TY - GEN
T1 - Biological Signals for the Control of Robotic Devices in Rehabilitation
T2 - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
AU - Huamanchahua, Deyby
AU - Huaman-Levano, Luis Alberto
AU - Asencios-Chavez, Jose
AU - Caballero-Canchanya, Nicole
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Biological signals have been extensively studied for disease diagnosis, treatment, and biomedical research to know the patient's health status; however, the potential of these signals goes beyond diagnosis, to the point that they can be used for more precise control of robotic devices in rehabilitation. The purpose of this article is to document a systematic review of the applications of biological signals such as EMG, EEG, and EOG for the development of these devices. The objective is to provide the researcher with a matrix that integrates the types of signals, sensors, and related components for the implementation of robotic devices in rehabilitation. As a method, different databases and specialized search engines were used to collect the information from 2019 to 2021. All the investigations found were selected, 27 being selected. Finally, it is concluded that there are different applications of biological signals for manipulation. of prostheses, orthoses, and robotic devices, which allows continuing the development of these that allow a better rehabilitation to the patient.
AB - Biological signals have been extensively studied for disease diagnosis, treatment, and biomedical research to know the patient's health status; however, the potential of these signals goes beyond diagnosis, to the point that they can be used for more precise control of robotic devices in rehabilitation. The purpose of this article is to document a systematic review of the applications of biological signals such as EMG, EEG, and EOG for the development of these devices. The objective is to provide the researcher with a matrix that integrates the types of signals, sensors, and related components for the implementation of robotic devices in rehabilitation. As a method, different databases and specialized search engines were used to collect the information from 2019 to 2021. All the investigations found were selected, 27 being selected. Finally, it is concluded that there are different applications of biological signals for manipulation. of prostheses, orthoses, and robotic devices, which allows continuing the development of these that allow a better rehabilitation to the patient.
KW - Biological signal
KW - Controller type
KW - Robotic device
KW - Sensors
KW - TRL
UR - http://www.scopus.com/inward/record.url?scp=85133834500&partnerID=8YFLogxK
U2 - 10.1109/IEMTRONICS55184.2022.9795719
DO - 10.1109/IEMTRONICS55184.2022.9795719
M3 - Conference contribution
AN - SCOPUS:85133834500
T3 - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
BT - 2022 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
A2 - Gill, Bob
A2 - Gangopadhyay, Malay
A2 - Poddar, Sanghamitra
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 June 2022 through 4 June 2022
ER -