Research on Terrain Identification of the Smart Prosthetic Ankle by Fuzzy Logic

Chang, Minsu; Kim, Kyoungsoon; Jeon, Doyoung

doi:10.1109/tnsre.2019.2933874

Cited by 17 publications

(15 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Finally, a digital system processor or microcontroller is required to receive, interpret, and perform actions. Bartlett et al (2021); Chang et al (2019) used an interface between the prosthetic system and a computer to perform easier debugging. However, for more advanced systems such as the ones in Figure 5, an embedded microcontroller or processor is required for online sensing and control.…”

Section: Electronic Subsystemmentioning

confidence: 99%

“…The device IMUs can help optimize the user fitting and alignment and track changes in gait speed over time via different algorithms ( Bastas et al., 2018 ). The sensor can help track and estimate the locomotion trajectory on the knee or ankle depending on the type of terrain where the user is walking ( Chang et al., 2019 ; Su et al., 2019 ; Elery et al., 2020 ; Gaetani et al., 2020 ; Pi et al., 2020 ; Khademi and Simon, 2021 ; Lee et al., 2021 ).…”

Section: Prosthetic Elementsmentioning

confidence: 99%

“…By Newton’s third law, when a person is standing, the GRF will be weight; however, acceleration forces change when moving, usually when working together with a treadmill with plaques or force sensors, such as flexiforce ( Peng et al., 2020b ) and M3715C ( Gao et al., 2021 ), on the feet of users ( Jiang et al., 2019 ; Lee et al., 2021 ) to detect torque changes with gait variations. GRF has been used to analyse the biomechanics of a non-amputee and compare it with how locomotion changes after amputation when walking with different prostheses ( Chang et al., 2019 ; Jiang et al., 2019 ; Zhang et al., 2019 ; Peng et al., 2020b ; Mendez et al., 2020 ; Pi et al., 2020 ; Gao et al., 2021 ; Lee et al., 2021 ; Leestma et al., 2021 ).…”

Section: Prosthetic Elementsmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: Electronic Subsystemmentioning

confidence: 99%

Section: Prosthetic Elementsmentioning

confidence: 99%

Section: Prosthetic Elementsmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Various studies have reported using the active prosthesis by utilizing sensors and actuators to control ankle angle that overcome the limitation of a passive prosthesis. Chang et al [10] suggested a terrain identification method using fuzzy-logic to implement an intelligent prosthetic ankle system that automatically controls its ankle angle to assist the transtibial amputee's gait. In the rehabilitation field, gait phase detection also plays a role in predicting falls This article is part of the topical collection "Intelligent Systems" guest edited by Geetha Ganesan, Lalit Garg, Renu Dhir, Vijay Kumar, and Manik Sharma.…”

Section: Introductionmentioning

confidence: 99%

A Standalone Real-Time Gait Phase Detection Using Fuzzy-Logic Implementation in Arduino Nano

et al. 2021

View full text Add to dashboard Cite

This paper presents a real-time standalone computing system's design and development using an Arduino Nano controller for human gait phase detection. It acquires the lower limb segment angles using 3-inertial measurement units and foot insole-based force data using 2-force sensitive resistor sensors for each leg. Arduino IDE-based algorithms are designed to get thigh, shank, and foot angles using the I2C protocol. The force information is achieved using an insole that gathers data from the heel and toe regions. A fuzzy logic-based algorithm is developed in the Arduino IDE for the detection of 7-gait phases. MATLAB's neuro-fuzzy designer toolbox is utilized to obtain a rule base for these gait phases. The results showed that the present system gives a prediction accuracy of 89.65 (± 3)% that is good enough, along with a 20 ms prediction time to make it real-time gait phase detection. This study finds the application of a fuzzy-logic algorithm for real-time control of the ankle-foot prosthesis in an open space using a standalone system with an amputee.

show abstract

“…Más enfocados a la implementación de esquemas de control, la estructura de programación más común y usada es la llamada Maquina de Estados Finita (en adelante, MEF) definida como una abstracción computacional que detalla el funcionamiento de un sistema, por medio de un número establecido de estados y de transiciones entre tales estados (Czerwinski and Kania, 2013). En (Ficanha et al, 2015) se probó una MEF con cuatro estados para la actividad de trotar y correr, mientras que en (Chang et al, 2019) se utiliza un algoritmo de lógica difusa para detectar el tipo de terreno en el que se encuentra la prótesis para adaptar sus movimientos. En (Dong et al, 2020) la prótesis contiene una MEF con seis estados que tiene a su vez programado un algoritmo de control para modificar el par ejercido.…”

unclassified

Instrumentación de un prototipo transtibial para replicar el ciclo de marcha en tobillo

Palma-Huerta

Lozano-Hernández

Serrano-Molina

et al. 2022

ICBI

View full text Add to dashboard Cite

El presente trabajo describe la instrumentación eléctrica y electrónica de un prototipo protésico diseñado para una amputación transtibial a nivel del tercio superior, la instrumentación propuesta se integra a un mando central que tiene como elemento principal a un microprocesador Raspberry Pi Zero W. El prototipo cuenta con características mínimas viables que le permiten reproducir el movimiento del tobillo durante el ciclo de marcha. Para validar la instrumentación propuesta, se hace uso de una máquina de estados y un controlador tipo PD, ambos se implementaron de forma embebida en el microprocesador mediante el uso de un lenguaje multiplataforma de código abierto. Por último, se muestran los resultados del seguimiento de la trayectoria del tobillo durante el ciclo de marcha.

show abstract

Research on Terrain Identification of the Smart Prosthetic Ankle by Fuzzy Logic

Cited by 17 publications

References 19 publications

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

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

A Standalone Real-Time Gait Phase Detection Using Fuzzy-Logic Implementation in Arduino Nano

Instrumentación de un prototipo transtibial para replicar el ciclo de marcha en tobillo

Contact Info

Product

Resources

About