Development of a Bracelet With Strain-Gauge Matrix for Movement Intention Identification in Traumatic Amputees

Myoelectric prosthesis is an electronic device designed to mimic human anatomy and to replace a missing body part for an amputee. Today some prostheses can provide the users with several degrees of freedom. But the major challenges in their design remain related to the control of such devices using a variety of sensors. Regarding this aspect, strain gauges are considered of great interest for strain measurements on the human body for their simplicity, availability, and low cost. Therefore, the use of these strain gauges to identify movement intentions could allow one to design innovative myoelectric prostheses, which would be robust, simple, and less expensive in comparison to using electromyography. Nevertheless, to our knowledge, identifying the movement intentions using strain gauge measurements has yet to be explored. The objective of this paper is to develop a sensor and a method capable of identifying the intentions of the upper limb movements. The developed sensor is a silicone bracelet equipped with a matrix of 16 strain gauges. The small skin deformations were measured by the proposed bracelet and then classified to identify the intentions of movements. A test was performed on one adult female, who underwent amputation of the left forearm (traumatic transhumeral amputee), equipped with the bracelet placed on her upper arm while performing upper limb motions (flexion and extension). The results showed that all studied movements were adequately identified. Specifically, the elbow flexion/extension was identified in 96% of the cases.

[1]  Yuki Hara,et al.  Proposal of bioinstrumentation using shape deformation of amputated upper limb , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[2]  Kathryn Ziegler-Graham,et al.  Estimating the prevalence of limb loss in the United States: 2005 to 2050. , 2008, Archives of physical medicine and rehabilitation.

[3]  Yonggang Huang,et al.  Silicon nanomembranes for fingertip electronics , 2012, Nanotechnology.

[4]  Sofiane Achiche,et al.  Detecting muscle contractions using strain gauges , 2016 .

[5]  Yong-Lae Park,et al.  A Soft Strain Sensor Based on Ionic and Metal Liquids , 2013, IEEE Sensors Journal.

[6]  B. Glisic,et al.  Influence of mechanical and geometrical properties of embedded long-gauge strain sensors on the accuracy of strain measurement , 2012 .

[7]  Rajnikant V. Patel,et al.  Integration of Force Reflection with Tactile Sensing for Minimally Invasive Robotics-Assisted Tumor Localization , 2013, IEEE Transactions on Haptics.

[8]  Rebecca K. Kramer,et al.  Hyperelastic pressure sensing with a liquid-embedded elastomer , 2010 .

[9]  S.G. Meek,et al.  Fatigue compensation of the electromyographic signal for prosthetic control and force estimation , 1993, IEEE Transactions on Biomedical Engineering.

[10]  Yong-Lae Park,et al.  Design and Fabrication of Soft Artificial Skin Using Embedded Microchannels and Liquid Conductors , 2012, IEEE Sensors Journal.

[11]  T. Kuiken,et al.  EMG pattern recognition control of multifunctional prostheses by transradial amputees , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Ping-Lin Fan,et al.  Mechatronic experiments course design: a myoelectric controlled partial-hand prosthesis project , 2004, IEEE Transactions on Education.

[13]  T.C. Lueth,et al.  Intelligent recognition system for hand gestures , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

[14]  Yuki Hara,et al.  Proposal of bioinstrumentation using flex sensor for amputated upper limb , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Raeed H. Chowdhury,et al.  Epidermal Electronics , 2011, Science.

[16]  Alcimar Soares,et al.  The Development of a Virtual Myoelectric Prosthesis Controlled by an EMG Pattern Recognition System Based on Neural Networks , 2004, Journal of Intelligent Information Systems.

[17]  John A. Rogers,et al.  Highly Sensitive Skin‐Mountable Strain Gauges Based Entirely on Elastomers , 2012 .

[18]  L. Ljung,et al.  A Microprocessor System for Multifunctional Control of Upper-Limb Prostheses via Myoelectric Signal Identification , 1978 .

[19]  Robert J. Wood,et al.  Soft curvature sensors for joint angle proprioception , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Veljko M. Milutinovic,et al.  MC Sensor—A Novel Method for Measurement of Muscle Tension , 2011, Sensors.

[21]  P. Woias,et al.  Polydimethylsiloxane strain gauges for biomedical applications , 2015, 2015 Transducers - 2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS).

[22]  Todd A Kuiken,et al.  Real-time simultaneous and proportional myoelectric control using intramuscular EMG , 2014, Journal of neural engineering.

[23]  Saso Tomazic,et al.  In-Vivo Measurement of Muscle Tension: Dynamic Properties of the MC Sensor during Isometric Muscle Contraction , 2014, Sensors.

[24]  Yi Meng,et al.  Application of a PVDF-based stress gauge in determining dynamic stress–strain curves of concrete under impact testing , 2011 .