Diagnosing Parkinson’s disease using a soft magnetoelastic smart pen

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Abstract

We developed a soft magnetoelastic smart pen with ferrofluid ink that converts hand motions into precise electrical signals as a low-cost and easily accessible Parkinson’s disease diagnostic. Neural network-assisted analysis of handwriting motion captured by the smart pen in a preliminary human study accurately identified individuals with Parkinson’s disease.

Abstract Image

使用软磁弹性智能笔诊断帕金森病
我们开发了一种带有铁磁流体墨水的软磁弹性智能笔,可以将手部运动转换为精确的电信号,作为一种低成本且易于获取的帕金森病诊断方法。在一项初步的人类研究中,智能笔捕捉到的手写动作的神经网络辅助分析准确地识别出帕金森病患者。
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