Intelligent Systems for Rehabilitation Engineering. Группа авторов

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Название Intelligent Systems for Rehabilitation Engineering
Автор произведения Группа авторов
Жанр Программы
Серия
Издательство Программы
Год выпуска 0
isbn 9781119785637



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stroke patients, and its prototype was also presented. It provided gait motion, training, and motivation. [40] Inflatable wearable robot The device was tested on stroke patients and showed less cardiac and muscular activity by the therapist.

      1.2.3 Biomechanical or Mechatronic Robotic Systems

      1.2.4 Human–Machine Interfacing

      Human–machine integration includes the tactics incorporated for better communication between machines and humans. The structure and implementation of CURL language, MUSIIC, RoboGlyph, and multitasking operator robotic system were presented [46]. The architecture of ARCHIN was produced whose task was to integrate machines with humans, and its performance was evaluated [47]. The perspective of human–machine interaction was presented, which included the issues faced by it and the solution to them [48].

      1.2.5 Smart Robotics

Ref. number Area of rehabilitation robotics explored Remarks
[49] 2D vision-based localization system The illustrated system could identify the light-emitting markers. The system was equipped with a web camera along with a human–machine interaction interface.
[50] Assistive rehabilitation robotics and smart homes The proposed methodology bridged the gap between these two aspects. The robotic systems extended the movement of patients and smart homes accessed their requirements and made necessary changes in itself.
[51] A novel algorithm for impaired patients’ therapy The proposed algorithm exploited the similarities between motor recovery and motor learning, which adopted with the patients as they recovered.
[52] Feed-forward neural network (FFNN) FFNN was used for predicting the EMG signals from eight shoulder muscles of patients.
[53] VR strategies VR was integrated with multimodal displays, which enhanced the performance and also provided feedback information to the patient and motivated the patients using additional audiovisual features.
[54] Neural networkingbased facial emotion interpreter Thermal images of persons who suffered from speech disorder were prepared, and then using a confusion matrix, its performance was evaluated.
[55] Decision-making ability Task-oriented robots were studied and were tested on BAXTER to check whether it was able to assist the person for training or not.

      Table 1.2 summarizes some of the work that presented smart robotics for rehabilitation purposes. The work done in VR and NN technologies will instigate future research in this field.

      1.2.6 Control and Stability Analysis of Robotic Systems

      Thus, Table 1.3 enlists some of the work done in the field of control theory and stability analysis associated with robotics employed for rehabilitation purposes.

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