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Perspective

Can Prosthetic Hands Mimic a Healthy Human Hand?

by
Ka Ho Ng
1,†,
Vaheh Nazari
2,† and
Monzurul Alam
1,*
1
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
2
Faculty of Medical Sciences and Technologies, Islamic Azad University-Science and Research Branch, Tehran, Iran
*
Author to whom correspondence should be addressed.
†
Authors contributed equally.
Prosthesis 2021, 3(1), 11-23; https://doi.org/10.3390/prosthesis3010003
Submission received: 23 December 2020 / Revised: 22 January 2021 / Accepted: 25 January 2021 / Published: 28 January 2021
(This article belongs to the Special Issue Neural Communication Interface for Neuroprosthesis and Its Implementation)
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Abstract

:
Historical evidence suggests that prostheses have been used since ancient Egyptian times. Prostheses were usually utilized for function and cosmetic appearances. Nowadays, with the advancement of technology, prostheses such as artificial hands can not only improve functional, but have psychological advantages as well and, therefore, can significantly enhance an individual’s standard of living. Combined with advanced science, a prosthesis is not only a simple mechanical device, but also an aesthetic, engineering and medical marvel. Prosthetic limbs are the best tools to help amputees reintegrate into society. In this article, we discuss the background and advancement of prosthetic hands with their working principles and possible future implications. We also leave with an open question to the readers whether prosthetic hands could ever mimic and replace our biological hands.

1. Introduction

Prostheses have been in our lives since the ancient times and have made a significant impact in our living [1,2]. They were primarily utilized for function and cosmetic appearance [3]. Today, owing to the advancement of technology, artificial hands can not only improve functional, but also psychological well-being [4].
It is needless to say how important are human hands for performing sophisticated movements and enabling human beings to communicate with their surroundings and do most daily activities like feeding, washing and so forth. Therefore, it is possible to regain missing functions with a prosthetic limb to enhance the quality of life of the amputee [5]. Although prostheses are able to assist amputees in retrieving the ability of hands, developing an artificial hand capable of mimicking a natural human hand still remains a challenge.
Patients would be able to have intuitive control over the prosthetic device through a broad range of orders. Utilizing the device would guarantees the safety of patients as well as provide a natural appearance. Neural activity-based prosthesis could be more intuitive and natural since they would be user-centered [6]. However, commonly used prosthetic hands utilize surface electromyography (sEMG) signals from the residual muscles to control them [7].
Although commercial myoelectric prostheses can simulate many human gestures with help from microprocessors, they commonly lack sensory feedback. Without sensory feedback, myoelectric prosthesis users do not have the tactile sense they need to control their prostheses [8]. Hence, the control is done by visual feedback. These days, providing wearable artificial limbs with advanced tactile perceptions and artificial skins, and facilitating dexterous exploration and interaction with the environment, remains challenging. To bridge the technological gap between artificial and biological skin, several efforts have been made recently [9]. To have the beneficial effect of capturing touch and acquiring real-time tactile information, an electronic skin (e-skin) can be applied onto the prosthesis [10]. Comprehensive somatosensory feedback can be transmitted from the prosthesis to the user, which thereby closes the loop in a myoelectric artificial limb.
The ultimate aim is to construct an artificial extremity that can evoke conscious sensation and execute sophisticated motor functions. A common limitation that the majority of the prostheses share is that they are open-loop systems, lacking proprioceptive feedback which thereby affects the full functionality of the natural limb or organ [11]. There have been several attempts, with variable and minimal success, to provide feedback. Newer techniques include sensory regenerative peripheral nerve interfaces, targeted sensory reinnervation, engineered neural interfaces and optogenetics [12]. Via feedback, these methods will dramatically pave the way for more intuitive prosthetic control.

2. Current Prosthetic Hands

Reinhold Reiter created the first actively controlled therapeutic myoelectric prosthesis (Figure 1) in the early 1940s [13]. Since then, a variety of prostheses have been developed, but have been restricted by cost, weight and unattractive appearance, which caused them to be unacceptable in the mainstream [14]. Global design efforts strive for innovative developments in 3D-printed prosthetic devices with practical and psychological impacts. Their main concern to meet social and cultural needs, however, has restricted the designers’ ability to address the demands of the global community [15].
Some wide initiatives on dexterity and intelligent prosthetics were launched with the rise of bio-mechatronics technology. These designs include bebionics generated by Ottobock (Leeds, United Kingdom), LUKE/DEKA Arm (Salt Lake, UT, USA), CyberHand (Pisa, Italy), SmartHand (Lund, Sweden and Pisa, Italy) and Neurobotics (Seattle, WA, USA). Ottobock, for instance, developed a multidegree of freedom robotic hand called bebionic 3 (Figure 2), controlled with a force myography (FMG) sensing technique. With 14 different grip styles and hand configurations, this robot helps patients perform activities of daily living (ADL), such as fixing shoelaces, holding luggage, opening doors, eating, flipping on lights, texting and more [16].
A16 degrees of freedom (DOF) SmartHand prosthesis was created by the ARTS Lab at Scuola Superiore Sant’Anna, Pisa, Italy [17]. The delivery of prosthesis actuation based on four DC motors and tendon transmission helps the hand to execute core grasping tasks useful in everyday living activities (Figure 3) [18]. The artificial hand is fitted with a customized palm-embedded control architecture to move its actuators in multiple control modes and share proprioceptive and exteroceptive sensory inputs from the external world. The hand fingers typically contain 32 locations, force and tactile sensors, all of which are obtained from the local controller and are capable of providing input to patients through suitable interfaces.
Revolutionizing Prosthetics (Figure 4) is a DARPA (Arlington, VA, USA)-funded project that develops neurally-integrated upper limb prostheses which can be controlled by the patients using neural pathways [19]. Applied physical laboratory (APL), Baltimore, MD, USA, of the Johns Hopkins University is leading the project. Their prosthesis is a mixture of sensors, actuators, neuroscience and complex software with the goal of creating a novel prosthesis [20]. Despite their serious injuries, the modular prosthetic limbs allow upper extremity amputees to perform ADL [21,22].
The University of Utah has also developed a prototype arm called LUKE (Figure 5), which has the ability to interact with the nerves of the amputee and introduce touch into prosthesis through the use of advanced interfaces between the machine and body [24]. The Utah group spent hours studying 200 to 300 implanted electrodes into the nerves, and 32 electrodes implanted into individual muscles, to map the muscles’ and nerves’ roles in upper arm movement and feeling.
There have been many prosthetic hands developed in recent years with different functionalities, all of which aim towards a single objective—to mimic complex hand functions. Table 1 summarizes different features and components of a number of recently developed prosthetic hands.

3. Conventional Socketed Myoelectric Prosthetic Hand Action

Under generality and safety issues, most of the prosthetic companies tend to produce noninvasive myoelectric prosthetic hands. The most common technique to operate the artificial hand is capturing surface EMG. EMG signals can be obtained on the remaining part of the arm without any implantation or invasion [25]. As EMG does not require installation by surgery, it is comparably at low risk and has higher acceptance by the amputees.
Generally, two or three electrodes are attached to the prosthetic socket for the activity of the prosthetic hand, leading to the capture of the electromyography (EMG) signal from the electrical actions of the excitable muscle cells. The EMG signal is then amplified (1000×) and bandpass filtered (20–500 Hz) by an analog amplifier before sampling at 1 khz [26]. The digitized EMG signal is further processed online for detecting the user’s intent. Commonly used EMG envelope detection steps are show in Figure 6. The microprocessor of the myoelectric arm then drives the motors of the arm/hand joint to complete the various and dexterous actions based on the detected signals. Therefore, the myoelectric prosthesis can achieve the aim of the human-computer interface.
However, due to the no-invasive process, these kinds of commercial myoelectric prosthetic arms lack the capability of a real human arm. Since the electrodes are sensitive to the surface action potentials, changes in electrode-skin impedance and electrode dislocation affect the signal quality [28]. In other words, due to the superficial EMG signal and the concern of signal feature, they cannot receive noiseless signals. Noise arises from sweating, location of electrodes or noise from other muscles affecting the performance. In addition, users cannot manipulate their joint movement in a sophisticated way and are required to receive a great deal of training. Furthermore, these prostheses cannot provide the users with bionic tactile feedback. Therefore, many researchers aim to study the neuromusculoskeletal arm which can directly and successfully capture the signal information from the nerve or muscle [28,29].

4. Futuristic Prosthetic Hand

Somatosensory stimuli are integral components of our sensorimotor behaviors such as touch and proprioception. Loss of somatosensory perception limits our ability to control motor function [8]. Due to developments in neural interface technologies and the discoveries of their critical role in improving the functionality of prosthetic limbs for amputees, research into somatosensory neural prostheses has advanced rapidly in recent decades.
Somatosensory information is carried from the periphery to the brain through ascending neural pathways in an intact nervous system. The lack of somatosensory inputs is an interruption in the neuronal pathways. Artificial sensors must be designed to acquire the interactive variables of the prosthesis to restore lost sensory function, and a neural interface must be created to deliver sensory information to the neural system above the interruption level. Tactile input from the fingers proves to be important in prosthetic hands for amputees for gripping functions, as well as for restoring a sense of embodiment of the prosthetic hand [24,30]. The difficulty of interfacing with the nervous system, extending from the skin to the peripheral nerve, spinal cord, and cerebral cortex, is addressed by different methods [31]. Based on the particular locations in the ascending neural pathway, various interface technologies have been developed to relay external information. For example, basic mechanical sensation or transcutaneous electrical nerve stimulation through the skin of the body can elicit more simplistic senses corresponding to various types of cutaneous receptors including touch, pressure, buzz, vibration, numbness and tingling sensations. In addition, several kinds of stimulation electrodes can be inserted at different positions in the somatosensory system from peripheral nerves to the cerebral cortex. In the peripheral nervous system, for instance, embedded microelectrode stimulation may elicit flutter-vibration, pain, contact, joint motion, and location in or on peripheral nerves (Figure 7) [32].
The new neural interface gives greater access to the sensory fibers in the dorsal root ganglia or in the ascending spinal sensory tracts at the level of the spinal cord. The somatosensory cortex is a direct target in the brain to elicit various forms of sensations such as squeeze, tap, pinch, press, motion, vibration, and goose bumps, in response to particular stimuli at specific areas of the body. It has also been shown that the sense of contact or vibration on individual fingers can be elicited by intracortical microstimulation of the primary somatosensory cortex [33]. Many factors need to be closely balanced for interfacing with the nervous system. This involve the naturalness and accuracy of the details about body parts, sensation modalities, interface stability, level of body invasion, implantation and surgery and, therefore, when applied to these sites for the provision of sensory input, each interface technology should be carefully assessed in relation to these considerations [34].
In 2020, Max Ortiz-Catalan et al. introduced a prosthesis with sensory and motor elements anchored in the bone for patients with transhumeral amputation [34]. Bidirectional interaction between the prosthetic hand and implanted electrodes in the muscles and nerves of the upper arm was made possible by implantation and anchored by osseointegration to the humerus (Figure 8) [34].
In order to detect signals from the patient’s voluntary contraction in the remaining muscles, electrodes were inserted into the epimysium of the triceps and the biceps muscles so as to apply motion motors in the prosthetic side. Moreover, they placed a spiral cuff electrode around the ulnar nerve and an additional electrode around the median nerve to acquire sensory feedback. By electrically activating the afferent nerve fibers that had been cut in the amputation, the patients were provided with tactile sensory input by prosthetic sensors.
With the use of a titanium screw gets inserted between the bone (the fixture) and the abutment, prosthetic limbs may be anchored in the bone at the amputation stump. The new central screw and abutment screw can be made up of feed-through connectors that allow wired electrical contact from inside to outside the body. To evaluate the functionality of the electrodes and the communication interface, the impedance of the electrodes can be monitored over-time.
Myoelectric activities of users were successfully recorded on the reinnervated muscles and increased in amplitude over-time [35]. At an early stage of applying the prostheses, patients were merely able to sense difference with over 50% increased or decreased frequency of stimulation. After a month of daily use of sensory feedback, it was observed that approximately 30% in the frequency of stimulation could be sensed as an increase or decrease in the difference of tactile sensation. Additionally, the electrode impedance increased for around five months after implantation, then remained relatively stable. After synchronization, patients documented beneficial impacts on their self-esteem, self-image and social relationships. Also, this self-contained neuromusculoskeletal arm prosthesis could relieve phantom limb pain.

5. 3D Printed Prosthetic Hand

Slow, unavailable, and prohibitively costly (ranging from a few to ten thousand dollars) are common features of conventional methods of producing prostheses [36]. With an added degree of flexibility and personalization, which are not traditionally used, the advancement of 3D printing technology allows prostheses to be manufactured cost-effectively [37]. 3D printing technology opens up new possibilities for its application in prosthetics. With the assistance of computer-aided design (CAD) techniques, it is possible to design and modify individual prosthetic devices very easily [38].
3D printing technology is attractive for rapid prototyping, and the components designed with this technology can be used as finished products. A number of open-source platforms, or start-ups, are working on the use of 3D printers in prosthesis development, particularly upper limb prostheses. These include HACKberry, KIT prosthetic hand, ADA hand, Brunel hand, OpenBionics and cyborg beast. Figure 9 shows some of these 3D printed prosthetic hands. There are several advantages of incorporating 3D printing technology in the production of artificial limbs, as prostheses require a highly individualized and versatile design approach and, if possible, low maintenance requirements and cost limitation [39]. In addition, for the 3D prosthetic hand, multiple control mechanisms are being incorporated to create a product with comparable features to the more advanced hands on the market, while at the same time ensuring that the hand remains cheaper than those currently available [40].
Unfortunately, through 3D printing alone, it is not yet feasible to get prostheses with the same degree of consistency as commercial ones. However, the manufacturing of materials and 3D printing technology appear to be similar to the standard of the design of traditional production forms [38].

6. Artificial Muscles

Due to motors and signal processors, myoelectric prosthetic limbs are usually heavy and difficult to control swiftly. Kanik et al. developed fiber based artificial muscles to increase performance and minimize the weight of the prosthetic limbs [42]. These actuators are controlled thermally and optically and have the ability to extend over 1000 percent of their length and lift 650 times heavier objects. These fibers were constituted by cyclic olefin copolymer elastomer (COCe) as well as high-density polyethylene (PE) blocks (25 mm by 8 mm cross-section, 200 mm long) and were covered by poly methyl methacrylate (PMMA) (Figure 10).
An experiment was carried out in which a single fiber muscle was able to raise a dumbbell of 1 g once the muscle was stimulated by a heat gun (10 °C) [42]. During multiple cycles of 2 s, with heat pulses divided by 6 s recesses during which the fiber muscle cooled down to room temperature for 6 s, this activity was reversible and repeatable. For temperature gradients above 50 °C, persistent deformation was observed.

7. Discussion and Conclusions

Over the last century, the production of prosthetic hands has come a long way. Currently, bionic hand prostheses have been established that are suitable for patients and robust, secure and convenient with improved functionality [43]. However, these prostheses also need to resolve major difficulties in order to mimic, or even progress, on the inherent side. Progress in the fields of biomedical engineering, robotics and artificial intelligence (AI) has provided a glimpse of hope for millions of amputees, and it is possible that there will be commercially accessible artificial limbs in the near future that have both feeling and precise motor coordination. Using AI in the branches of orthosis and prosthesis is in the primary stage and not widely applied. The bulk of AI projects have been used in prototypes that have not been marketed yet [44].
Techniques of prosthesis regulation can be found as adaptations to initial neural pathways. Imperfect recovery and unsolid cognitive knowledge should be augmented by other technological means to recover the missed information in the damaged neuromuscular system, when a great deal of data are lost in the affected region [45]. Neural signals from the central/peripheral nervous system (PNS/CNS) including, mechanomyography-MMG, EMG, electroneurography-ENG, electroencephalography-EEG, force myography-FMG and electrocorticography-ECoG, are obtained to recover missing data to allow hand gestures and dexterous movement of the prosthesis [46,47,48]. Out of the signals mentioned above, sEMG is considered to be the only biological signal currently accepted for medicinal applications and is distinguished by its low cost and noninvasive acquisition [46].
At present, there are several different methods of developing and manufacturing a prosthesis for the upper limbs. It is important to classify the techniques of managing a prosthesis into two categories: noninvasive and invasive [49]. The correlation of intracortical signals with the stimulation of the forearm muscles or nerves is an interesting example of an invasive technique. On the other hand, certain noninvasive concepts use electroencephalography (EEG) and electrooculographic (EOG), or a hybrid system, to operate and monitor the prosthesis. These principles are impressive, but they are scientifically challenging and are related to high costs and require a higher degree of learning effort for the user. Therefore, they are not suitable for every patient [50].
There have been several methods for controlling noninvasive prostheses, primarily by EMG or EEG signals. Additionally, in recent years, researchers have made significant attempts to utilize new technologies and to propose a new technique such as augmented reality (AR) glasses [51], inductive tongue control system (ITCS) [52], mechanomyography (MMG), voice commands and inertial measurement units (IMUs) to control prosthetic hands [49,53]. Some ideas, however, have demonstrated that even simplistic methods can deliver persuasive outcomes. Body-powered prostheses, e-Nable and Cyborg beast, for example, are very cost-effective and allow the patient to grip an object by rotating a portion of the body such as the shoulder or wrist [50].
The ultimate aim is to advance a prosthetic hand with sensory feedback, which is capable of closely imitating the real hand. High degrees of freedom in cutting-edge robotic arms resemble the fine flexibility of the hands [54]. Myoelectric prosthetic limbs are normally weighty and difficult to easily monitor because of the motors and signal processors. To reduce the weight of the prosthetic limbs and increase durability, artificial muscles have been introduced that can accelerate the evolution of robotic artificial limbs. Progresses in actuators based on polymers have created unparalleled capabilities, but the manufacture of these instruments with tunable measurements on a large scale remains a challenge [19]. The loss of sensation, however, remains the key limit to returning the normal limb’s maximum functionality. There have been many advancements towards a prosthetic device with progressive tactile input to the user with variable and restricted success, delivering dense, dispersed sensing of the tactile contact between the prosthesis and the environment, and transmitting this knowledge to the user through high-density electrotactile stimulation, allowing intuitive hand control [54,55].
Based on the world health organization (WHO) report on disabilities, there are more than 30 million people with amputations living in poor countries, 80% of whom cannot afford commercial prosthetic hands. Producing prostheses with a 3D printer can be cost-effective and it is possible to design and produce customized and individualized prostheses. This can be one of the best alternatives for low-income patients.

Author Contributions

Conceptualization, K.H.N. and M.A.; writing—original draft preparation, K.H.N. and V.N.; writing—review and editing, V.N. and M.A.; supervision, M.A.; funding acquisition, M.A. All authors have read and agreed to the published version of the manuscript.

Funding

This study was partially supported by the Hong Kong Polytechnic University (UAKB).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

Authors declare no conflict of interests.

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Figure 1. Photograph of the first electric powered myoelectric prosthetic hand used by the inventor Reinhold Reiter (Circa 1943). Reprinted with permission from [13].
Figure 1. Photograph of the first electric powered myoelectric prosthetic hand used by the inventor Reinhold Reiter (Circa 1943). Reprinted with permission from [13].
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Figure 2. Bebionic 3 robotic hand developed by Ottobock (Photo courtesy from Otto Bock HealthCare LP, 11501 Alterra Parkway Suite 600, Austin, TX 78758, USA).
Figure 2. Bebionic 3 robotic hand developed by Ottobock (Photo courtesy from Otto Bock HealthCare LP, 11501 Alterra Parkway Suite 600, Austin, TX 78758, USA).
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Figure 3. Functional grasping and outlook of the SmartHand developed by the ARTS Lab at Scuola Superiore Sant’Anna, Pisa, Italy. Reprinted with permission from [18].
Figure 3. Functional grasping and outlook of the SmartHand developed by the ARTS Lab at Scuola Superiore Sant’Anna, Pisa, Italy. Reprinted with permission from [18].
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Figure 4. (A–C) Different components and configuration of the Modular Prosthetic Limb (MPL), built by Johns Hopkins University’s Applied Physics Laboratory, Baltimore, MD, USA. (D,E) An amputee performing reaching, grasping, manipulation and cooking tasks using the MPL. Reprinted with permission from [23].
Figure 4. (A–C) Different components and configuration of the Modular Prosthetic Limb (MPL), built by Johns Hopkins University’s Applied Physics Laboratory, Baltimore, MD, USA. (D,E) An amputee performing reaching, grasping, manipulation and cooking tasks using the MPL. Reprinted with permission from [23].
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Figure 5. Plucking a grape by using the LUKE arm without smashing it is a process that would be incredibly challenging without tactile feeling. (Photo courtesy from the Center for Neural Interfaces, University of Utah, Salt Lake, UT, USA).
Figure 5. Plucking a grape by using the LUKE arm without smashing it is a process that would be incredibly challenging without tactile feeling. (Photo courtesy from the Center for Neural Interfaces, University of Utah, Salt Lake, UT, USA).
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Figure 6. A simple control strategy of an upper-limb myoelectric prosthesis by using surface electromyogram (EMG) signal. Reprinted with permission from [27].
Figure 6. A simple control strategy of an upper-limb myoelectric prosthesis by using surface electromyogram (EMG) signal. Reprinted with permission from [27].
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Figure 7. A robotic hand prosthesis powered by surface EMG signals and neural sensory feedback was used by the patient through electrodes implanted in her ulnar nerve. Reprinted with permission from [32].
Figure 7. A robotic hand prosthesis powered by surface EMG signals and neural sensory feedback was used by the patient through electrodes implanted in her ulnar nerve. Reprinted with permission from [32].
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Figure 8. Bidirectional interaction between the prosthetic hand and implanted electrodes was made possible by implantation. Reprinted with permission from [34].
Figure 8. Bidirectional interaction between the prosthetic hand and implanted electrodes was made possible by implantation. Reprinted with permission from [34].
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Figure 9. 3D printed hand prosthesis. (A) Andrianesis’ Hand, (B) Touch hand II, (C) Cyborg beast and (D) X-Limb. Reprinted with permission from [37,40,41].
Figure 9. 3D printed hand prosthesis. (A) Andrianesis’ Hand, (B) Touch hand II, (C) Cyborg beast and (D) X-Limb. Reprinted with permission from [37,40,41].
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Figure 10. Miniature arm with bundled of fiber-based muscles formed by PE and COCe. (Photo courtesy from Mehmet Kanik and Sirma Orguc, Massachusetts Institute of Technology, Cambridge, MA, USA).
Figure 10. Miniature arm with bundled of fiber-based muscles formed by PE and COCe. (Photo courtesy from Mehmet Kanik and Sirma Orguc, Massachusetts Institute of Technology, Cambridge, MA, USA).
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Table
Table 1. Specification of prosthetic hands.
Table 1. Specification of prosthetic hands.
NameType of ProsthesisDOFType of ControlControllerNumber of ActuatorsWeight (g)Cost (US $)
Bebionic 3Forearm6FMG/EMGN/A5433–61635,000
Revolutionizing Prosthetics V 1.0Upper arm17N/AN/A17N/AN/A
Revolutionizing Prosthetics V 2.0Upper arm22N/AN/A22N/AN/A
SmartHandForearm16N/AHigh-level hand controller
(HLHC, based on Microchip microcontroller)		4570N/A
LUKEForearm6EMGN/A61270100,000
ADA HandForearm5NMArduino 5380N/A
Andrianesis’ handForearm15EMGMicrocontroller 9350N/A
Gretsch’ HANDForearm10EMGArduino Micro5240300 M
O’Neill’s HANDForearm15EMGN/A5960500 M
Brunel hand 1.0Forearm9N/AArduino 4371N/A
Brunel hand 2.0Forearm9N/AArduino 43321634
MERO HandForearm2N/AArduino UNO2336N/A
Touch Hand IIForearmN/AEMGMicrocontroller
(MCU (MK20DX256 32bit ATM Cortex-M4))		64511052
DextrusForearm6EMGN/A64501000 M
Ariyanto’s HandForearm5NM (N/A)Arduino Nano5261N/A
Hackberry Bionic HandForearmN/AEMG/EEGArduino Micro3N/A372
i-LimbForearm6EMGN/A5460–61560,000
Hanson ArmUpper arm7EEG and EOGN/A7N/A7150
Canizares’ HandForearm5EMGArduino Nano5682N/A
Bebionic HandForearm6EMGN/A5495–53911,000
MichelangeloForearm2EMGHost PC 260075,000
MANUS-HANDForearmN/AEMGMicrocontroller (PIC17C756)9400N/A
RehandForearmN/Adistance sensorArduino pro mini14671250
KIT prosthetic handForearm10embedded vision systemARM Cortex M7 processor
(STM32F7 series, STMicroelectronics)		2N/A1214
X-LimbForearm13EMGMicrocontroller (Atmel 8-bit ATmega2560, Chandler, AZ, USA )5253200
N/A: not available and M: cost of material.
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Ng, K.H.; Nazari, V.; Alam, M. Can Prosthetic Hands Mimic a Healthy Human Hand? Prosthesis 2021, 3, 11-23. https://doi.org/10.3390/prosthesis3010003

AMA Style

Ng KH, Nazari V, Alam M. Can Prosthetic Hands Mimic a Healthy Human Hand? Prosthesis. 2021; 3(1):11-23. https://doi.org/10.3390/prosthesis3010003

Chicago/Turabian Style

Ng, Ka Ho, Vaheh Nazari, and Monzurul Alam. 2021. "Can Prosthetic Hands Mimic a Healthy Human Hand?" Prosthesis 3, no. 1: 11-23. https://doi.org/10.3390/prosthesis3010003

APA Style

Ng, K. H., Nazari, V., & Alam, M. (2021). Can Prosthetic Hands Mimic a Healthy Human Hand? Prosthesis, 3(1), 11-23. https://doi.org/10.3390/prosthesis3010003

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