未知数据源 2024年10月02日
Magnetically controlled prosthetic hand restores fine motion control
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意大利比萨圣安娜高等师范学校的研究团队开发了一种磁控假肢手,首次在一名截肢患者身上进行了测试,该假肢手能够提供精细的控制,让使用者能够完成日常活动并抓取脆弱的物体。该假肢利用植入的微型磁铁来预测和执行使用者想要完成的动作,为截肢者提供了一种新的希望。

🥳 该假肢手利用植入的微型磁铁来预测和执行使用者想要完成的动作。该技术被称为“肌动控制”,它利用骨骼肌肉的物理位移来解码使用者的运动意图。与传统的肌电控制相比,肌动控制能够更准确地识别使用者的运动意图,并提供更精细的控制。

💪 该假肢手能够完成一系列日常活动,例如拧开水瓶盖、用刀切东西、拉拉链、系鞋带和从泡罩包装中取出药片。它还可以控制抓取力,以操作鸡蛋和塑料杯等脆弱物体。

🧪 研究团队在一名截肢患者身上进行了为期六周的测试,结果表明该假肢手能够提供与传统肌电假肢相当的灵活性。测试结束后,研究团队将磁铁移除,发现除了一个失去保护外壳的磁铁周围出现轻度炎症外,所有周围组织均健康。

🚀 研究团队正在努力开发一种能够长期生物相容的磁铁涂层,以便使用者最终能够在家中使用该系统。他们还计划在未来两年内进行另一项肌动假肢的测试。

💡 该假肢手的开发为恢复截肢者的自然运动控制提供了新的希望,它有可能改变人们对假肢的看法,并为截肢者带来更大的自由和独立。

A magnetically controlled prosthetic hand, tested for the first time in a participant with an amputated lower arm, provided fine control of hand motion and enabled the user to perform everyday actions and grasp fragile objects. The robotic prosthetic, developed by a team at Scuola Superiore Sant’Anna in Pisa, uses tiny implanted magnets to predict and carry out intended movements.

Losing a hand can severely affect a person’s ability to perform everyday work and social activities, and many researchers are investigating ways to restore lost motor function via prosthetics. Most available or proposed strategies rely on deciphering electrical signals from residual nerves and muscles to control bionic limbs. But this myoelectric approach cannot reproduce the dexterous movements of a human hand.

Instead, Christian Cipriani and colleagues developed an alternative technique that exploits the physical displacement of skeletal muscles to decode the user’s motor intentions. The new myokinetic interface uses permanent magnets implanted into the residual muscles of the user’s amputated arm to accurately control finger movements of a robotic hand.

“Standard myoelectric prostheses collect non-selective signals from the muscle surface and, due to that low selectivity, typically support only two movements,” explains first author Marta Gherardini. “In contrast, myokinetic control enables simultaneous and selective targeting of multiple muscles, significantly increasing the number of control sources and, consequently, the number of recognizable movements.”

First-in-human test

The first patient to test the new prosthesis was a 34-year-old named Daniel, who had recently lost his left hand and had started to use a myoelectric prosthesis. The team selected him as a suitable candidate because his amputation was recent and blunt, he could still feel the lost hand and the residual muscles in his arm moved in response to his intentions.

For the study, the team implanted six cylindrical (2 mm radius and height) neodymium magnets coated with a biocompatible shell into three muscles in Daniel’s residual forearm. In a minimally invasive procedure, the surgeon used plastic instruments to manipulate the magnets into the tip of the target muscles and align their magnetic fields, verifying their placement using ultrasound.

Daniel also wore a customized carbon fibre prosthetic arm containing all of the electronics needed to track the magnets’ locations in space. When he activates the residual muscles in his arm, the implanted magnets move in response to the muscle contractions. A grid of 140 magnetic field sensors in the prosthesis detect the position and orientation of these magnets and transmit the data to an embedded computing unit. Finally, a pattern recognition algorithm translates the movements into control signals for a Mia-Hand robotic hand.

Gherardini notes that the pattern recognition algorithm rapidly learnt to control the hand based on Daniel’s intended movements. “Training the algorithm took a few minutes, and it was immediately able to correctly recognize the movements,” she says.

In addition to the controlled hand motion arising from intended grasping, the team found that elbow movement activated other forearm muscles. Tissue near the elbow was also compressed by the prosthetic socket during elbow flexion, which caused unintended movement of nearby magnets. “We addressed this issue by estimating the elbow movement through the displacement of these magnets, and adjusting the position of the other magnets accordingly,” says Gherardini.

During the six-week study, the team performed a series of functional tests commonly used to assess the dexterity of upper limb prostheses. Daniel successfully completed these tests, with comparable performance to that achieved using a traditional myoelectric prosthetic (in tests performed before the implantation surgery).

Importantly, he was able to control finger movements well enough to perform a wide range of everyday activities – such as unscrewing a water bottle cap, cutting with a knife, closing a zip, tying shoelaces and removing pills from a blister pack. He could also control the grasp force to manipulate fragile objects such as an egg and a plastic cup.

The researchers report that the myokinetic interface worked even better than they expected, with the results highlighting its potential to restore natural motor control in people who have lost limbs. “This system allowed me to recover lost sensations and emotions: it feels like I’m moving my own hand,” says Daniel in a press statement.

At the end of the six weeks, the team removed the magnets. Asides for low-grade inflammation around one magnet that had lost its protective shell, all of the surrounding tissue was healthy. “We are currently working towards a long-term solution by developing a magnet coating that ensures long-term biocompatibility, allowing users to eventually use this system at home,” Gherardini tells Physics World.

She adds that the team is planning to perform another test of the myokinetic prosthesis within the next two years.

The myokinetic prosthesis is described in Science Robotics.

The post Magnetically controlled prosthetic hand restores fine motion control appeared first on Physics World.

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磁控假肢 肌动控制 截肢 假肢技术 运动控制
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