An Innovative Multisensor Controlled Prosthetic Hand

This article reports the design, realisation and preliminary testing of an innovative multisensor controlled prosthetic hand. The mechanical design is strongly oriented to satisfy the requirements of delivery a penta-digital prosthetic hand with reduced hand size, low weight, independent finger movement and bio-mimetic shape. Moreover, an ad hoc sensing architecture has been designed including traditional EMG system together with in socket force measurement and inertial sensing. This sensing architecture is intended to reduce the socket complexity in terms of adaptation to different patient forearms, without loosing the possibility of performing multiple hand grips. An innovative concept introducing inertial sensing in order to select appropriate robotic hand configurations is also described. A first prototype of the prosthetic hand has been realised and preliminary tests are reported.

[1]  R.N. Scott,et al.  A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.

[2]  D Howard,et al.  Dimensional change in muscle as a control signal for powered upper limb prostheses: a pilot study. , 1999, Medical engineering & physics.

[3]  William Craelius,et al.  The bionic man: restoring mobility. , 2002, Science.

[4]  L. Kirkup,et al.  Control of a hand grasp neuroprosthesis using an electroencephalogram-triggered switch: Demonstration of improvements in performance using wavepacket analysis , 2002, Medical and Biological Engineering and Computing.

[5]  S Micera,et al.  A hybrid approach to EMG pattern analysis for classification of arm movements using statistical and fuzzy techniques. , 1999, Medical engineering & physics.

[6]  F. K. Lam,et al.  Fuzzy EMG classification for prosthesis control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[7]  D S Childress,et al.  Cineplasty as a control input for externally powered prosthetic components. , 2001, Journal of rehabilitation research and development.

[8]  D T Barry,et al.  Acoustic myography as a control signal for an externally powered prosthesis. , 1986, Archives of physical medicine and rehabilitation.

[9]  Kevin B. Englehart,et al.  A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.

[10]  W. Craelius,et al.  Pressure signature of forearm as predictor of grip force. , 2008, Journal of rehabilitation research and development.