Christian Antfolk

TL;DR: This paper presents an overview of the principal works and devices employed to provide upper limb amputees with sensory feedback and the principal features, advantages and disadvantages of the different methods are presented.

TL;DR: A real-time pattern recognition algorithm based on k-nearest neighbors and lazy learning was used to classify, voluntary EMG signals and to simultaneously control movements of a dexterous artificial hand and statistical analysis of the data revealed a difference in control accuracy based on the aetiology of amputation, type of prostheses regularly used and also between able-bodied participants and amputees.

TL;DR: It is demonstrated that placement of feedback devices on a complete phantom map improves multi-site sensory feedback discrimination, independently of the feedback modality.

TL;DR: A review of non-invasive methods of providing sensory feedback to upper-limb amputees, both extraneural and intraneural electrodes, such as cuff electrodes and transverse intrafascicular multichannel electrodes.

TL;DR: It is shown that the previously described “rubber hand illusion” is also valid for an advanced hand prosthesis, even when it has a robotic-like appearance, and can work when the amputee controls the movements of the artificial hand by recordings of the arm muscle activity with electromyograms.