User-Adaptive Assistance of Assistive Knee Braces for Gait Rehabilitation

Robot-assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty

To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily activity ability of older adults following total knee arthroplasty (TKA). Eighty-eight patients who underwent TKA were randomly assigned to a robot-assisted rehabilitation or traditional therapy group. The patients in the control group were treated with traditional manual rehabilitation therapy, while the patients in the experimental group were subjected to the robot-assisted rehabilitation program. Range of motion of the knee joint, Hospital for Special Surgery Knee Rating Score, and the modified Barthel Index were assessed on the first or second day after TKA (preintervention) and the discharge day (postintervention). Additionally, the length of hospital stay and related hospitalization expenses of the two groups were collected on the discharge day. Improvements in the active range of motion (p < 0.001), passive range of motion (p = 0.001), Hospital for Special Surgery Knee Rating Score (p < 0.001), and modified Barthel Index score (p = 0.004) were significantly better in the robot-assisted rehabilitation group than in the traditional therapy group. Interestingly, the length of hospital stay in the experimental group (9 days) was shorter than that in the control group (13 days), and the total cost of hospitalization was lower (p = 0.002). The robot-assisted rehabilitation training program is an effective intervention that significantly improves the daily activity ability and knee function of older adults following TKA.

Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals

Assistive technology for the differently abled and older adults has made remarkable achievements in providing rehabilitative, adaptive, and assistive devices. It provides huge assistance for people with physical impairments to lead a better self-reliant daily life, in terms of mobility, education, rehabilitation, etc. This technology ranges from simple hand-held devices to complex robotic accessories which promote the individual's independence. This study aimed at identifying the assistance required by differently-abled individuals, and the solutions proposed by different researchers, and reviewed their merits and demerits. It provides a detailed discussion on the state of art assistive technologies, their applications, challenges, types, and their usage for rehabilitation. The study also identifies different unexplored research areas related to assistive technology that can improve the daily life of individuals and advance the field. Despite their high usage, assistive technologies have some limitations which have been briefly described in the study. This review, therefore, can help understand the utilization, and pros and cons of assistive devices in rehabilitation engineering and assistive technologies.

Design, Analysis, and Control of A User-Adaptive

This paper presents the design and preliminary evaluation of a user-adaptive ankle foot orthosis (AFO). To begin with, according to the foot dimensions of an able-bodied subject, the structures of the ankle orthotic device are conceived. Then, based on a common two-degree-of-freedom (DOF) foot model, the AFO-human system is set up; its kinematic model and the device's mechanism of user adaptation are analyzed. After that, the layout of a portable orthotic system, as well as a smart insole that detects gait phases, is illustrated. Finally, the orthotic system is tested on the aforementioned subject. Results show that, when assistive torque of the AFO is applied, the foot's plantarflexion magnitude before the swing stage and dorsiflexion magnitude during the swing stage approximately increase by 3 and 4 degrees, respectively. Therefore, the orthosis has the potential to aid propulsion motions and control toe clearance.

Coordination Between Partial Robotic Exoskeletons and Human Gait: A Comprehensive Review on Control Strategies

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.

Review of control strategies for lower-limb exoskeletons to assist gait

Background

Many lower-limb exoskeletons have been developed to assist gait, exhibiting a large range of control methods. The goal of this paper is to review and classify these control strategies, that determine how these devices interact with the user.

Methods

In addition to covering the recent publications on the control of lower-limb exoskeletons for gait assistance, an effort has been made to review the controllers independently of the hardware and implementation aspects. The common 3-level structure (high, middle, and low levels) is first used to separate the continuous behavior (mid-level) from the implementation of position/torque control (low-level) and the detection of the terrain or user’s intention (high-level). Within these levels, different approaches (functional units) have been identified and combined to describe each considered controller.

Results

291 references have been considered and sorted by the proposed classification. The methods identified in the high-level are manual user input, brain interfaces, or automatic mode detection based on the terrain or user’s movements. In the mid-level, the synchronization is most often based on manual triggers by the user, discrete events (followed by state machines or time-based progression), or continuous estimations using state variables. The desired action is determined based on position/torque profiles, model-based calculations, or other custom functions of the sensory signals. In the low-level, position or torque controllers are used to carry out the desired actions. In addition to a more detailed description of these methods, the variants of implementation within each one are also compared and discussed in the paper.

Conclusions

By listing and comparing the features of the reviewed controllers, this work can help in understanding the numerous techniques found in the literature. The main identified trends are the use of pre-defined trajectories for full-mobilization and event-triggered (or adaptive-frequency-oscillator-synchronized) torque profiles for partial assistance. More recently, advanced methods to adapt the position/torque profiles online and automatically detect terrains or locomotion modes have become more common, but these are largely still limited to laboratory settings. An analysis of the possible underlying reasons of the identified trends is also carried out and opportunities for further studies are discussed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12984-021-00906-3.

Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review

The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.