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20172021
most citedAnalog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things

16 citations · 79 across the 11 of their papers we have counts for

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Showing 2019 · eess.SPShow all

5 papers · 2 filters

eess.SP2019★ 12 cited

Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding

Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili

A low-complexity all-analog circuit is proposed to perform efficiently Analog Joint Source Channel Coding (AJSCC), which can compress two or more sensor signals into one with contr…

eess.SP2019★ 11 cited

Towards Low-power Wearable Wireless Sensors for Molecular Biomarker and Physiological Signal Monitoring

Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2

A low-power wearable wireless sensor measuring both molecular biomarkers and physiological signals is proposed, where the former are measured by a microfluidic biosensing system wh…

eess.SP2019★ 14 cited

Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors

Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang +1

To enable low-power and low-complexity wireless monitoring, an improved circuit design of Analog Joint Source Channel Coding (AJSCC) is proposed for wireless sensor nodes. This inn…

eess.SP2019★ 10 cited

Towards Wireless Health Monitoring via Analog Signal Compression based Biosensing Platform

Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2

Wireless all-analog biosensor design for concurrent microfluidic and physiological signal monitoring is presented in this work. The key component is an all-analog circuit capable o…

eess.SP2019★ 16 cited

Analog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things

Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili

Scalability is a major issue for Internet of Things (IoT) as the total amount of traffic data collected and/or the number of sensors deployed grow. In some IoT applications such as…