Proceedings ArticleDOI
Live demonstration: An ECG-on-Chip for wearable wireless sensors
Chacko John Deepu,X. Zhang,Wen-Sin Liew,D. L. T. Wong,Yong Lian +4 more
- pp 177-178
TLDR
A wearable wireless ECG sensor prototype based on a highly integrated, ultra-low power ECG-on-Chip that can be received by a smartphone application in Android to visualize and analyze the signal further and uploaded to cloud server for long-term storage and complex signal analysis.Abstract:
We are demonstrating a wearable wireless ECG sensor prototype based on a highly integrated, ultra-low power ECG-on-Chip. The demonstration setup (as shown in Fig. 1) of the prototype sensor consists of 1) ST-Electromedicina ST-10 ECG signal generator 2) Prototype Sensor with the proposed ECG-on-Chip 3) Gateway application running in a notebook PC / Android smartphone. The signal output from the ECG generator is amplified, converted to digital domain and compressed by the ECG-on-Chip and streamed live via Bluetooth. The signal is received by a notebook PC with Bluetooth interface running the gateway application. The compressed signal is decompressed by the gateway application and displayed for observation/diagnostic purposes. This data can be uploaded to cloud server for long-term storage and more complex signal analysis. The signal transmitted by the sensor can also be received by a smartphone application in Android to visualize and analyze the signal further. A live subject will wear one of the sensors to demonstrate the ECG acquisition under normal daily activities like walking, running, jumping. ECG signals acquired during activities are shown in Fig 2.read more
Citations
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Journal ArticleDOI
A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT
TL;DR: This paper presents a novel data compression and transmission scheme for power reduction in Internet-of-Things (IoT) enabled wireless sensors, applying the method to electrocardiogram (ECG).
Journal ArticleDOI
Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User’s Face
TL;DR: This paper shows that the proposed approach of measuring iPPG using Hue (range 0–0.1) gives more accurate readings than the Green channel, and the hardware agnostic approach for detection of vital signals will have a huge potential impact in telemedicine.
Book ChapterDOI
Real-Time, Personalized Anomaly Detection in Streaming Data for Wearable Healthcare Devices
TL;DR: This chapter introduces the system architecture for wearable health-care monitoring systems and present discussions on various components involved, and applies real-time signal processing methods and heuristics to estimate the boundary limits of individual beats from the streaming ECG data.
Journal ArticleDOI
Reliability Challenges in Fabrication of Flexible Hybrid Electronics for Human Performance Monitors: A System-Level Study
Varun Soman,Yasser Khan,Madina Zabran,Mark Schadt,Paul Joseph Hart,Michael Shay,Frank D. Egitto,Konstantinos I. Papathomas,Natasha A. D. Yamamoto,Donggeon Han,Ana Claudia Arias,Kanad Ghose,Mark D. Poliks,James N. Turner +13 more
TL;DR: In this article, the reliability improvement of an FHE human performance monitor (HPM) designed to monitor electrocardiography (ECG) signals has been reported on Kapton HN polyimide (PI) substrate with flexible gold (Au) ECG electrodes on one side of the substrate and rigid electronic components for signal processing and communication mounted on the other side.
Proceedings ArticleDOI
Reliability Study and Finite Element Modeling of a Wearable Sensor Patch (WSP) to Monitor ECG Signals
TL;DR: In this article, a wearable sensor patch (WSP) designed to monitor ECG signals and skin temperature was fabricated on a 2" X 2" Kapton® polyimide (PI) substrate, where sensors were printed on one side of the flexible PI substrate and rigid electronic components were mounted on the other side for signal processing and communication purposes.
References
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Proceedings ArticleDOI
An ECG-SoC with 535nW/channel lossless data compression for wearable sensors
TL;DR: A low power ECG recording Sys-tem-on-Chip (SoC) with on-chip low complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices.
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