-sectional study.
Agner S, Bernet J, Brülhart Y, Radlinger L, Rogan S
Z Gerontol Geriatr. 2015 Dec;48(8):740-6. doi: 10.1007/s00391-015-0884-1.
Epub 2015 Apr 16

Amplitude-oriented exercise in Parkinson’s disease:
a randomized study comparing LSVT-BIG and a short training protocol.
Ebersbach G, Grust U, Ebersbach A, Wegner B, Gandor F, Kühn AA
Neural Transm (Vienna). 2015 Feb;122(2):253-6. doi: 10.1007/s00702-014-
1245-8. Epub 2014 May 29.

Feasibility of visual instrumented movement feedback therapy in individuals with motor incomplete spinal cord injury walking on a treadmill.
Schliessmann D, Schuld C, Schneiders M, Derlien S, Glöckner M, Gladow T,
Weidner N, Rupp R
Front Hum Neurosci. 2014 Jun 12;8:416. doi: 10.3389/fnhum.2014.00416.
eCollection 2014.

Can falls be predicted with gait analytical and posturographic measurement systems?
A prospective follow-up study in a nursing home population.
Schwesig R, Fischer D, Lauenroth A, Becker S, Leuchte S.

Inertial sensor based reference gait data for healthy subjects.
Renè Schwesig, Siegfried Leuchte, David Fischer, Regina Ullmann, Alexander
Gait & Posture 33 (2011), Issue 4, 673–678, Elsevier 2011

Gait Analysis System on the Basis of Inertial Sensors.
Kauert R., Wolfgang Liedecke, Peter Weber
Conference-Paper, TAR (2007), Berlin

Report Abuse
SKU: Gang0101 Categories: , Tags: , , , , , , , ,

Based on 0 reviews

0.0 overall

Only logged in customers who have purchased this product may leave a review.

There are no reviews yet.

Sorry no more offers available