External Robotic Arm vs. Upper Limb Exoskeleton: What Do Potential Users Need?
Tóm tắt
Robotic devices that practically assist activities of daily living (ADL) are scarce. The aim of this study was to investigate practical demands of potential users of external robotic arms and upper limb exoskeletons for assistance in ADL. A survey was performed in rehabilitation clinics in individuals with functional impairments in the upper extremity, divided into unilateral (UIG, n = 24) and bilateral impairment groups (BIG, n = 24). Descriptive analyses were performed for current dependency, objective importance, and subjective necessity of the 18 ADLs by using a 5-point Likert scale. Overall, handling foods, dressing, and moving close items were highly necessary functions for both robot types. The UIG demonstrated a high demand for self-exercise using exoskeletons, whereas one-hand ADLs showed low necessity. In the UIG, the exoskeleton had significantly higher demands than the external robotic arm in washing face (p = 0.005) and brushing teeth (p = 0.007). The subjects in the BIG replied that cleaning desks and eating are highly necessary abilities for the external robotic arm; and transfer and wheelchair control, for exoskeletons. In the BIG, the exoskeleton showed significantly higher necessity than the external robotic arms in dressing (p = 0.010), making phone calls (p = 0.026), using a smartphone (p = 0.011), and writing (p = 0.005). The practical demands of potential users were affected by laterality and robot type. Further robot developments should involve essential functions based on the survey results to meet end-user needs.
Từ khóa
Tài liệu tham khảo
Maciejasz, 2014, A survey on robotic devices for upper limb rehabilitation, J. Neuroeng. Rehabil., 11, 3, 10.1186/1743-0003-11-3
Mehrholz, 2015, Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke, Cochrane Database Syst. Rev., 11, CD006876
Maheu, 2011, Evaluation of the JACO robotic arm: Clinico-economic study for powered wheelchair users with upper-extremity disabilities, IEEE. Int. Conf. Rehabil. Robot., 2011, 5973597
Sale, 2014, Effects of upper limb robot-assisted therapy on motor recovery in subacute stroke patients, J. Neuroeng. Rehabil., 11, 104, 10.1186/1743-0003-11-104
Blanco, 2014, Three-dimensional, task-specific robot therapy of the arm after stroke: A multicentre, parallel-group randomised trial, Lancet Neurol., 13, 159, 10.1016/S1474-4422(13)70305-3
Masiero, 2014, Randomized trial of a robotic assistive device for the upper extremity during early inpatient stroke rehabilitation, Neurorehabil. Neural Repair, 28, 377, 10.1177/1545968313513073
Mehrholz, 2013, Electromechanical-assisted training for walking after stroke, Cochrane Database Syst. Rev., 7, CD006185
Babaiasl, 2016, A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke, Disabil. Rehabil. Assist. Technol., 11, 263
Lajeunesse, 2015, Exoskeletons’ design and usefulness evidence according to a systematic review of lower limb exoskeletons used for functional mobility by people with spinal cord injury, Disabil. Rehabil. Assist. Technol., 11, 535, 10.3109/17483107.2015.1080766
Wall, 2015, Clinical application of the Hybrid Assistive Limb (HAL) for gait training-a systematic review, Front. Syst. Neurosci., 9, 48, 10.3389/fnsys.2015.00048
Bedaf, 2015, Overview and Categorization of Robots Supporting Independent Living of Elderly People: What Activities Do They Support and How Far Have They Developed, Assist. Technol., 27, 88, 10.1080/10400435.2014.978916
Jarrasse, 2014, Robotic exoskeletons: A perspective for the rehabilitation of arm coordination in stroke patients, Front. Hum. Neurosci., 8, 947
Collinger, 2013, High-performance neuroprosthetic control by an individual with tetraplegia, Lancet, 381, 557, 10.1016/S0140-6736(12)61816-9
Kwak, 2015, A lower limb exoskeleton control system based on steady state visual evoked potentials, J. Neural. Eng., 12, 056009, 10.1088/1741-2560/12/5/056009
Kim, 2015, A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals, Biomed. Eng. Online, 14, 81, 10.1186/s12938-015-0075-8
Shah, 1989, Improving the sensitivity of the Barthel Index for stroke rehabilitation, J. Clin. Epidemiol., 42, 703, 10.1016/0895-4356(89)90065-6
Chumney, 2010, Ability of Functional Independence Measure to accurately predict functional outcome of stroke-specific population: Systematic review, J. Rehabil. Res. Dev., 47, 17, 10.1682/JRRD.2009.08.0140
Collinger, 2013, Functional priorities, assistive technology, and brain-computer interfaces after spinal cord injury, J. Rehabil. Res. Dev., 50, 145, 10.1682/JRRD.2011.11.0213
Huggins, 2015, What would brain-computer interface users want: Opinions and priorities of potential users with spinal cord injury, Arch. Phys. Med. Rehabil., 96, S38, 10.1016/j.apmr.2014.05.028
Huggins, 2011, What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis, Amyotroph. Lateral Scler., 12, 318, 10.3109/17482968.2011.572978
Watkins, 2002, Prevalence of spasticity post stroke, Clin. Rehabil., 16, 515, 10.1191/0269215502cr512oa
Nam, 2015, Efficacy and safety of NABOTA in post-stroke upper limb spasticity: A phase 3 multicenter, double-blinded, randomized controlled trial, J. Neurol. Sci., 357, 192, 10.1016/j.jns.2015.07.028
Zorowitz, 2013, Poststroke spasticity: Sequelae and burden on stroke survivors and caregivers, Neurology, 80, S45, 10.1212/WNL.0b013e3182764c86
Daly, 2005, Response to upper-limb robotics and functional neuromuscular stimulation following stroke, J. Rehabil. Res. Dev., 42, 723, 10.1682/JRRD.2005.02.0048
Conroy, 2011, Effect of gravity on robot-assisted motor training after chronic stroke: A randomized trial, Arch. Phys. Med. Rehabil., 92, 1754, 10.1016/j.apmr.2011.06.016
McCabe, 2015, Comparison of robotics, functional electrical stimulation, and motor learning methods for treatment of persistent upper extremity dysfunction after stroke: A randomized controlled trial, Arch. Phys. Med. Rehabil., 96, 981, 10.1016/j.apmr.2014.10.022
Anderson, 2004, Targeting recovery: Priorities of the spinal cord-injured population, J. Neurotrauma, 21, 1371, 10.1089/neu.2004.21.1371
Nam, H.S., Lee, W.H., Seo, H.G., Kim, Y.J., Bang, M.S., and Kim, S. (2019). Inertial Measurement Unit Based Upper Extremity Motion Characterization for Action Research Arm Test and Activities of Daily Living. Sensors, 19.
Tanaka, 2013, Development of Assistive Robots Using International Classification of Functioning, Disability, and Health: Concept, Applications, and Issues, J. Robot., 608191, 1