Experimental Study to Improve "Federica" Prosthetic Hand and Its Control System

被引:15
作者
Esposito, Daniele [1 ,2 ]
Cosenza, Chiara [3 ]
Gargiulo, Gaetano Dario [4 ]
Andreozzi, Emilio [1 ,2 ]
Niola, Vincenzo [3 ]
Fratini, Antonio [5 ]
D'Addio, Giovanni [2 ]
Bifulco, Paolo [1 ,2 ]
机构
[1] Univ Federico II Naples, Dept Elect Engn & Informat Technol, Via Claudio 21, I-80125 Naples, Italy
[2] Ist Clin Sci Maugeri Spa Soc Benefit, Via S Maugeri 4, I-27100 Pavia, Italy
[3] Univ Federico II Naples, Dept Ind Engn, Via Claudio 21, I-80125 Naples, Italy
[4] Western Sydney Univ, MARCS Inst, Penrith, NSW 2751, Australia
[5] Aston Univ, Sch Life & Hlth Sci, Birmingham B4 7ET, W Midlands, England
来源
XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019 | 2020年 / 76卷
关键词
Underactuated prosthetic hand; Muscle contraction sensors; Kinematic analysis;
D O I
10.1007/978-3-030-31635-8_70
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Modern 3D printing technologies and wide availability of microcontroller boards allow to make active prosthetic devices in a simple way. This is the case of "Federica", a very low-cost, under-actuated, active hand prosthesis. The five fingers of the prosthesis are moved by a single motor through inelastic tendons. The control system of the prosthesis is proportional to muscle contraction: firstly, EMG was used, then mechanical sensors that measure muscle volumetric variation were successfully utilized. This prosthesis proved to be particularly energy efficient and fast; it provided a general grasp function by adapting the exerted forces, thus allowing to easily catch even deformable objects. This study presents further analyses and design improvements of this prosthesis. In particular, a new, extremely simple but effective conditioning system of a force sensor resistor was presented and tested. In addition, the actual three-dimensional kinematics of a single finger was captured by means of high frame rate cameras and then analyzed. The new sensor conditioning system was characterized. It proved to be as effective as the EMG envelope to proportionally control the hand prosthesis motion, and it allowed an easier connection to common microcontroller boards. Kinematic analysis allowed to accurately reconstruct the actual phalanges motion over time.
引用
收藏
页码:586 / 593
页数:8
相关论文
共 17 条
[1]  
Amrutha N., 2017, International Journal of Scientific and Research Publications, V7, P23
[2]  
[Anonymous], 1985, Muscle Alive: Their Functions Revealed by Electromyographic
[3]  
Bifulco P, 2017, E-HEALTH BIOENG CONF, P173, DOI 10.1109/EHB.2017.7995389
[4]  
Bifulco P., 2011, Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on, P469
[5]   Underactuated Finger Behavior Correlation Between Vision System Based Experimental Tests and Multibody Simulations [J].
Cosenza, Chiara ;
Niola, Vincenzo ;
Savino, Sergio .
MECHANISM DESIGN FOR ROBOTICS, 2019, 66 :49-56
[6]   A mechanical hand for prosthetic applications: multibody model and contact simulation [J].
Cosenza, Chiara ;
Niola, Vincenzo ;
Savino, Sergio .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2018, 232 (08) :819-825
[7]   A Piezoresistive Sensor to Measure Muscle Contraction and Mechanomyography [J].
Esposito, Daniele ;
Andreozzi, Emilio ;
Fratini, Antonio ;
Gargiulo, Gaetano D. ;
Savino, Sergio ;
Niola, Vincenzo ;
Bifulco, Paolo .
SENSORS, 2018, 18 (08)
[8]   Wearable Dry Sensors with Bluetooth Connection for Use in Remote Patient Monitoring Systems [J].
Gargiulo, Gaetano ;
Bifulco, Paolo ;
Cesarelli, Mario ;
Jin, Craig ;
McEwan, Alistair ;
Van Schaik, Andre .
GLOBAL TELEHEALTH, 2010, 161 :57-65
[9]   Dry electrode Bio-potential Recordings [J].
Gargiulo, Gaetano ;
Bifulco, Paolo ;
McEwan, Alistair ;
Tehrani, Joubin Nasehi ;
Calvo, Rafael A. ;
Romano, Maria ;
Ruffo, Mariano ;
Shephard, Richard ;
Cesarelli, Mario ;
Jin, Craig ;
Mohamed, Armin ;
van Schaik, Andre .
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, :6493-6496
[10]   A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions [J].
Nazmi, Nurhazimah ;
Rahman, Mohd Azizi Abdul ;
Yamamoto, Shin-Ichiroh ;
Ahmad, Siti Anom ;
Zamzuri, Hairi ;
Mazlan, Saiful Amri .
SENSORS, 2016, 16 (08)