无线、自供电智能鞋垫，改善个人健康监测-动脉网

Wireless, Self-Powered Smart Insole to Improve Personal Health Monitoring

HospiMedica 等信源发布 2025-04-22 05:46

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Millions of people experience challenges with ambulatory functions, which include activities like walking, running, and climbing stairs. Although there has been an increasing interest in creating wearable insole-based pressure systems in recent years, many previous prototypes faced issues such as limited energy and unstable performance.

数百万人面临步行功能方面的挑战，这些功能包括走路、跑步和爬楼梯等活动。尽管近年来人们对创建基于鞋垫的可穿戴压力系统产生了越来越多的兴趣，但许多先前的原型遇到了诸如能量有限和性能不稳定等问题。

Now, a new smart insole system that monitors walking in real time may offer a solution to improve posture and provide early warnings for conditions ranging from plantar fasciitis to Parkinson’s disease..

现在，一种实时监控步态的新型智能鞋垫系统可能提供改善姿势的解决方案，并为从足底筋膜炎到帕金森病等疾病提供早期预警。

This new system, developed by researchers at The Ohio State University (Columbus, OH, USA), uses 22 small pressure sensors and is powered by small solar panels placed on the tops of shoes. It provides real-time health tracking based on an individual's walking patterns, which are as unique as a fingerprint.

这个由美国俄亥俄州立大学（哥伦布市，俄亥俄州，美国）研究人员开发的新系统使用了22个小型压力传感器，并由放置在鞋顶部的小型太阳能电池板供电。它根据个人独特的步态模式提供实时健康监测，这些步态模式和指纹一样独特。

The collected data is then transmitted via Bluetooth to a smartphone for quick, detailed analysis, as outlined in the study published in .

然后，收集到的数据通过蓝牙传输到智能手机上，以便进行快速、详细的分析，正如研究中所概述的那样。

Science Advances

科学进展

. To address limitations in previous designs, the OSU research team ensured that the system is durable, offers high precision in data collection and analysis, and can provide reliable power. The system also incorporates artificial intelligence (AI) through an advanced machine learning model, enabling the device to recognize eight different motion states, ranging from static postures like sitting and standing to more dynamic movements like running and squatting..

为了解决之前设计中的局限性，OSU研究团队确保该系统耐用、在数据收集和分析方面提供高精度，并能提供可靠的动力。该系统还通过先进的机器学习模型融入了人工智能（AI），使设备能够识别八种不同的运动状态，从坐着和站着等静态姿势到跑步和蹲下等更动态的运动。

Additionally, the materials used in the insoles are flexible and safe, similar to those found in smartwatches, making the device low-risk for continuous use. After the solar cells capture sunlight, the energy is stored in small lithium batteries, which are harmless and do not interfere with daily activities.

此外，鞋垫所用的材料具有柔性和安全性，类似于智能手表中的材料，这使得该设备在连续使用时风险较低。太阳能电池捕捉阳光后，能量会被储存在小型锂电池中，这种电池无害，不会干扰日常活动。

By distributing sensors from toe to heel, the researchers can track the pressure exerted on different parts of the foot during activities like walking versus running. When walking, pressure is applied sequentially from the heel to the toes, while during running, most sensors experience pressure simultaneously.

通过从脚趾到脚跟分布传感器，研究人员可以追踪在行走与跑步等活动时脚不同部位所承受的压力。步行时，压力从脚跟到脚趾依次施加，而跑步时，大多数传感器会同时感受到压力。

Furthermore, walking generates pressure over about half of the total time, whereas running applies pressure for just a quarter of the time..

此外，步行时大约一半的时间会产生压力，而跑步时仅四分之一的时间施加压力。

In healthcare, the smart insoles could aid in gait analysis to detect early signs of foot pressure-related conditions, such as diabetic foot ulcers, musculoskeletal disorders like plantar fasciitis, and neurological conditions such as Parkinson’s disease. The system also uses machine learning to classify various motion types, providing opportunities for personalized health management, including real-time posture correction, injury prevention, and rehabilitation monitoring.

在医疗保健领域，智能鞋垫可以辅助步态分析，以检测与足部压力相关的疾病的早期迹象，例如糖尿病足溃疡、足底筋膜炎等肌肉骨骼疾病，以及帕金森病等神经系统疾病。该系统还利用机器学习对不同运动类型进行分类，为个性化健康管理提供机会，包括实时姿势矫正、损伤预防和康复监测。

The researchers also see potential for customized fitness training with this technology. According to the study, the smart insoles showed no significant performance degradation after undergoing 180,000 cycles of compression and decompression, demonstrating their long-term durability. Researchers anticipate that this technology will likely be commercially available within the next three to five years.

研究人员还看到了利用这项技术进行定制化健身训练的潜力。研究表明，智能鞋垫在经历了 18 万次压缩和解压循环后，性能没有显著下降，展示了其长期耐用性。研究人员认为，这项技术很可能在未来三到五年内实现商业化。

Future advancements will focus on improving the system’s gesture recognition capabilities, which will be enhanced through further testing on more diverse populations..

未来的发展将专注于改进系统的手势识别能力，这一能力将通过对更多样化的人群进行进一步测试来提升。

“Our bodies carry lots of useful information that we’re not even aware of,” said Jinghua Li, co-author of the study and an assistant professor of materials science and engineering at The Ohio State University. “These statuses also change over time, so it’s our goal to use electronics to extract and decode those signals to encourage better self-health care checks.

“我们的身体携带许多我们甚至没有意识到的有用信息，”该研究的合著者、俄亥俄州立大学材料科学与工程助理教授李静华说。“这些状态也会随着时间而变化，因此我们的目标是利用电子技术提取并解码这些信号，以鼓励更好的自我健康管理。”

Our device is innovative in terms of high resolution, spatial sensing, self-powering capability, and its ability to combine with machine learning algorithms. So, we feel like this research can go further based on the pioneering successes of this field.”.

我们的设备在高分辨率、空间感知、自我供电能力以及与机器学习算法结合的能力方面具有创新性。因此，我们认为这项研究可以基于该领域的开创性成功进一步深入。

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