Title |
Mechatronic Wearable Exoskeletons for Bionic Bipedal Standing and Walking: A New Synthetic Approach
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Published in |
Frontiers in Neuroscience, September 2016
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DOI | 10.3389/fnins.2016.00343 |
Pubmed ID | |
Authors |
Gelu Onose, Vladimir Cârdei, Ştefan T. Crăciunoiu, Valeriu Avramescu, Ioan Opriş, Mikhail A. Lebedev, Marian Vladimir Constantinescu |
Abstract |
During the last few years, interest has been growing to mechatronic and robotic technologies utilized in wearable powered exoskeletons that assist standing and walking. The available literature includes single-case reports, clinical studies conducted in small groups of subjects, and several recent systematic reviews. These publications have fulfilled promotional and marketing objectives but have not yet resulted in a fully optimized, practical wearable exoskeleton. Here we evaluate the progress and future directions in this field from a joint perspective of health professionals, manufacturers, and consumers. We describe the taxonomy of existing technologies and highlight the main improvements needed for the development and functional optimization of the practical exoskeletons. |
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Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 25% |
Portugal | 1 | 25% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Ireland | 1 | 1% |
Unknown | 76 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 15 | 19% |
Researcher | 10 | 13% |
Student > Bachelor | 9 | 12% |
Student > Master | 8 | 10% |
Student > Postgraduate | 4 | 5% |
Other | 11 | 14% |
Unknown | 20 | 26% |
Readers by discipline | Count | As % |
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Engineering | 23 | 30% |
Medicine and Dentistry | 10 | 13% |
Nursing and Health Professions | 6 | 8% |
Materials Science | 3 | 4% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 10 | 13% |
Unknown | 23 | 30% |