Anatomical Concepts (UK)
Masters of Rehabilitation Engineering
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RehaGait

Gait Analysis Made Simple

RehaGait Analyser (Pro)

Gait analysis is not new. Clinicians have long wanted reliable and objective ways of documenting and interpreting movement in health and disease. RehaGait Analyser is a product designed to make gait analysis practical for routine clinical use. We dont suggest you neglect gait observation. The aim is to provide a quantitative tool that enhances what you can do just with observation.

RehaGait is an easy to use, clinically valid gait analysis system. Ideal for documenting patient progress without the complexity of many alternative systems.

RehaGait is Portable - use anywhere

The goal of clinical gait analysis is to go beyond just measurement and to assist in treatment decision-making. Clinical gait analysis is a process whereby gait characteristics are measured, abnormalities are identified, causes are postulated, and treatments are proposed.

Whether you are a doctor, a therapist or a trainer – RehaGait provides objective, and time-saving assessment of movement disorders. The CE-certified system is already used today as medical product in all fields of rehabilitation for the therapy of gait and movement restrictions.

Special software and sensors provide extensive opportunities for researchers and developers in biomechanics and movement sciences.

Fields of Application

RehaGait Ssnsor Position

The RehaGait Analyzer (Pro) is ideal for quantitative assessments in neurological, orthopaedic and musculoskeletal (sport) applications. The examples below are stereotypical of the various conditions. We might recognise the descriptions but imagine if we can quantify these complex movement patterns and observe changes as a result of our therapy interventions?

Hemiplegic Gait (Stroke)
The patient stands with unilateral weakness on the affected side, arm flexed, adducted and internally
rotated. Leg on same side is in extension with plantar flexion of the foot and toes. The patient will hold his or her arm to one side and drags his or her affected leg in a semicircle (circumduction) due to weakness of distal muscles (foot drop) and extensor hypertonia in lower limb.
Parkinsons Gait
In this gait pattern, the patient will have rigidity and bradykinesia. He or she will be stooped with the head and neck forward, with flexion at the knees. The whole upper extremity is also in flexion with the fingers usually extended. The patient walks with slow little steps known as marche a petits pas (walk of little steps). Patient may also have difficulty initiating steps.
Diplegic Gait
Patients have involvement on both sides with spasticity in lower extremities worse than upper extremities. The patient walks with an abnormally narrow base, dragging both legs and scraping the toes. This gait is seen in bilateral periventricular lesions, such as those seen in cerebral palsy. There is also characteristic extreme tightness of hip adductors which can cause legs to cross the midline referred to as a scissors gait.
Ataxic Gait (cerebellar)
Most commonly seen in cerebellar disease, this gait is described as clumsy, staggering movements with a wide-based gait. While standing still, the patient‘s body may swagger back and forth and from side to side, known as titubation. Patients will not be able to walk from heel to toe or in a straight line.
Myopathic Gait
Hip girdle muscles are responsible for keeping the pelvis level when walking. If you have weakness on one side, this will lead to a drop in the pelvis on the contralateral side of the pelvis while walking (Trendelenburg sign). With bilateral weakness, you will have dropping of the pelvis on both sides during walking leading to waddling. This gait is seen in patient with myopathies, such as muscular dystrophy.
Neuropathic Gait
Typically unsteady, gait in neuropathic disorders is often high-stepping, this being an almost diagnostic feature. Patients may fall over if asked to close their eyes. Neuropathic disorders can arise from: Diabetes, Alcoholism, HIV, Toxin exposure, Metabolic abnormalities, Vitamin deficiency, Adverse effects of certain drugs, 32-70% of all peripheral neuropathies are idiopathic.

Technical Aspects - Sensor Technology

The system utilises triaxial accelerometers, gyroscopes, and magnetometers (a total of 9 Degrees of Freedom).  The sensor is an inertial measurement unit (IMU) controlled by a microcontroller.  It can be integrated into a sensor network via Bluetooth.

RehaGait system

RehaGait system

Linear acceleration as well as angular velocity of complex motion sequences can be recorded with high sampling rates of up to 600 Hz. The highly configurable IMU offers multiple advantages:

  • freely configurable (sampling rate, measurement mode etc.)

  • internal memory (4 GB)

  • long battery life (11 hours)

  • wireless

  • calibrated

  • compact

  • flexible straps

The internal memory allows continuous data storage on the sensor. Therefore, the permanent connection to a receiver is not necessary.

RehaGait Analyser and RehaGait Analyser Pro

  • The Analyser version features 2 motion sensors (tri-axial accelermeters) that are secured to the foot (footwear)

  • The Analyser Pro version includes 7 motion sensors that are secured to the Feet, shanks, thighs and trunk

The analysis system is focused on the aspects of walking, which can be regarded as an indicator for gait quality.  During walking, the foot movement is measured, especially the patterns of acceleration and angular velocity that occur.  On this basis, gait variables are calculated. These gait parameters represent a measure for gait quality and are checked for compliance with specific normal ranges. Left-right-symmetries are calculated for all bipedal parameters.

The RehaGait Analyser uses 2 Motion Sensors

RehaGait Analyser Identifies

Stride frequency
Stride length
No. of steps
Spatial & temporal gait cycle variability
Speed
Walking phases
Running phases
Angle of foot
Ground clearance
Circumduction

The RehaGait Analyser Pro uses 7 Motion Sensors

RehaGait Analyser Pro Identifies

Stride frequency
Stride length
No. of steps
Spatial & temporal gait cycle variability
Speed
Walking phases
Running phases
Angle of foot
Ground clearance
Circumduction
Ankle joint angle
Knee joint angle
Hip joint angle


RehaGait_Sensor.jpg

What Does a System include?

One Windows Tablet (Main unit) + accessories
MotionSensors - 2 with the Analzer and 7 with the Pro
One Charging device for sensors + accessories
Charging adapter for MotionSensor - 2 with the Analzer and 7 with the Pro
2 foot straps (size 34-48/ EU)
2 shank Straps
2 thigh Straps
2 trunk Strap
1 transport case
1 User Manual
1 RehaGait analysis software for MS Windows

Data Analysis

Many different parameters, such as the duration, frequency, stride length and number of steps, as well as gait cycle variability, speed, walking and running phases, the angle of the foot, ground clearance and circumduction, can be evaluated using the RehaGait Analyzer (Pro) software.

Reference data
For these parameters, a reference database (n= 1860 healthy volunteers, depending on age (5-95 years) and body height (1,18m - 2,06m) of normal gait pattern is implemented in the RehaGait Analyzer (Pro) software. The alignment with the reference data enables a simple, fast and accurate assessment of a patient ́s gait pattern.

Bipedal Parameters

For all bipedal parameters, indices of symmetry are calculated and shown graphically. Additionally, the symmetry of gait phases in the course of time is shown. The kinematics of foot height, circumduction and joint angles are displayed graphically and a reference value dependent score allows a fast and clear assessment of selected gait parameters. The 3D view provides the option to look at patients gait pattern from different perspectives. With the video function, the patient can be filmed during a measurement. It is possible to assess the current gait of the patient objectively and to identify changes in the gait pattern in the therapy progression by regularly repeated measurements. Moreover, one therapist can compare two measurements (pre-post comparison) of one patient within few seconds.


The RehaGait Brochure

Articles

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

  2. Reliability of the novel gait analysis system RehaWatch René Schwesig/ Ralf Kauert/ Sylvia Wust/ Stephan Becker / Siegfried Leuchte Biomedizinische Technik/Biomedical Engineering. ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/bmt.2010.025, March 2010 - Abtract

  3. Validitätsuntersuchung zum neuen, innovativen Ganganalysesystem RehaWatch von Hasomed Dr. phil. S. Derlien, B. Böhme, L. Leistritz, Prof. Dr. U.C. Smolenski Springer-Verlag , Manuelle Medizin August 2010, Volume 48,Issue 4 pp 254-259 - Abtracts

  4. Referenzdatenerhebung mit dem inertialsensorbasierten Ganganalysesystem RehaWatch von Hasomed Renè Schwesig, Marc Hofmann David Fischer, Till Gladow, Siegfried Leuchte, Orthopädie-Technik, 2010;61(12):874 ISSN:0340-5591

  5. Ermittlung eines Sturzindexes bei Pflegeheimbewohnern mittels Ganganalyse und Posturographie, Schwesig R, Forschungsbericht (2010), Matin-Luther-Universität Halle-Wittenberge

  6. Reference Values for Gait using Outcomes of the Gait Analysis System RehaWatchMarc Hofmann, D. Adolf, Wolfgang Liedecke Congress Lecture [3347] Abstract [522], Topic: Related Rehabilitation, 13th ISPO World Congress (2010), Leipzig - Abtract

  7. Der Einfluss des therapeutischen Reitens auf die Haltungsregulation. Haltung & Bewegung, Schwesig R., Neumann S., Richter D., Kauert R., Leuchte S. 1 (2009) jg 29, 14-22, Bundesarbeitsgemeinschaft für Haltungs- und Bewegungsförderung e.V. (BAG), Wiesbaden

  8. Vergleichsstudie zur Genauigkeit der Gangparameterbestimmung mit den Systemen RehaWatch und AMP Dynastream, Renè Schwesig, Forschungsbericht (2008), Martin-Luther-Universität Halle-Wittenberg

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

  10. Gait phase detection and step length estimation of gait by means of inertial sensors. Negaard N.-O., Andres S., Kauert R., Schauer T., Raisch J. Conference-Paper (2005), Prague, Czech Republic

For further studies contact us for information. There are 23 published studies as of Febraury 2019

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Manufactured by our German partners

Hasomed GmbH info@hasomed.de