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Detection and analysis of pulse waves during sleep via wrist-worn actigraphy

Johannes Zschocke, Maria Kluge, Luise Pelikan, Antonia Graf, Martin Glos, Alexander Müller, Rafael Mikolajczyk, Ronny P. Bartsch, Thomas Penzel, Jan W. Kantelhardt, Tomohiko Ai
2019 PLoS ONE  
In this paper, we demonstrate and evaluate an approach to identify pulse waves and heartbeats from acceleration data of the human wrist during sleep.  ...  Our approach could be used to obtain long-term nocturnal heartbeat interval time series and pulse wave signals from wrist-worn accelerometers without the need of recording ECG or photoplethysmography.  ...  analysis of pulse waves during sleep via wrist-worn actigraphy Table 2 ) 2 , (iii) all PWI associated with RRI, and (iv) the total set of all detected PWI.  ... 
doi:10.1371/journal.pone.0226843 pmid:31891612 pmcid:PMC6938353 fatcat:xpg2e3kecbhpzijvcbke4sks2y

Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors

Titus Jayarathna, Gaetano D Gargiulo, Paul P Breen
2020 Sensors  
In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and  ...  VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion.  ...  The magnitude of the respiration signal and pulse signal from the left-side band compared to heartbeat captured from a finger-worn pulse transducer.  ... 
doi:10.3390/s20061583 pmid:32178307 pmcid:PMC7146453 fatcat:pwwkpawctjbm3lfyz33gd3lkoy

Sleep Monitoring Based on a Tri-Axial Accelerometer and a Pressure Sensor

Yunyoung Nam, Yeesock Kim, Jinseok Lee
2016 Sensors  
Such parameters include non-REM sleep time, the number of apneic episodes, and sleep durations for dominant poses.  ...  Sleep disorders are a common affliction for many people even though sleep is one of the most important factors in maintaining good physiological and emotional health.  ...  From the figure, signals obtained from the PSG can be reconstructed for estimating HR and RR, signals obtained from a pressure sensor cannot be reconstructed due to motion artifacts.  ... 
doi:10.3390/s16050750 pmid:27223290 pmcid:PMC4883440 fatcat:l3v63sfitbhyzlu5vcspnl2j3m

Naptics

Andrew Carek, Christian Holz
2018 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
Naptics detects the micro-vibrations of the wearer's body that stem from the heartbeat and senses the optical reflections from the pulse wave as it propagates down the wearer's leg.  ...  Since these inflations happen in intervals of thirty minutes to one hour, they cause considerable sleep disturbances that lead to false measurements and impact the person's quality of sleep.  ...  Naptics extracts pulse transit time values from the delay between ballistocardiography events and pulse wave events at an arterial site.  ... 
doi:10.1145/3264906 fatcat:llsdolldtnfnzacwqnjmakbe2y

Table of Contents

2022 IEEE Transactions on Biomedical Engineering  
Nahavandi 818 Reconstruction of Pulse Wave and Respiration From Wrist Accelerometer During Sleep . . . . . . . . . J.  ...  Kidmose 689 Investigation on Pulse Wave Forward Peak Detection and Its Applications in Cardiovascular Health . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tbme.2021.3139869 fatcat:5yjjgrc57vcyhljywejvnusyui

An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring

Roberto De Fazio, Marco Stabile, Massimo De Vittorio, Ramiro Velázquez, Paolo Visconti
2021 Electronics  
In this field, several processing tools are employed to extract the respiratory parameters from inertial data; therefore, an overview of algorithms and methods to determine the respiratory rate from acceleration  ...  Afterwards, the state-of-art about wearable devices to monitor the respiratory parameters, based on inertial sensors (i.e., accelerometers and gyroscopes), is presented for detecting dysfunctions or pathologies  ...  To extract the information due to the pulse wave and RR, they noted that the breathing signal had a frequency notably higher than the pulse-induced one, ranging from 100 to 400 Hz.  ... 
doi:10.3390/electronics10172178 fatcat:urxfracvunb4fmjumhiwezgp4u

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep [article]

Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh
2021 arXiv   pre-print
In this paper, we present a comprehensive survey of the latest research works (2015 and after) conducted in various categories of sleep monitoring including sleep stage classification, sleep posture recognition  ...  In the end, we discuss several open issues and provide future research directions in the area of sleep monitoring.  ...  One other group of studies focuses on monitoring vital signs such as respiration and heart rate during sleep [27] .  ... 
arXiv:2104.12964v1 fatcat:5my5gmcmz5a2vpalkpefesfbgm

Wearable sensors for monitoring the internal and external workload of the athlete

Dhruv R. Seshadri, Ryan T. Li, James E. Voos, James R. Rowbottom, Celeste M. Alfes, Christian A. Zorman, Colin K. Drummond
2019 npj Digital Medicine  
The convergence of semiconductor technology, physiology, and predictive health analytics from wearable devices has advanced its clinical and translational utility for sports.  ...  shown to reduce the risk of injuries and improve performance and has enabled the development of athlete-centered protocols and treatment plans by team physicians and trainers.  ...  ACKNOWLEDGEMENTS D.R.S. and C.K.D. acknowledge financial support from the Brenda A. and Robert M. Aiken Strategic Initiative.  ... 
doi:10.1038/s41746-019-0149-2 pmid:31372506 pmcid:PMC6662809 fatcat:yr6asbvjhre4ve3u6xj7wilw44

Discrete Wavelet Transforms-Based Analysis of Accelerometer Signals for Continuous Human Cardiac Monitoring

Hany Ferdinando, Eveliina Seppälä, Teemu Myllylä
2021 Applied Sciences  
Measuring cardiac activity from the chest using an accelerometer is commonly referred to as seismocardiography.  ...  Performance evaluations were conducted on signals recorded from small children and adults based on missing and additional peaks.  ...  Similar to PCG, a typical accelerometer signal includes S1 and S2 waves of each cardiac cycle.  ... 
doi:10.3390/app112412072 fatcat:zpkjvc5lmfcypg6k4vxcljqrju

PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask [article]

Soha Rostaminia, S. Zohreh Homayounfar, Ali Kiaghadi, Trisha L. Andrew, Deepak Ganesan
2021 arXiv   pre-print
We propose PhyMask, an all-textile sleep monitoring solution that is practical and comfortable for continuous use and that acquires all signals of interest to sleep solely using comfortable textile sensors  ...  We show that PhyMask can be used to accurately measure sleep stages and advanced sleep markers such as spindles and k-complexes robustly in the real-world setting.  ...  We also use a pressure-sensitive, ionic fabric electrode to capture pulse wave-forms from the head.  ... 
arXiv:2106.07645v2 fatcat:x43o4ki635c47dp3sgkgyijdvu

A review of signals used in sleep analysis

A Roebuck, V Monasterio, E Gederi, M Osipov, J Behar, A Malhotra, T Penzel, G D Clifford
2013 Physiological Measurement  
This article presents a review of signals used for measuring physiology and activity during sleep and techniques for extracting information from these signals.  ...  Both univariate and data fusion (exploiting the diverse characteristics of the primary recorded signals) approaches are discussed, together with a comparison of automated methods for analysing sleep.  ...  GTC T-30 from DGA (Spain) and European Social Fund (EU).  ... 
doi:10.1088/0967-3334/35/1/r1 pmid:24346125 pmcid:PMC4024062 fatcat:xfav5qvutndgzmoazmzw65rfuy

A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases

Wei Jiang, Sumit Majumder, Sophini Subramaniam, Xiaohe Li, Ridha Khedri, Tapas Monday, Mansour Abolghasemian, Imran Satia, M. Jamal Deen
2021 IEEE Reviews in Biomedical Engineering  
system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases.  ...  We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature  ...  Researchers in [90] also proposed a wrist-based system that is capable of extracting HR, HRV, and SpO 2 from a commercial wrist-worn pulse oximeter device (Wavelet Health sensor).  ... 
doi:10.1109/rbme.2021.3069815 pmid:33784625 pmcid:PMC8905615 fatcat:xw3ogpmdxzft3fipcvvqjmk5km

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  
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.  ...  The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring.  ...  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

Unobtrusive Sleep Monitoring Using Movement Activity by Video Analysis

Yuan-Kai Wang, Hong-Yu Chen, Jian-Ru Chen
2019 Electronics  
The challenge of video surveillance for sleep behavior analysis is that we have to tackle bad image illumination issue and large pose variations during sleeping.  ...  Sleep pose experiments are given to examine the accuracy of joint detection and tacking, and the accuracy of sleep poses.  ...  The authors gratefully acknowledge the support of Chia-Mo Lin and Hou-Chang Chiu for their valuable comments in obstructive sleep apnea.  ... 
doi:10.3390/electronics8070812 fatcat:ditgc4n5ordxzpskqrhppuso6q

Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring

Jesse Fine, Kimberly L. Branan, Andres J. Rodriguez, Tananant Boonya-ananta, Ajmal, Jessica C. Ramella-Roman, Michael J. McShane, Gerard L. Coté
2021 Biosensors  
(e.g., respiration, venous pulsation, body site of measurement, and body temperature), and external perturbations of the device itself (e.g., motion artifact, ambient light, and applied pressure to the  ...  A wearable monitoring tool to be used beyond fitness and heart rate must account for noise sources originating from individual patient variations (e.g., skin tone, obesity, age, and gender), physiology  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bios11040126 pmid:33923469 fatcat:4pdazyifuvbqzeoizytczuvptq
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