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Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing

Chien-Lung Shen, Tzu-Hao Huang, Po-Chun Hsu, Ya-Chi Ko, Fen-Ling Chen, Wei-Chun Wang, Tsair Kao, Chia-Tai Chan
2017 Journal of Medical and Biological Engineering  
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

Haipeng Liu, John Allen, Dingchang Zheng, Fei Chen
2019 Physiological Measurement  
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

G. Tröster
2005 IMIA Yearbook of Medical Informatics  
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

G Tröster
2005 IMIA Yearbook of Medical Informatics  
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

Sumit Majumder, Tapas Mondal, M. Deen
2017 Sensors  
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

Ivan Pires, Nuno Garcia, Nuno Pombo, Francisco Flórez-Revuelta
2016 Sensors  
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

Ya-Li Zheng, Xiao-Rong Ding, Carmen Chung Yan Poon, Benny Ping Lai Lo, Heye Zhang, Xiao-Lin Zhou, Guang-Zhong Yang, Ni Zhao, Yuan-Ting Zhang
2014 IEEE Transactions on Biomedical Engineering  
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

Xiaochen Lai, Quanli Liu, Xin Wei, Wei Wang, Guoqiao Zhou, Guangyi Han
2013 Sensors  
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

Erik Vavrinsky, Viera Stopjakova, Martin Kopani, Helena Kosnacova
2021 Sensors  
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

Rachel C. King, Emma Villeneuve, Ruth J. White, R. Simon Sherratt, William Holderbaum, William S. Harwin
2017 Medical Engineering and Physics  
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

M. Ahsan, S. H. Tea, A. Albarbar
2020 IEEE Access  
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

Mamady Kebe, Rida Gadhafi, Baker Mohammad, Mihai Sanduleanu, Hani Saleh, Mahmoud Al-Qutayri
2020 Sensors  
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

Peter H. Charlton, Drew A. Birrenkott, Timothy Bonnici, Marco A. F. Pimentel, Alistair E. W. Johnson, Jordi Alastruey, Lionel Tarassenko, Peter J. Watkinson, Richard Beale, David A. Clifton
2018 IEEE Reviews in Biomedical Engineering  
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

Mauricio Villarroel, Joao Jorge, Chris Pugh, Lionel Tarassenko
2017 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)  
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

Erik Vavrinsky, Niloofar Ebrahimzadeh Esfahani, Michal Hausner, Anton Kuzma, Vratislav Rezo, Martin Donoval, Helena Kosnacova
2022 Biosensors  
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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