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1.
Front Bioeng Biotechnol ; 11: 1188685, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-37485319

RESUMEN

Assistive ankle-foot orthoses (AAFOs) are powerful solutions to assist or rehabilitate gait on humans. Existing AAFO technologies include passive, quasi-passive, and active principles to provide assistance to the users, and their mechanical configuration and control depend on the eventual support they aim for within the gait pattern. In this research we analyze the state-of-the-art of AAFO and classify the different approaches into clusters, describing their basis and working principles. Additionally, we reviewed the purpose and experimental validation of the devices, providing the reader with a better view of the technology readiness level. Finally, the reviewed designs, limitations, and future steps in the field are summarized and discussed.

2.
Front Bioeng Biotechnol ; 10: 842294, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35694226

RESUMEN

Lower-limb robotic exoskeletons have become powerful tools to assist or rehabilitate the gait of subjects with impaired walking, even when they are designed to act only partially over the locomotor system, as in the case of unilateral or single-joint exoskeletons. These partial exoskeletons require a proper method to synchronize their assistive actions and ensure correct inter-joint coordination with the user's gait. This review analyzes the state of the art of control strategies to coordinate the assistance provided by these partial devices with the actual gait of the wearers. We have analyzed and classified the different approaches independently of the hardware implementation, describing their basis and principles. We have also reviewed the experimental validations of these devices for impaired and unimpaired walking subjects to provide the reader with a clear view of their technology readiness level. Eventually, the current state of the art and necessary future steps in the field are summarized and discussed.

3.
Front Neurol ; 12: 700600, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34434161

RESUMEN

Tremor is defined as a rhythmic, involuntary oscillatory movement of a body part. Although everyone exhibits a certain degree of tremor, some pathologies lead to very disabling tremors. These pathological tremors constitute the most prevalent movement disorder, and they imply severe difficulties in performing activities of daily living. Although tremors are currently managed through pharmacotherapy or surgery, these treatments present significant associated drawbacks: drugs often induce side effects and show decreased effectiveness over years of use, while surgery is a hazardous procedure for a very low percentage of eligible patients. In this context, recent research demonstrated the feasibility of managing upper limb tremors through wearable technologies that suppress tremors by modifying limb biomechanics or applying counteracting forces. Furthermore, recent experiments with transcutaneous afferent stimulation showed significant tremor attenuation. In this regard, this article reviews the devices developed following these tremor management paradigms, such as robotic exoskeletons, soft robotic exoskeletons, and transcutaneous neurostimulators. These works are presented, and their effectiveness is discussed. The article also evaluates the different metrics used for the validation of these devices and the lack of a standard validation procedure that allows the comparison among them.

4.
Annu Int Conf IEEE Eng Med Biol Soc ; 2019: 570-573, 2019 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-31945963

RESUMEN

Several robotic-based rehabilitation therapies for hemiparetic patients need from monitoring the healthy leg using ambulatory systems such as Inertial Measurement Units (IMUs). However the use of these sensors involves several drawbacks like numerical drift, instable measurements in presence of magnetic fields or crucial alignment of the sensors. Based on a recursive paradigm to estimate the rotational axis, we present in this paper an algorithm to estimate the knee angle based on geometrical constrains using an Extended Kalman Filter. We tested this algorithm in five heathy subjects and were able to reconstruct the waveform of the knee angle with an average rms error lower than 2°.


Asunto(s)
Algoritmos , Articulación de la Rodilla , Humanos
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