contribution to the project:
Design for Manufacture
Prototyping for medical trial
Inmodi is an AI-enabled medical device that captures and analyses acoustic and kinematic data for knee joint health assessment.
Sensemodi’s wearable seamlessly integrates multiple synchronous non-contact sensors to ensure a holistic high-quality data capture. The combination of the modalities by an AI approach increases the robustness of the evaluation and allows discrimination of potential conditions and their severity, based on the cumulation of quantified symptoms.
Acoustic sensors to quantify joint friction (crepitus) and abnormal noise, as an indication of tissue damage.
Thermal sensors measure temperature distribution at various locations to quantify localized inflammation or infection.
Kinematic sensors help to segment acoustic data, quantify joint instability and evaluate the gait to detect abnormalities
Te key challenge - from a technical perspective - has been obtaining a high quality noise-free acoustic recording.
For that, the whole brace is designed in a way that no vibrations, noises and other acoustic artifacts would be captured by the extremely sensitive microphones.
Sapetti has been involved from very early stages of the project, allowing design, engineering and user-experience to walk hand in hand.
Being involved since the start of the development, we were able to setup a process where requirements, technology and design were constantly evolving hand in hand.
In Collaboration with Octanis Instruments, we developed a highly performant platform brace that can allow precise gathering of information as well as ease of use.
The silicon interface allows the sensors to keep an optimal position during movement with reduced friction artefacts, regardless of the size and shape of the knee.
The key aspect of the development was to provide Inmodi with prototypes that could be used for testing and evaluation on users.
The result is a practical non-invasive wireless wearable non-invasive device, designed to be easily placed by any healthcare practitioner on the patient.
The device captures highly accurate data used to assess the knee joints health and be able to discover early signs of potential problems.
All prototypes have been done following ISO norms and use biocompatible certified materials
Multiple sensors, displays, wireless connectivity and others were implemented into the concept from early stages
one size fits all
For ease of use and implementation, the system was designed to fit well on all types of legs.