Deep EMG™️
deep muscles exploration
Deep-EMG is a BLUEBACK's proprietary technology, developed since 2019, which allows you to visualize deep muscles quickly and easily.
Simple surface sensors placed on the skin, and you access the muscular activity of deep structures, in real time, on a moving subject!
Artificial Intelligence at the service of patients
In Deep-EMG, there is EMG or ElectroMyoGraphy, it is a measurement technique that allows to record a signal reflecting the activity of a muscle, from specific sensors. This exploration technique has existed for several decades and is widely used for functional exploration or scientific research. The principle? Capture on the surface of the skin, the electrical signals created during muscle activations and diffused on the surface. For what situations? For surface muscles. Why? Because the electrical signals generated during muscle contractions are very weak and they will all "mix" when several muscles contract at the same time. Therefore, the EMG technique consists of placing the electrodes on (or as close as possible to) the muscle being evaluated, to mainly capture the electrical signal that it emits. It is therefore not suitable for deep muscles.
Innovative sensors
The muscle is deep, the signal sought is weak. Let's look for ultra high definition sensors capable of detecting very low amplitude signals!! After an intense sourcing and testing phase, we selected the Ultra High Definition Soft Pulse ®️ electrodes manufactured by DATWYLER. Unlike the classic EMG method, Blueback decided to place these flexible conductive polymer electrodes in a location where it is possible to capture a maximum of electrical activity: in the triangle located between the anterior superior iliac spines and the pubic symphysis. These sensors chosen for their high resolution and precision, will allow us to capture this multitude of signals including that coming from the transverse muscle or those of the pelvic floor muscles, with the necessary sensitivity to then be able to process them mathematically in a robust and efficient way (the next phase!)
Algorithm integrating AI
The signal processing algorithm will extract only the information that interests us: knowing if the deep muscles are contracted. In other words, it will apply specific calculation methods and algorithms in order to detect and individualize the electrical current of the transverse muscle among this multitude of characteristics received (those of the obliques, the rectus abdominis, etc.). It is thanks to advanced signal processing techniques and a method of classifying signals from artificial intelligence that Deep-EMG can therefore know in real time whether the muscle sought is contracted or relaxed. The magic has happened!
Deep EMG Scientific Validation
Articles in 🇫🇷
2022 - Poster GRETSI Nancy - The method of classification of deep muscles from surface EMG
2020 - Peer-reviewed article Kinésithérapie la Revue - Comparison of Blueback Physio and ultrasound imaging
Articles in 🇬🇧
2024 - IEEE Sensors Journal peer-reviewed article - The classification method and results
2024 - Poster EUSIPCO Lyon
2023 - Poster JETSAN Paris
2023 - Poster EUSIPCO Helsinki
2022 - Poster EMBC Glasgow
Endometriosis
Etiology
No direct link but intense pain in the abdominal area. Aim of stabilizing the lumbopelvic region.
Endometriosis pain induces muscle dysfunction
Links
Salinas-Asensio et al. Int. J of Env. Res. and Pub. Heath 2022
Clinical Trail NCT03979183 - completion dec 2021
Endometriosis UK program from Oxford university
Respiratory Rehabilitation
Etiology
Weakened recruitment
Link between thickness and reduction in lung volume
Links
Roussel et al. Eur. Spine J. 2009;18(7):1066-1073
Hye-Jin Lee et al. J Exerc Rehabil. 2018;14(4):648-653
Amerijckx et al. 2020 Musculoskeletal Science and Practice 2020;46:102105
