Volitional control of an active prosthetic ankle: a survey

Redkar, Sangram; G, Sandesh Bhat

doi:10.15406/iratj.2018.04.00153

Cited by 3 publications

(3 citation statements)

References 35 publications

(73 reference statements)

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“…In such a control scheme, the amputee directly or indirectly interacts with the prosthesis to change its state. It can be based on intent recognition algorithms, or it can refer to the use of manual switches [92]. EMG signals are typically used for direct control of prosthetic arms and legs.…”

Section: Control Strategiesmentioning

confidence: 99%

Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses

Barberi,

Anselmino,

Mazzoni

et al. 2024

IEEE Rev. Biomed. Eng.

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The last few years witnessed radical improvements in lower-limb prostheses. Researchers have presented innovative solutions to overcome the limits of the first generation of prostheses, refining specific aspects which could be implemented in future prostheses designs. Each aspect of lower-limb prostheses has been upgraded, but despite these advances, a number of deficiencies remain and the most capable limb prostheses fall far short of the capabilities of the healthy limb. This paper describes the current state of prosthesis technology; identifies a number of deficiencies across the spectrum of lower limb prosthetic components with respect to users' needs; and discusses research opportunities in design and control that would substantially improve functionality concerning each deficiency. In doing so, the authors present a roadmap of patients related issues that should be addressed in order to fulfill the vision of a next-generation, neurally-integrated, highly-functional lower limb prosthesis.

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Section: Control Strategiesmentioning

confidence: 99%

Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses

Barberi,

Anselmino,

Mazzoni

et al. 2024

IEEE Rev. Biomed. Eng.

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“…The advantages and disadvantages of the different methods of reading human intentions are shown in Table 5. By using a different type of approach, volitional control/intent recognition, it is possible to lower the pressure on the pattern and motion recognition algorithms; however, as discussed in Redkar and Bhat G (2018) and Tucker et al (2015), this method requires high precision and focus from the user's site. Overcoming this issue requires a combination of volitional control on high-precision movements and pattern recognition for locomotion and gait changes.…”

Section: Customizable For Sensors and Other Actuatorsmentioning

confidence: 99%

Low limb prostheses and complex human prosthetic interaction: A systematic literature review

et al. 2023

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A few years ago, powered prostheses triggered new technological advances in diverse areas such as mobility, comfort, and design, which have been essential to improving the quality of life of individuals with lower limb disability. The human body is a complex system involving mental and physical health, meaning a dependant relationship between its organs and lifestyle. The elements used in the design of these prostheses are critical and related to lower limb amputation level, user morphology and human-prosthetic interaction. Hence, several technologies have been employed to accomplish the end user’s needs, for example, advanced materials, control systems, electronics, energy management, signal processing, and artificial intelligence. This paper presents a systematic literature review on such technologies, to identify the latest advances, challenges, and opportunities in developing lower limb prostheses with the analysis on the most significant papers. Powered prostheses for walking in different terrains were illustrated and examined, with the kind of movement the device should perform by considering the electronics, automatic control, and energy efficiency. Results show a lack of a specific and generalised structure to be followed by new developments, gaps in energy management and improved smoother patient interaction. Additionally, Human Prosthetic Interaction (HPI) is a term introduced in this paper since no other research has integrated this interaction in communication between the artificial limb and the end-user. The main goal of this paper is to provide, with the found evidence, a set of steps and components to be followed by new researchers and experts looking to improve knowledge in this field.

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“…In addition, magnetometer components are very sensitive to environmental ferromagnetic disturbances, which may cause a considerable amount of inaccuracy in IMU heading measurements . The definition of local coordinate systems, when comparing IMU‐based systems with OMC systems (considered as the gold standard), can carry influential biomechanical model differences which contribute into the poor estimation of lower hip joint angles in frontal and transverse planes compared with the sagittal plane . Furthermore, gyroscopes are sensitive to vibration shocks—typically occurring when feet hit the ground—and can affect the accuracy of tracking certain joints …”

Section: Introductionmentioning

confidence: 99%

Textile‐Based Inductive Soft Strain Sensors for Fast Frequency Movement and Their Application in Wearable Devices Measuring Multiaxial Hip Joint Angles during Running

Tavassolian

Cuthbert

Napier

et al. 2020

Advanced Intelligent Systems

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Wearable multiaxes motion tracking with inductive sensors and machine learning is presented. The production, characterization, and use of a modular and sizeadjustable inductive sensor for kinematic motion tracking are introduced. The sensor is highly stable and able to track high-frequency (>15 Hz) and high strain rates (>450% s À1 ). Four sensors are used to fabricate a pair of motion capture shorts. A random forest machine learning algorithm is used to predict the sagittal, transverse, and frontal hip joint angle, using the raw signals from sport shorts during running with a cohort of 12 participants against a gold standard optical motion capture system to an accuracy as high as R 2 ¼ 0.98 and root mean squared error of 2 in all three planes. Herein, an alternative strain sensor is provided to those typically used (piezoresistive/capacitive) for soft wearable motion capture devices with distinct advantages that can find applications in smart wearable devices, robotics, or direct integration into textiles.

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Volitional control of an active prosthetic ankle: a survey

Cited by 3 publications

References 35 publications

Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses

Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses

Low limb prostheses and complex human prosthetic interaction: A systematic literature review

Textile‐Based Inductive Soft Strain Sensors for Fast Frequency Movement and Their Application in Wearable Devices Measuring Multiaxial Hip Joint Angles during Running

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