Spadia's First Myoelectric Prosthesis

In this video we present ulnar, the first myoelectric prosthesis that we have developed. We have implemented our own algorithm to detect muscle activity through the analysis of electromiographic signals. This algorithm is capable of running in low cost microcontrollers and adapts to each particular person and muscle. You will see how easy it is to use our prosthesis. The person who wants to use it only needs to do a calibration of five seconds. In this calibration, the algorithm adapts to the muscle that the person wants to use, in this case the wrist flexor group. After this calibration, the algorithm has already adapted and it will respond to each contraction performed by the person.

Spadia's Prosthesis Presentation to Specialists in Rehabilitation Medicine

This is a presentation that we made to Dr. Gerardo Bertheau Martínez and Dra. Adriana Vivas Núñez. Both attended Universidad de Guadalajara and obtained a Degree of Medicine. Afterwards, they obtained the specialty in Physical Medicine and Rehabilitation at Universidad Nacional Autónoma de México. Currently, they are members of the Mexican Society of Physical Medicine and Rehabilitation and work in the Mexican Social Security Institute.

You will see how Dr. Gerardo Bertheau controls the prosthesis using his biceps and get used to it in no more than one minute of using it. We actually got very good feedback from them. Take a look at the video and see what happened!

Brain-Machine Interface based on EEG

This is one of the human-system interaction projects developed by one of our leaders, Eduardo López Arce Vivas.
The Brain-Machine Interface consists of a robotic hand controlled with brain electrical activity registered with a non-invasive technique known as electroencephalography. The robotic hand closes and opens whenever a subject closes or opens its eyes, respectively. The signal processing algorithm and pattern recognition system are presented in the IEEE publication:

Eduardo López-Arce Vivas, Alejandro García-González, Iván Figueroa, and Rita Fuentes. Discrete Wavelet Transform and ANFIS Classifier for Brain-Machine Interface based on EEG. IEEE International Conference on Human System Interaction, 2013.

This outstanding publication was honored with THE BEST PAPER AWARD in the area of Human Machine Interaction at the 6th IEEE International Conference on Human System Interaction.

Spadia's First Myoelectric Prosthesis: Biceps

This is another video in which we present our first prosthetic hand; however, in this case the subject is controlling the prosthetic hand using his biceps. Remember, it only takes a calibration of five seconds. After this calibration, the algorithm will detect each contraction performed by the subject. Yes, it's actually that simple!