near-field communication-enabled wearable chemical sensors bioanalytical is a M.Tech project topic for Electronics & Communication Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
near-field communication-enabled wearable chemical sensors bioanalytical Project Details
| Abstract |
Nearβfield communication (NFC) is becoming a key way to send data wirelessly without a battery in wearable medical devices. This work looks at how to design, model, and test NFCβenabled chemical sensors that can monitor the body continuously and without needles. The proposed system combines a flexible electrochemical sensor with a passive NFC tag. The tag harvests power from an external reader (for example, a smartphone) and sends the sensor data back in real time. Key parts of the study focus on: – Signalβconditioning circuits that prepare the sensor output. – Impedanceβmatching networks that maximize power transfer. – The efficiency of energy harvesting from the NFC field. A stepβbyβstep method
is provided to improve the coupling coefficient and keep data transmission reliable even when the device bends or stretches. The research also examines signalβprocessing algorithms that reduce motionβinduced errors and environmental noise, which are common in wearable bioβsensing. Guidelines are given for choosing components and testing the sensorβs analytical performance, including its sensitivity and selectivity for different physiological chemicals. Both computer simulations and lab experiments show that the approach can lead to compact, easyβtoβuse wearable diagnostic platforms. These platforms could support personalized health monitoring and continuous tracking of metabolism.
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| Reference Paper |
Near-Field Communication-Enabled Wearable Chemical Sensors for Bioanalytical Monitoring. |
| Domain |
Electronics & Communication Engineering |
| Sub-Domain |
Signal & Image Processing / Biomedical Signal Processing / Wearable Biosensors |
| PDF Download |
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