Seamless Integrated Textrode-Band for Real-time Lower Limb Movements Classification to Facilitate Self-Administrated Phantom Limb Pain Treatment

Phantom Motor Execution (PME) is a mechanism-based approach for the treatment of Phantom Limb Pain (PLP), which could potentially be self-administered in the home environment. However, the placement of electrodes aimed to acquire myoelectric signals from the residual stump muscles can be regarded as a difficult and time-consuming process by the patient. Thus, to increase patient compliance, the process must be made easier, faster, and cost effective. In this study, we developed and investigated a seamless integrated textrode-band for myoelectric recordings. The textrode-band can be easily donned/doffed, is reusable and washable. We demonstrated the viability of such concept by analyzing the signal-to-noise ratio (SNR), as well as offline and real time motion decoding performance, that in our experience are compatible with the PME treatment.

[1]  Wan-Young Chung,et al.  Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring , 2009 .

[2]  Thomas Lonjaret,et al.  Cutaneous Recording and Stimulation of Muscles Using Organic Electronic Textiles , 2016, Advanced healthcare materials.

[3]  T. Finni,et al.  Ventilatory threshold during incremental running can be estimated using EMG shorts , 2012, Physiological Measurement.

[4]  Max Ortiz-Catalan,et al.  BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms , 2013, Source Code for Biology and Medicine.

[5]  M. Swiontkowski Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms , 2010 .

[6]  Steffi L. Colyer,et al.  Textile Electrodes Embedded in Clothing: A Practical Alternative to Traditional Surface Electromyography when Assessing Muscle Excitation during Functional Movements. , 2018, Journal of sports science & medicine.

[7]  M. Ortiz-Catalán,et al.  Treatment of phantom limb pain (PLP) based on augmented reality and gaming controlled by myoelectric pattern recognition: a case study of a chronic PLP patient , 2014, Front. Neurosci..

[8]  A. Curt,et al.  Relationship between chronic pain and brain reorganization after deafferentation: A systematic review of functional MRI findings☆ , 2015, NeuroImage: Clinical.

[9]  A. Stockselius,et al.  Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain , 2016, The Lancet.

[10]  V. Ramachandran,et al.  The perception of phantom limbs , 1998 .

[11]  Jan H B Geertzen,et al.  Phantom pain and risk factors: a multivariate analysis. , 2002, Journal of pain and symptom management.

[12]  Robert D. Lipschutz,et al.  Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms. , 2009, JAMA.

[13]  M. Ortiz-Catalán The Stochastic Entanglement and Phantom Motor Execution Hypotheses: A Theoretical Framework for the Origin and Treatment of Phantom Limb Pain , 2018, Front. Neurol..

[14]  M. Ortiz-Catalán,et al.  Real-time Classification of Non-Weight Bearing Lower-Limb Movements Using EMG to Facilitate Phantom Motor Execution: Engineering and Case Study Application on Phantom Limb Pain , 2017, Front. Neurol..

[15]  Li Guo,et al.  Design of a garment-based sensing system for breathing monitoring , 2013 .

[16]  Enzo Mastinu,et al.  Analog front-ends comparison in the way of a portable, low-power and low-cost EMG controller based on pattern recognition , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[17]  H. Flor,et al.  Origin of phantom limb pain: A dynamic network perspective , 2017 .