Accurate and real-time sensing of gas molecule species and concentrations is critical for a myriad of applications, including environmental protection, industry automation, public health monitoring, and bio-/chemical-...
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Fiber Bragg grating (FBG) sensing technology, with the advantages of precise real-time monitoring and strong anti-interference capabilities, has been widely applied in various fields, including aerospace, petrochemica...
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Signal acquisition system is widely used in various fields of reality, due to the data acquisition rate and processor performance enhancement as well as the development of sensorarrays and other technologies, the dat...
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Long-term at-home monitoring of rehabilitation performance after spinal cord injuries is crucial for optimizing therapeutic outcomes, reducing the rehabilitation period, and improving patient quality of life. However,...
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ISBN:
(纸本)9798350354966;9798350354959
Long-term at-home monitoring of rehabilitation performance after spinal cord injuries is crucial for optimizing therapeutic outcomes, reducing the rehabilitation period, and improving patient quality of life. However, there is currently a lack of an easy-to-use system that allows patients to collect data during exercise. To address this gap, this paper introduces the development of a self-contained, multi-modal sensor system that captures surface electromyography (sEMG) and motion data, along with a depth-sensing imager for monitoring patient exercise activities. The system consists of a scalable number of wireless multi-sensor wearable patches that are easy to attach and comfortably worn over extended periods, and a time-of-flight depth-sensing imaging sensor, which detects patient activities while collecting minimal information to protect privacy. The multi-modal data is streamed to a Raspberry Pi and synchronized in real time. This system provides a new framework that supports the rehabilitation of spinal cord injuries and can be adapted for a broad range of other clinical monitoring applications.
作者：
Pan, HeminMei, DeqingWang, YanchengZhejiang University
State Key Laboratory Of Fluid Power And Mechatronic Systems School Of Mechanical Engineering Hangzhou China Zhejiang University
Key Laboratory Of Advanced Manufacturing Technology Of Zhejiang Province School Of Mechanical Engineering Hangzhou China
This paper presents a novel particle multimer manipulation approach by using acoustic tweezers with optimized bisymmetric coherent design. The acoustic tweezers enable contactless morphology modulation of individual m...
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One key challenge encountered by photonic integrated circuit is to couple light to and from optical fibers efficiently. The standard fiber used for telecommunication or data communication is single-mode fiber (SMF), w...
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To scale to trillions of Internet-of-Things (loT) nodes, devices must be battery-less by achieving energy autonomy, having a μW power floor, few off-chip components, and a small form factor. These features are benefi...
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We have developed a flexible gas sensor with MWCNT/PANI for ammonia detection. With a response of over 500% to 100 ppm of NH3, the sensor has shown excellent limit of detection as low as 300 ppb. The gas sensing perfo...
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In recent years, advancements and applications of computer vision techniques such as neural radiance fields (NeRF) and Gaussian splatting have set new expectations of mapping and 3D reconstruction tasks. Achieving hig...
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Micro-electro mechanical systems (MEMS) thermal flow sensors have been widely utilized for a wide spectrum of applications. Innovative fabrication processes using polymers have resulted in the development of their fle...
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