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S-HOW MotionMeasure, Prevent
Upper limb
Background
• Difficult to interpret pain in shoulder impairments
(is it a cause or a consequence?)
• Need to improve communication among operators
• Need to give clear and evidence-based messages to patients
S-HOW Motion Measure, Prevent
• Lack of reliable and objective methods to interpret the scapulo-humeralrhythm
• Accurate analysis limited to motion analysis labs
• Injury prevention on the field?
Research tool: Shoulder Meter
• Advanced application of wearable technology based on inertial sensors for the quantification of scapulo-humeral rhythm
• Allows to run a 10-15 minutes analysis describing how the movement is performed
• Allows to generate a biomechanical profile on articularity of the subject
• Study the effect of an underlying pathology/injury
S-HOW Motion Measure, Prevent
How it works
S-HOW Motion Measure, Prevent
Vestibular systemMotion tracking wearable technology
Real-time
inter-joint coordination
Features
• Quick and easy RoM measurement tool for the functional evaluation of the upper limb
• Evaluate and track the alterations at the shoulder level
• Immediately evaluate the effect of passive/active mobilization
• Support (positioned at one step before) YOUR interpretation of shoulder alterations
• Real-time feedback
• Joints covered:– Scapulo-thoracic (all 3 DoF)
– Humero-thoracic
– Gleno-humeral
– Elbow
• Easy integration with strength and muscle activity devices
• Based on a validated measurement protocol (ISEOTM)
ISEOTM is a trademark by INAIL, Italy
S-HOW Motion Measure, Prevent
Validation studies [1-7]
Example: injury prevention [6]
• Secondary prevention (identify the problem before it occurs)
S-HOW Motion Measure, Prevent
Discussion
• How shoulder evaluation can benefit from ourwearable technology?
– Explore scapulo-humeral rhythm in complexscenarios/pathologies/populations
– Track the dynamic motion during treatment
– Compare pre-post surgery status
– Augment communication with patients and operators
– No limitations to the location of analysis
– Immediately watch the result of active mobilization
S-HOW Motion Measure, Prevent
Bibliography[1] A. G. Cutti, A. Giovanardi, L. Rocchi, A. Davalli, and R. Sacchetti, “Ambulatory measurement of shoulder and elbow kinematics through inertial and
magnetic sensors,” Med Biol Eng Comput, vol. 46, no. 2, pp. 169–178, Feb. 2008.
[2] I. Parel, A. G. Cutti, G. Fiumana, G. Porcellini, G. Verni, and A. P. Accardo, “Ambulatory measurement of the scapulohumeral rhythm: intra- and inter-
operator agreement of a protocol based on inertial and magnetic sensors,” Gait Posture, vol. 35, no. 4, pp. 636–640, Apr. 2012.
[3] J. C. van den Noort, V. A. Scholtes, and J. Harlaar, “Evaluation of clinical spasticity assessment in cerebral palsy using inertial sensors,” Gait Posture, vol. 30, no. 2, pp. 138–143, Aug. 2009.
[4] A. Ferrari, A. G. Cutti, P. Garofalo, M. Raggi, M. Heijboer, A. Cappello, and A. Davalli, “First in vivo assessment of „Outwalk‟: a novel protocol for clinical
gait analysis based on inertial and magnetic sensors,” Med Biol Eng Comput, vol. 48, no. 1, pp. 1–15, Jan. 2010.
[5] J. C. van den Noort, A. Ferrari, A. G. Cutti, J. G. Becher, and J. Harlaar, “Gait analysis in children with cerebral palsy via inertial and magnetic
sensors,” Med Biol Eng Comput, vol. 51, no. 4, pp. 377–386, Apr. 2013.
[6] A. Pellegrini, P. Tonino, P. Paladini, A. Cutti, F. Ceccarelli, and G. Porcellini, “Motion analysis assessment of alterations in the scapulo-humeral rhythm
after throwing in baseball pitchers,” Musculoskelet Surg, vol. 97, no. 1, pp. 9–13, Jun. 2013.
[7] A. G. Cutti, A. Ferrari, P. Garofalo, M. Raggi, A. Cappello, and A. Ferrari, “„Outwalk‟: a protocol for clinical gait analysis based on inertial and magnetic
sensors,” Med Biol Eng Comput, vol. 48, no. 1, pp. 17–25, Jan. 2010.
