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Holistic Personalized Healing - ErgoRehab

Complete muscle/bone/movement recovery after fractures. A holistic patient-centric approach.

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How does your research relate to the Challenge?

Bone recovery can take a long time and muscle wasting is almost inevitable especially for the elderly. Muscles and bones work together and so does their recovery. Muscle loss can lead to uneven stresses on the bone and joints, uneven bone healing, and eventually incomplete healing or even re-injury. We have developed unique movement evaluation algorithms that examine complete kinetic chains which are ideal for tracking in detail recovery from a functional and holistic perspective.

Tell us about your research:

We have unique software and deep-tech algorithms for evaluation of how people perform movements against resistance. These tools have been validated for healthy athletes and provide 25% more benefits compared to best practices. We are currently investigating the implementation in rehabilitation applications mostly as a means for in-depth monitoring or recovery. Our movement evaluations tests and advanced algorithms could be employed during the recovery stage, post-fracture, to provide a more personalized and patient-centric recovery experience. We have participated in the preparation of two recent EU Horizon2020 proposals that were related to rehabilitation (hand injuries and exoskeletons for hip injuries) where our contribution was deep monitoring of patients during the recovery period and providing more intelligent input data for the AI systems involved. With our advanced movement evaluation and advanced algorithms we anticipate the following: 1. more effective healing of both bone and muscle and movement functional capability (i.e., recovery of an increased % of previous capability). 2. more efficient healing in terms of time and necessary resources. 3. fewer problems long-term, e.g., pain or re-injuries. Important to note that our algorithms are based on first-principles without getting lost in joint-by-joint biomechanics. As such, we do not need any data training period to train an AI as we immediately know what the data mean. However, if we are to connect to other sources of data, e.g., bone-density scans, then a ML approach could be beneficial.

What is an insight, question, or provocation that might inspire others during this challenge?

Holistic patient-centered recovery demands to look at muscle-recovery, bone densification, and full functional movement evaluation. Monitoring just bone densification and coarse movements is not enough! A personalized holistic approach is needed.

Tell us about yourself

Research scientist (physiology and disease simulations) located in Greece, sometimes in Boston. Getting close to 60 years old, decades experience in resistance training. Recent startupper. ErgoSensePro Inc software company for personalized training and rehabilitation. Believe strongly that the powerful algorithms and evaluation tests of Ergo can be implemented in many ways in rehabilitation and beyond. Ergo = Revolution in movement analytics!

If you participated in a Research Event, tell us which Chapter or city you came from:

Thessaloniki, Greece I'm in Boston one month every year. (June this year)

(Optional) What might you need to understand to be successful in the Ideas Phase ahead?

Clinician with relative experience would be good. Possibly an AI person if we are to employ bone density data in order to best correlate them with our deep movement analytics. Maybe partnership is possible.

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How we look at the general rehabilitation problem

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Thanks Aleck Alexopoulos for sharing your insights in the Research Phase! What ideas did your findings spark? Now is the time to share them in the Ideas Phase!

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See you in the Ideas Phase,
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