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Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing
2017
Journal of Medical and Biological Engineering
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The smart clothing can provide accurate respiratory rate estimation by using three different techniques (Naïve Bayes inference, static Kalman filter, and dynamic Kalman filter). ...
The wearable smart clothing integrated with heterogeneous sensors is capable to measure multiple human biosignals (ECG and respiration), acceleration, and gyro information. ...
Algorithms have been developed to merge multiple sensors for more accurate, and stable respiration estimation, such as respiratory rate and heart rate estimation by the adaptive Kalman filter from three ...
doi:10.1007/s40846-017-0247-z
pmid:30220900
pmcid:PMC6132375
fatcat:jqzfgfe56fbb5mrwyu4j2lv3rq
Recent development of respiratory rate measurement technologies
2019
Physiological Measurement
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According to the theory of respiratory rate extraction, methods are categorized into three modalities: extracting RR from other physiological signals, RR measurement based on respiratory movements, and ...
Respiratory rate (RR) is an important physiological parameter whose abnormality has been regarded as an important indicator of serious illness. ...
By fusing gyroscopic results by Kalman filtering, the error rate in RR estimation declined from 11.7% of accelerometeric results to 7.3% (Yoon et al 2014) . ...
doi:10.1088/1361-6579/ab299e
pmid:31195383
fatcat:6emlkclrovcavegvsbzche2vhu
The Agenda of Wearable Healthcare
2005
IMIA Yearbook of Medical Informatics
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The state-of-the-art enabling technologies – mainly miniaturization of electronics and sensors combined with wireless communication and recent developments in wearable and pervasive computing are presented ...
The PHA comprises a wearable sensing and communicating system, seamlessly embedded in our daily outfit. Several onbody sensors identify the biometric and contextual status of the wearer continuously. ...
The author expresses his gratitude to Tünde Kirstein and Paul Lukowicz for their valuable support and discussions. ...
doi:10.1055/s-0038-1638446
fatcat:ammkkgken5fzxlnibz7kohfgay
The Agenda of Wearable Healthcare
2005
IMIA Yearbook of Medical Informatics
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The state-of-the-art enabling technologies -mainly miniaturization of electronics and sensors combined with wireless communication -and recent developments in wearable and pervasive computing are presented ...
The PHA comprises a wearable sensing and communicating system, seamlessly embedded in our daily outfit. Several onbody sensors identify the biometric and contextual status of the wearer continuously. ...
The author expresses his gratitude to Tünde Kirstein and Paul Lukowicz for their valuable support and discussions. ...
pmid:27706307
fatcat:ldreen4xuvdyfjye3pafmo3ghu
Wearable Sensors for Remote Health Monitoring
2017
Sensors
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A survey on textile-based sensors that can potentially be used in wearable systems is also presented. ...
However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant burdens on the socio-economic structure ...
Motion artifacts are estimated in real-time using an adaptive LMS filter and subtracted from the ECG signal before amplification. ...
doi:10.3390/s17010130
pmid:28085085
pmcid:PMC5298703
fatcat:yfaefdzq6rcqlnhycg5khw7f6y
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices
2016
Sensors
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The concept of AAL also includes the use of sophisticated intelligent sensor networks combined with ubiquitous computing applications with new concepts, products and services for P4-medicine (preventive ...
Off-the-shelf mobile devices may include an accelerometer, a magnetometer, an ambient air temperature sensor, a pressure sensor, a light sensor (e.g., photometer), a humidity sensor, an air pressure sensor ...
Author Contributions: All of the authors have contributed to the structure, content and writing of the paper. ...
doi:10.3390/s16020184
pmid:26848664
pmcid:PMC4801561
fatcat:ushwthv6xrcgbi7lc2sejwgtje
Unobtrusive Sensing and Wearable Devices for Health Informatics
2014
IEEE Transactions on Biomedical Engineering
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sensing methods, (2) smart textile technology, (3) flexible-stretchable-printable electronics, and (4) sensor fusion, and then to identify some future directions of research. ...
, and use of health information, has emerged as an active area of interdisciplinary research. ...
integrated sensors for the measurement of ECG, heart rate, respiration, and activity monitoring [44] ; (f) the VTAMN system for the measurement of heart rate, breathing rate, body temperature, and activity ...
doi:10.1109/tbme.2014.2309951
pmid:24759283
pmcid:PMC7176476
fatcat:6out72voongjldwm4qahzbjx4q
A Survey of Body Sensor Networks
2013
Sensors
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The technology of sensor, pervasive computing, and intelligent information processing is widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor networks (WSNs). ...
The research work on sensor design and use mainly focuses on the wearability of sensor nodes [19], the capacity of fault diagnosis and fault treatment [20], energy consumption [21] and sensor deployment ...
We thank Feng Xia for his suggestion about organization of content, Xingliang Pan for his English polishing, and especially Daowei Cheng for his outstanding work of material collection. ...
doi:10.3390/s130505406
pmid:23615581
pmcid:PMC3690007
fatcat:3etbvzzqrrchvgq54d6k2w4miu
The Concept of Advanced Multi-Sensor Monitoring of Human Stress
2021
Sensors
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The results will be obtained from several physiological variables including electrodermal activity, heart rate and respiration, body temperature, blood pressure and others. ...
All these variables will be measured using a coherent multi-sensors device. ...
, which contains an ECG sensor together with an accelerometer and a skin temperature sensor. ...
doi:10.3390/s21103499
pmid:34067895
pmcid:PMC8157129
fatcat:sxlhogcqenerzgg6kidjdnujvq
Application of data fusion techniques and technologies for wearable health monitoring
2017
Medical Engineering and Physics
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This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. ...
Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. ...
Acknowledgements This work was performed under the SPHERE IRC funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/K031910/1. ...
doi:10.1016/j.medengphy.2016.12.011
pmid:28237714
fatcat:mqllh4yagnhgdn7vs4zcoqzkim
Development of Novel Big Data Analytics Framework for Smart Clothing
2020
IEEE Access
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The results obtained from the experiments showed that ECG signals could be portably obtained and filtered using the developed adaptive algorithm to determine the heart rate in Beats Per Minute (BPM). ...
An adaptive filtering algorithm has been designed using Butterworth high pass filter to rectify the gathered signals. Fig. 8 shows an example of raw ECG signal and corresponding filtered signal. ...
His current research activities include Industry 4.0 applications, renewable power systems, smart sensing, intelligent control and monitoring algorithms used for electromechanical power plants. ...
doi:10.1109/access.2020.3015152
fatcat:xmu5qslkhneu5jix7xgngtwqge
Human Vital Signs Detection Methods and Potential Using Radars: A Review
2020
Sensors
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Conventional clinical methods of detecting these vital signs require the use of contact sensors, which may not be practical for long duration monitoring and less convenient for repeatable measurements. ...
This paper presents a thorough review on the traditional methods of monitoring cardio-pulmonary rates as well as the potential of replacing these systems with radar-based techniques. ...
Cardio-respiratory rates can also be estimated using the extended Kalman filter (EKF) [115] with fair results. ...
doi:10.3390/s20051454
pmid:32155838
pmcid:PMC7085680
fatcat:2ij6mhoiyjfq5jos3vozet2ct4
Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
2018
IEEE Reviews in Biomedical Engineering
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This paper presents a review of the literature on BR estimation from the ECG and PPG. First, the structure of BR algorithms and the mathematical techniques used at each stage are described. ...
A plethora of algorithms have been proposed to estimate BR from the electrocardiogram (ECG) and pulse oximetry (photoplethysmogram, PPG) signals. ...
ACKNOWLEDGMENT The views expressed in this paper are those of the authors and not necessarily those of the Engineering and Physical Sciences Research Council, Wellcome Trust, National Institute for Health ...
doi:10.1109/rbme.2017.2763681
pmid:29990026
pmcid:PMC7612521
fatcat:tcrpgdxe2zcslffffy6zk4tvne
Non-Contact Vital Sign Monitoring in the Clinic
2017
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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Using an off-the-shelf camera and standard ambient light, this thesis proposes data fusion algorithms to compute estimates of heart rate and respiratory rate, and also to detect changes in 2 in a real ...
Using an off-the-shelf camera and standard ambient light, this thesis proposes data fusion algorithms to compute estimates of heart rate and respiratory rate, and also to detect changes in 2 in a real ...
Kalman filters Section 6.8.2 described methods to compute the heart rate estimates using a single Kalman filter. ...
doi:10.1109/fg.2017.43
dblp:conf/fgr/VillarroelJPT17
fatcat:n6gzfcfyondipcdkstic57blie
The Current State of Optical Sensors in Medical Wearables
2022
Biosensors
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This article offers a large overview of optical wearable methods and their modern use with an insight into the future years of technology in this field. ...
The use of optical sensors can bring better methods of continuous diagnostics in the comfort of the home and the development of telemedicine in the 21st century. ...
The output of the accelerometer and the two PPG signals are then processed using motion compensation algorithms, a Kalman filter, and an adaptive notch filter [81] . ...
doi:10.3390/bios12040217
pmid:35448277
pmcid:PMC9029995
fatcat:kd5omfp3cnellb56xbgq32us2a
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