However, with the help of technology, users can have more natural and functional control over their prosthetic hands.
The development of technology in recent years has enabled the advancement of prosthetics and improved functional performance for people living with upper-limb amputations. The use of technological solutions to enhance prosthetic hand performance is becoming increasingly popular due to the advances in robotic and mechatronic systems. This article will discuss how this technology is being used to enhance the performance of passive prosthetic hands for bimanual activities in ADLs.
Robotic and mechatronic prosthetic hands systems are being used to provide more precise control over a prosthesis’s movements that mimic natural human movements, such as gripping and releasing objects, grasping items from different heights or orientations, manipulating objects with varying shapes or sizes, as well as adjusting forces applied while performing these activities. These robotic systems also provide feedback from sensors which allow users to feel what they are doing with their fingers.
One type of robotic system that has been developed for enhanced control over a passive prosthesis is an electromyography (EMG) based controller system where electrodes placed on muscles close to remaining limb segments measure muscle contractions that can be interpreted by a computer algorithm into commands sent directly to motors mounted onto the device which then move it accordingly. These EMG signals can be used both for controlling single-joint motion (e.g., opening/closing) or multiple joints simultaneously (e.g., gripping). Furthermore, EMG signal recognition techniques have been developed which enable intuitive prosthetic hands manipulation skills such as pinching or twisting an object without having any physical contact between user’s body part and devices required for operation/control purposes during bimanual manipulations tasks involving both hands at once.
Other types of controllers have also been developed such as artificial neural networks (ANN), fuzzy logic controllers (FLC), reinforcement learning controllers (RL) etc., all using sophisticated algorithms coupled with sensors integrated onto devices in order to detect user intentions from various body parts like head motions, eye gazes etc., enabling real time interaction between user’s body parts and devices without requiring any physical contact between them during bimanual activities involving both hands at once. In addition, advanced haptic feedback technologies are also being implemented into these prosthetic hands controller systems so that users can experience sensations similar to those felt when gripping an object manually which helps greatly improve accuracy while manipulating objects during ADLs tasks requiring two-handed coordination.
For example haptic exoskeletons fitted onto arms enable users to receive tactile cues through vibration motors attached on prosthetic hands device surface when they touch virtual environments thus providing an immersive experience while performing two handed coordination tasks related to ADLs. Similarly augmented reality powered wearable glasses equipped with gesture tracking sensors allow users to manipulate virtual objects within their environment by providing direct visual feedback about their hand positions relative to other objects present within the scene along directional arrows pointing towards goal location thus enabling better execution of complex manipulation tasks involving two handed coordination.
Technology advancements not only help increase accuracy but also reduce energy expenditure required to perform certain bimanual activities like feeding oneself using a spoon fork etc. This achieved through implementation assistive forces generated electromechanical actuators driven either electrical muscle stimulation signals generated existing muscles amputated limb segment mechanical coupling mechanisms fitted onto device frame. Thus, these prosthetic hands actuators aid user’s grip strength thereby reducing fatigue associated prolonged manual labour In addition passive movement damping mechanisms incorporated into device frame reduce impact sudden jerky motions caused either external disturbances or tremor effects due neuromuscular disorders allowing smoother transitions between different postures/grasps. Furthermore, lightweight materials now available in the market help maintain overall weight burden upon the remaining arm segment reducing fatigue associated with long hours usage manual labour. Finally, optimised power management strategies reduce energy consumption significantly while still ensuring sufficient amount of torque required to perform certain operations, thus helping increase battery life span allowing longer duration usage of single charge cycles.
Overall technology advancements made in the past few years offer great potential to enhance functioning passive prosthetic hands, especially when it comes to executing bimanual activities involving daily living. Also newer emerging trends automation machine learning vision based sensing technologies - artificial intelligence further open possibilities enhancing overall functionality of people living upper limb amputations utilising latest technological breakthroughs.