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- 2019
- Topological change
- Multi-hop routing
- low latency
- Wearable Wireless Sensor Network
- wearable devices
- Communication Engineering
- Shenyang Ligong University
- Northeastern University
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[IEEE 2018 Innovations in Intelligent Systems and Applications (INISTA) - Thessaloniki (2018.7.3-2018.7.5)] 2018 Innovations in Intelligent Systems and Applications (INISTA) - Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System
摘要： In this paper, the design, prototyping and software development of a novel wearable cardiorespiratory parameters monitoring sensor and software applications illustrated. Piezologist is an unobtrusive chest worn device. It comprises a patch-type sensor and a mobile application. The sensor utilizes piezoelectric material as the cardiorespiratory signal sensing component and MetaWearC board as the signal acquisition unit. The board also comes with Bluetooth Low Energy (BLE) support which is utilized for the raw signal transmission. The novelty aspect of the system rests on the fact that not only using a single cheap piezoelectric sheet common cardiorespiratory parameters (such as heart rate, respiration rate, and cycles) were obtained similar to previous studies but ECG waveform and blood pressure data were also extracted successfully using the same sensor. In addition, sensor packaging design and prototyping and their effect on the acquired signal strength on one hand and the package size (volume and weight) on the other hand were studied and reported. For performance validation purpose, the developed cardiorespiratory monitoring system results were validated against two commercial sensor devices namely 3-lead ECG sensor from eHealth sensor kit and Zephyr belt-type BioHarness sensor, and the results were reported herein. The validation process outcomes confirmed that the cardiorespiratory signals extracted using Piezologist conform with a heartbeat, respiratory cycle and ECG waveform obtained using the commercial sensors. Furthermore, a usability study was conducted to compare the user experience offered by Piezologist for measuring cardiorespiratory parameters against the commercially available sensors. The study highlighted the potential that Piezologist will take over the commercial available belt-type, watch-type and 3-lead ECG sensors.
关键词： biomedical signal processing,heart rate extraction,wearable sensors,Sensors,Vital signs,ECG waveform,Home healthcare,cardiorespiratory,Heartbeats,mobile healthcare,Respiration rate
更新于2025-09-23 15:22:29
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[ACM Press the 2018 ACM International Joint Conference and 2018 International Symposium - Singapore, Singapore (2018.10.08-2018.10.12)] Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp '18 - Measuring Study Activity across High School Students Using Commercial EOG Glasses
摘要： Health monitoring using a wearable device is gaining increasing research interest. Several longitudinal studies have been conducted across college students taking advantage of the robust data acquisition of wearable devices. In these studies, watch-type wearable device and mobile phone are often used to collect data. However, longitudinal activity tracking using an eyewear-type device is challenging because such devices often result in significant discomfort to the user due to their bulky hardware. This paper reports on a longitudinal study on high school students using commercial electrooculography glasses to track study activity. Initial result indicates that weekly feedback via text messages can contribute to longer use of the device.
关键词： Electrooculography,Activity tracking,Eyewear,Wearable device,Eye Blink
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE 13th Annual International Conference on Nano/Micro Engineered and Molecular Systems (NEMS) - Singapore, Singapore (2018.4.22-2018.4.26)] 2018 IEEE 13th Annual International Conference on Nano/Micro Engineered and Molecular Systems (NEMS) - Self-Powered, High-Sensitive Human Cutaneous Activities Sensor
摘要： A self-powered piezoelectric sensor based on lead-free (K,Na)NbO3 (KNN) thin film for human health monitoring is presented. The sensor is fabricated on a flexible substrate and exhibits high sensitivity and stability. It can detect various physiological signals such as pulse, respiration, and body movement. The results demonstrate its potential for wearable health monitoring applications.
关键词： piezoelectric sensor,KNN thin film,health monitoring,lead-free,flexible substrate,wearable
更新于2025-09-23 15:22:29
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[ACM Press Proceedings of the 14th EAI International Conference - Melbourne, VIC, Australia (2017.11.07-2017.11.10)] Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems Computing Networking and Services - Sensor Agnostic Photoplethysmogram Signal Quality Assessment using Morphological Analysis
摘要： In this article, we propose a method to assess the clinical usability of fingertip Photoplethysmogram (PPG) waveform, collected from medical grade oximeter (train data) and smartphone (test data). We introduce a set of novel Signal Quality Indices (SQIs) to represent the noise characteristics of the PPG waveform. The SQIs are presented to a random forest classifier to discriminate between clean and noisy signals. The proposed method was evaluated on datasets annotated by four experts, resulting into a sensitivity and specificity of (92 + ? 4.7 % , 95 + ? 4.6 % , 95.4 + ? 3.1 %) on train and test data respectively. Further we applied the proposed method on PPG waveform of clinically proven control and disease population of Coronary Artery Disease (CAD), which resulted into (77 %,77 %) of sensitivity and specificity respectively.
关键词： Artefact,Noise Detection,Photoplethysmogram,Wearable Sensors,Morphology,Mobile Health
更新于2025-09-23 15:22:29
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Heart rate estimation from photoplethysmography signal for wearable health monitoring devices
摘要： Wearable wrist type health monitoring devices use photoplethysmography (PPG) signal to estimate heart rate (HR). The HR estimation from these devices becomes difficult due to the existence of strong motion artifacts (MA) in PPG signal thereby leading to inaccurate HR estimation. The objective is to develop a novel de-noising algorithm that reduces the MA present in PPG signal, resulting in an accurate HR estimation. A novel de-noising technique using the hierarchical structure of cascade and parallel combinations of two different pairs of adaptive filters which reduces MA from the PPG signal and improves HR estimation is proposed. The first pair combines normalized least mean squares (NLMS) and recursive least squares (RLS) adaptive filters and the second pair combines recursive least squares (RLS) and least mean squares (LMS) adaptive filters. The de-noised signals obtained from the first and second pairs are combined to form a single de-noised PPG signal by means of convex combination. The HR of the de-noised PPG signal is estimated in the frequency domain using a Fast Fourier transform (FFT). Performance of the proposed technique is evaluated using a dataset of 12 individuals performing running activity in Treadmill. It resulted in an average absolute error of 0.92 beats per minute (BPM), standard deviation of the absolute error of 1.17 beats per minute (BPM), average relative error of 0.72 and Pearson correlation coefficient of 0.9973.
关键词： Photoplethysmography,Convex combination,Heart rate estimation,Motion artifact,Wearable devices,Combination of adaptive filters
更新于2025-09-23 15:22:29
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Surface-functionalized silver nanowires on chitosan biopolymers for highly robust and stretchable transparent conducting films
摘要： We develop highly robust and stretchable conductive transparent electrodes based on silver nanowires (AgNWs) deposited on functionalized chitosan biopolymer substrates. 11-aminoundecanoic acid is introduced as a surface modifier for enhancing the chemical bond. The chemically functionalized AgNW films achieve a low sheet resistance of 12.2 ohm/sq with a high transmittance of 88.9%. In addition, stretchable alternating current-driven electroluminescent devices and stretchable transparent heaters have been fabricated with AgNW/chitosan thin-films which can be cut, stretched, bent, and twisted without performance degradation. With this approach, stretchable electronics prepared on bio-compatible substrates can be easily applied to curved surfaces or human skins.
关键词： wearable electronics,chitosan,silver nanowires,Transparent electrodes,stretchable electronics
更新于2025-09-23 15:22:29
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Using PPG Signals and Wearable Devices for Atrial Fibrillation Screening
摘要： Cardiovascular diseases are the primary cause of deaths in the world. Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Due to its high prevalence and associated risks, early detection of AF is an important objective for healthcare systems worldwide. The growing demand for medical assistance implies increased expenses, which could be limited by implementing ambulatory monitoring techniques based on wearable devices, thus reducing the number of people requiring observation in hospitals. One of the main challenges in this context is related to the large amount of data from patients to be analyzed, which points to the suitability of using computational intelligence techniques for it. The selection of the features to be extracted from data plays a key role in order for any classifier of heart rhythm to provide good results in this regard. This paper demonstrates that it is possible to achieve an accurate detection of AF using a very low number of relatively simple features extracted from photoplethysmographic signals, enabling the use of affordable wearable devices (with scarce processing and data storage resources) with this purpose over long periods of time. This fact has been validated in experiments using data from real patients under medical supervision.
关键词： Atrial fibrillation,photoplethysmography,wearable devices,ambulatory screening,feature selection
更新于2025-09-23 15:22:29
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[IEEE 2018 International Conference on Electrical Engineering and Computer Science (ICECOS) - PANGKAL PINANG, Indonesia (2018.10.2-2018.10.4)] 2018 International Conference on Electrical Engineering and Computer Science (ICECOS) - Design and Implementation of Analog Transceiver Circuit for Patient Monitoring System based on OWC
摘要： In this paper, we present the design and implementation of analog front-end (AFE) module for patient monitoring system based on optical wireless communication (OWC). The communication link uses visible light as a downlink and IR as an uplink communication. The wireless patient monitoring system consists of two parts: host or coordinator and client or patient device. On the patient device part, we designed the PCB with a shield configuration so the AFE module can be connected directly to GPIO’s microcontroller unit (MCU) without any cable. Moreover, the AFE module is attempted to have a similar size with the MCU. Hence, the patient device has a small-size, minimum of wires, wearable, and low-complexity. The AFE receiver output is a digital waveform. Therefore, it is compatible with On-off Keying (OOK) modulation. The AFE module can be switched digitally up to 25 KHz of optical frequency for visible light downlink and 1500 Hz optical frequency for IR uplink. The optical link distance can reach up to 2 meters with 0o of reception angle.
关键词： Visible light communication,Wearable patient monitoring,IR communication,Optical Wireless Communication (OWC),Analog Front-End
更新于2025-09-23 15:22:29
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Electrophysiology Meets Printed Electronics: The Beginning of a Beautiful Friendship
摘要： Electroencephalography (EEG) and surface electromyography (sEMG) are notoriously cumbersome technologies. A typical setup may involve bulky electrodes, dangling wires, and a large amplifier unit. Adapting these technologies to numerous applications has been accordingly fairly limited. Thanks to the availability of printed electronics, it is now possible to effectively simplify these techniques. Elegant electrode arrays with unprecedented performances can be readily produced, eliminating the need to handle multiple electrodes and wires. Specifically, in this Perspective paper, we focus on the advantages of electrodes printed on soft films as manifested in signal transmission at the electrode-skin interface, electrode-skin stability, and user convenience during electrode placement while achieving prolonged use. Customizing electrode array designs and implementing blind source separation methods can also improve recording resolution, reduce variability between individuals and minimize signal cross-talk between nearby electrodes. Finally, we outline several important applications in the field of neuroscience and how each can benefit from the convergence of electrophysiology and printed electronics.
关键词： wearable sensors,EMG,printed electrodes,skin electronics,EEG
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC) - Tainan, Taiwan (2018.11.5-2018.11.7)] 2018 IEEE Asian Solid-State Circuits Conference (A-SSCC) - A 137-μW Area-Efficient Real-Time Gesture Recognition System for Smart Wearable Devices
摘要： Gesture recognition has increasingly become one of the most popular human-machine interaction techniques for smart devices. Existing gesture recognition systems suffer from either excessive power consumption or large size, limiting their applications for ultra-low power IoT and wearable devices. This paper presents an accurate, area-efficient, and ultra-low power real-time gesture recognition system for smart wearable devices. The proposed work utilizes a peak-based gesture classification engine with less memory and a low-resolution and low-power on-chip image sensor for achieving high area efficiency and low power. The feature extraction architecture removes fixed-pattern noises from the low-power on-chip image sensor for accuracy improvement and employs parallelism for recognition speed enhancement. The proposed system requires only 3.2 KB on-chip memory for processing 32x32 pixel data. Measurement results of a test chip fabricated in 65nm CMOS demonstrate that the proposed system consumes 137.0 pW at 0.8 V and 30fps while occupying only 1.78mm2, which achieves the lowest power and smallest area among existing gesture recognition systems.
关键词： system on chip,low power processor,image sensor,wearable devices,gesture recognition,feature extraction
更新于2025-09-23 15:22:29