Project information

Run time: 01.04.2022-31.05.2025

Funding by: tech2people GmbH

The Viennese eHealth start-up tech2people is introducing efficient, high-quality forms of therapy based on pioneering new technologies in Austria with the help of specially trained therapeutic staff.

News

EDIT (Evolving Data-Improved Therapy) aims to develop individualised therapies and data analyses by using a wide range of sensor and device data to create holistic models. A digital image of the patient, a so-called ‘patient twin’, is to be created to support therapists and patients with relevant information. In addition, the development of a model for predicting the success of therapy is to be made possible in order to better understand and predict the progress of patients.

Digital, robotics-supported therapy devices offer highly innovative forms of therapy for people with neurological conditions (e.g. paraplegia, multiple sclerosis, stroke) and rehabilitation patients following accidents. These devices enable these people to perform movements independently again under the guidance and assistance of a physiotherapist, thereby training and reactivating the musculoskeletal system and the entire organism. In addition, the data collected by the devices provides a wealth of information for the evaluation, individualisation and optimisation of therapies for individual patients. In particular, the combination of different devices (multi-modal sensor data) promises a better description of the individual’s condition and therapy progress. Due to the novelty of the technology, therapy analysis is still at the beginning of its possibilities.

While traditional therapy is based on a high level of physical effort by the therapist together with the patient, robotics-supported methods enable more precise, repeatable movement guidance and more repetitions. It also allows digital data to be collected, which means that performance and progress can be compared and monitored more closely. The aim of the EDIT project is to develop a method apparatus for data-driven, individually optimised analysis and therapy development with the vision of distributing and offering these methods and technologies as a service at modern therapy centres.

The project is in the process of implementing a holistic, patient-centred analysis and modelling of therapy data. Much preliminary work has already been done, particularly in validating, processing and analysing sensor data from various devices. The next step is to prepare for large-scale modelling and analysis. One focus is on monitoring therapy progress over time and evaluating the contribution of patients.

The RSA FG is supporting this project by providing R&D services as part of this project, building on the joint feasibility study carried out in 2019. The intention is to build up tech2people’s expertise in these areas in a targeted manner so that the technologies can be transferred and further developed by tech2people.

Project information

Run time: 01.04.2022-31.05.2025

Funding by: tech2people GmbH

The Viennese eHealth start-up tech2people is introducing efficient, high-quality forms of therapy based on pioneering new technologies in Austria with the help of specially trained therapeutic staff.

News

EDIT (Evolving Data-Improved Therapy) aims to develop individualised therapies and data analyses by using a wide range of sensor and device data to create holistic models. A digital image of the patient, a so-called ‘patient twin’, is to be created to support therapists and patients with relevant information. In addition, the development of a model for predicting the success of therapy is to be made possible in order to better understand and predict the progress of patients.

Digital, robotics-supported therapy devices offer highly innovative forms of therapy for people with neurological conditions (e.g. paraplegia, multiple sclerosis, stroke) and rehabilitation patients following accidents. These devices enable these people to perform movements independently again under the guidance and assistance of a physiotherapist, thereby training and reactivating the musculoskeletal system and the entire organism. In addition, the data collected by the devices provides a wealth of information for the evaluation, individualisation and optimisation of therapies for individual patients. In particular, the combination of different devices (multi-modal sensor data) promises a better description of the individual’s condition and therapy progress. Due to the novelty of the technology, therapy analysis is still at the beginning of its possibilities.

While traditional therapy is based on a high level of physical effort by the therapist together with the patient, robotics-supported methods enable more precise, repeatable movement guidance and more repetitions. It also allows digital data to be collected, which means that performance and progress can be compared and monitored more closely. The aim of the EDIT project is to develop a method apparatus for data-driven, individually optimised analysis and therapy development with the vision of distributing and offering these methods and technologies as a service at modern therapy centres.

The project is in the process of implementing a holistic, patient-centred analysis and modelling of therapy data. Much preliminary work has already been done, particularly in validating, processing and analysing sensor data from various devices. The next step is to prepare for large-scale modelling and analysis. One focus is on monitoring therapy progress over time and evaluating the contribution of patients.

The RSA FG is supporting this project by providing R&D services as part of this project, building on the joint feasibility study carried out in 2019. The intention is to build up tech2people’s expertise in these areas in a targeted manner so that the technologies can be transferred and further developed by tech2people.