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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 24th International Conference on Pattern Recognition (ICPR) - Beijing, China (2018.8.20-2018.8.24)] 2018 24th International Conference on Pattern Recognition (ICPR) - Variational Mode Decomposition-Based Heart Rate Estimation Using Wrist-Type Photoplethysmography During Physical Exercise
摘要： Heart rate (HR) monitoring based on Photoplethysmography (PPG) has drawn increasing attention in modern wearable devices due to its simple hardware implementation and low cost. In this work, we propose a variational mode decomposition (VMD)-based HR estimation method using wrist-type PPG signals during physical exercise. To remove motion artifacts (MA), VMD was first used and then a post-processing method after VMD was proposed to guarantee the robustness of MA removal. The performance of our proposed method was evaluated on two PPG datasets used in 2015 IEEE Signal Processing Cup. The method achieved the average absolute error of 1.45 beat per minute (BPM) on the 12 training sets and 3.19 BPM on the 10 testing sets, confirmed by the experimental results.
关键词： Photoplethysmography (PPG),Heart rate monitoring,variational mode decomposition,motion artifacts,wearable devices
更新于2025-09-09 09:28:46
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Integrating Google Glass into simulation-based training: experiences and future directions
摘要： Background: Education experts are starting to explore the potential uses of wearable technology and augmented reality in simulation-based training. In this article, we summarize our experiences with using Google Glass in simulation-based training and discuss potential future directions with this advanced technology. Methods: Emergency medicine residents and medical students participated in a pilot study where each team captain was asked to wear Google Glass during 15 separate simulation-based training sessions. Video obtained from Google Glass was analyzed and utilized during debriefing sessions for the residents and medical students. Results: We were able to successfully integrate Google Glass into simulation-based training and debriefing. During the analysis of each recording, observations were noted about the events that transpired and this data was used to provide instructional feedback to the residents and medical students for self-reflection and appraisal. Post-exercise surveys were conducted after each simulation session and all participants noted that Google Glass did not interfere with their simulation experience. Google Glass enabled the observers to analyze the team captain’s primary visual focus during the entire simulation scenario and feedback was provided based on the data recorded. Conclusions: Wearable technologies such as Google Glass can be successfully integrated into simulation-based training exercises without disrupting the learners’ experience. Data obtained from this integration can be utilized to improve debriefing sessions and self-reflection. Future research is underway and required to evaluate other potential uses for wearable technology in simulation-based training.
关键词： Medical education,Augmented reality,Google Glass,Wearable technology,Simulation-based training
更新于2025-09-09 09:28:46
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[IEEE 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Bangalore, India (2018.9.19-2018.9.22)] 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) - Pulse Oximetry and IOT based Cardiac Monitoring Integrated Alert System
摘要： Heart-related diseases are the leading cause of mortality around the world. There is a substantial need for continuous monitoring of cardiac values as they are a very significant index of one’s health. Conventional methods of measuring heart rate, spo2, and blood pressure values are laborious, prone to errors and usually requires the presence of a physician. This makes nocturnal monitoring impossible. In this project, we offer a modern day, embedded Systems & IoT based solution for continuous and non-invasive measuring of the cardiac values using an upcoming technology known as pulse-oximetry. This technology uses a medical sensor creating a photoplethsmogram from which we can detect the oxygen saturation level and variations in blood volume in the tissues. This analog waveform is further processed using hardware filters to obtain heart rate and Sp02 values. These values are digitized using the A2D converters in the ATmega32 based SoC and are constantly stored and uploaded to the cloud. In case the cardiac values are found to deviate away from the set thresholds, an automated emergency alert system is triggered which uses GSM for automated SOS calls, GPS to track the patient's location and GPRS to make the system truly mobile and wireless. Also, a patient can self-trigger the same alert system by using Google voice assistant on their smart-phone. The end goal of this project is to make a wearable cardiac monitoring and alert system which can be generic or patient specific and help reduce heart-related accidents.
关键词： Photoplethsmogram (PPG),pulse oximeter,GPRS,cardiac parameters: heart rate, sp02,GSM,GPS,Internet of Things (IoT),SoC,OPAMP,wearable health care device
更新于2025-09-09 09:28:46
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Design of Compresion Sensor by Zno Substrate using Precipitation Method
摘要： The Zinc Oxide nanoparticles are synthesized by the precipitation method using zinc acetate dehydrate and sodium hydroxide. The significance of characterization techniques like AFM, SEM, FTIR Spectrum and XRD for the prepared nanomaterial is studied. The prepared nanoparticles are used to improve the electrical conductivity of dielectric polymer like PMMA. Polymer metal Nano composites are prepared by in-situ oxidative polymerization of Methyl methacrylate monomer in the presence of different concentration of prepared metal nanoparticles. The electrical conductance is investigated using multimeter. The conductivity of the dielectric polymer is found to be increased with the increasing semiconductor concentration. Based on the result the prepared Nano composites can be used to convert the insulating foam into conductive one which can used to fabricate compression sensor.
关键词： wearable sensors,Zno- Zinc oxide,compression sensors
更新于2025-09-09 09:28:46
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Printable Fabrication of a Fully Integrated and Self-Powered Sensor System on Plastic Substrates
摘要： Wearable and portable devices with desirable flexibility, operational safety, and long cruising time, are in urgent demand for applications in wireless communications, multifunctional entertainments, personal healthcare monitoring, etc. Herein, a monolithically integrated self-powered smart sensor system with printed interconnects, printed gas sensor for ethanol and acetone detection, and printable supercapacitors and embedded solar cells as energy sources, is successfully demonstrated in a wearable wristband fashion by utilizing inkjet printing as a proof-of-concept. In such a “wearable wristband”, the harvested solar energy can either directly drive the sensor and power up a light-emitting diode as a warning signal, or can be stored in the supercapacitors in a standby mode, and the energy released from supercapacitors can compensate the intermittency of light illumination. To the best of our knowledge, the demonstration of such a self-powered sensor system integrated onto a single piece of flexible substrate in a printable and additive manner has not previously been reported. Particularly, the printable supercapacitors deliver an areal capacitance of 12.9 mF cm?2 and the printed SnO2 gas sensor shows remarkable detection sensitivity under room temperature. The printable strategies for device fabrication and system integration developed here show great potency for scalable and facile fabrication of a variety of wearable devices.
关键词： wearable and flexible devices,printable supercapacitors,printable gas sensors,monolithically integrated self-powered systems,inkjet printing
更新于2025-09-09 09:28:46
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Solution-synthesized chiral piezoelectric selenium nanowires for wearable self-powered human-integrated monitoring
摘要： Smart sensing devices with high stretchability and self-powered characteristics are essential in future generation wearable human-integrated applications. Here we report for the first time scalable synthesis and integration of selenium (Se) nanowires into wearable piezoelectric devices, and explore the feasibility of such devices for self-powered sensing applications, e.g., physiological monitoring. The ultrathin device can be conformably worn onto the human body, effectively converting the imperceptible time-variant mechanical vibration from the human body into distinguishable electrical signals, e.g., gesture, vocal movement, and radial artery pulse, through straining the piezoelectric Se nanowires. Our results suggest the potential of solution-synthesized Se nanowire a new class of piezoelectric nanomaterial for self-powered biomedical devices and opens doors to new technologies in energy, electronics, and sensor applications.
关键词： Self-powered sensor,Selenium nanowires,Wearable electronics,Human physiological monitoring,Piezoelectric device
更新于2025-09-09 09:28:46
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[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Impulse Response with Correlation Study of a Broadband Bended Wearable Monopole Antenna
摘要： In this paper, the impulse response of a wide band flexible circular monopole antenna is presented. The antenna is fabricated on liquid crystalline polymer flexible substrate with a compact geometry that makes it suitable for wearable applications under different bending conditions. The antenna is fed by coplanar waveguide transmission line and has a compact total size of 40 × 22 mm2. The presented antenna has a good performance over the operating frequency range for straight and bent configurations. The design principals, simulation and experimental results are presented in this work.
关键词： Wearable,Flexible substrate,Monople Antennas,Impluese Response
更新于2025-09-09 09:28:46
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Compact Circularly Polarized Wearable Button Antenna with Broadside Pattern for U-NII Worldwide Band Applications
摘要： A novel circularly polarized button antenna is proposed. The antenna is constructed on a disc shaped FR-4 substrate. This disc is located on top of a textile layer and supported by a feeding probe. The antenna works in the 5.47-5.725 GHz U-NII world wide band, with over 14% relative impedance bandwidth and over 7% relative axial ratio bandwidth. A prototype has been fabricated and measured. A good agreement is found between measured and simulated results.
关键词： Wearable,Button antenna,U-NII band,Axial ratio,Circular polarization
更新于2025-09-09 09:28:46
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[IEEE 2018 37th Chinese Control Conference (CCC) - Wuhan (2018.7.25-2018.7.27)] 2018 37th Chinese Control Conference (CCC) - A Novel Abnormal Segments Detection Method for Photopletysmography Signal
摘要： There are many abnormal segments in photopletysmography (PPG) signal which is recorded by wearable device, these abnormal segments still exist after filtering and have a bad impact on the accuracy of signal processing. Therefore, we proposed a novel method named abnormal segments classification detection (ASCD) to detect these abnomal segments. First, the abnormal segments is classified as pulse interference, missing segment and motion artifact. Then, different approches are proposed to detect these abnormal segments. The PPG signals recorded by wearable device are as the experimental data. The proposed method and two common used methods are employed to detect the abnormal segments from the experimental data. The results show that the proposed method with the accuracy of 95.4±1.4%, the sensitivity of 97.2±0.8% and the specificity of 88.6±1.3%, which are more higher than that of commen methods. Therefore, the proposed method can more effectivly detect the abnormal segments from PPG signal and is potentail for wearable device applications.
关键词： classification detection,PPG signal,wearable device,abnormal segments
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Athens (2018.3.19-2018.3.23)] 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Improving Motion-based Activity Recognition with Ego-centric Vision
摘要： Human activity recognition using wearable computers is an active area of research in pervasive computing. Existing works mainly focus on the recognition of physical activities or so called activities of daily living by relying on inertial or interaction sensors. A main issue of those studies is that they often focus on critical applications like health care but without any evidence that the monitored activities really took place. In our work, we aim to overcome this limitation and present a multi-modal egocentric-based activity recognition approach which is able to recognize the critical objects. As it is unfeasible to expect always a high quality camera view, we enrich the vision features with inertial sensor data that represents the users’ arm movement. This enables us to compensate the weaknesses of the respective sensors. We present first results of our ongoing work on this topic.
关键词： interaction sensors,Human activity recognition,pervasive computing,wearable computers,inertial sensors,multi-modal egocentric-based activity recognition
更新于2025-09-04 15:30:14