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Ballistocardiogram signal processing: a review

Ibrahim Sadek, Jit Biswas, Bessam Abdulrazak
2019 Health Information Science and Systems  
An alternative approach which may help diagnose OSA and other cardiovascular diseases is the ballistocardiography.  ...  In practice, BCG sensors are placed under bed mattresses for sleep tracking, and hence several factors, e.g., mattress thickness, body movements, motion artifacts, bed-partners, etc. can deteriorate the  ...  Moreover, due to the high intrinsic resistance and bubble structure, the charge perseveres for a long time.  ... 
doi:10.1007/s13755-019-0071-7 pmid:31114676 pmcid:PMC6522616 fatcat:gmtcvuntybbjfcalmzvxoparne

Ballistocardiogram Signal Processing: A Literature Review [article]

Ibrahim Sadek
2018 arXiv   pre-print
This is usually done by taking the fast Fourier transform or the inverse Fourier transform of the logarithm of the estimated spectrum, i.e., cepstrum of the signal using a sliding window.  ...  This is because the BCG signal does not display consistent J-peaks, which can usually be the case for overnight, in-home monitoring, particularly with frail elderly.  ...  Index Terms-Ballistocardiogram, Vita signs, Nonintrusive monitoring, Technology and services for home care. I.  ... 
arXiv:1807.00951v1 fatcat:t4l6c6ulzve6vetme3cusxpebq

A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket Conditions

Andy Yiu-Chau Tam, Bryan Pak-Hei So, Tim Tin-Chun Chan, Alyssa Ka-Yan Cheung, Duo Wai-Chi Wong, James Chung-Wai Cheung
2021 Sensors  
Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of falling out of bed.  ...  The system uses an infrared depth camera for data acquisition and a convolutional neural network to classify sleeping postures.  ...  For example, a prolonged non-symmetrical sleeping posture might lead to structural spinal changes and symptoms [12, 13] .  ... 
doi:10.3390/s21165553 pmid:34450994 pmcid:PMC8402261 fatcat:t7ccpk6szvap5ayxotqsj4um6e

Ballistocardiography and Seismocardiography: A Review of Recent Advances

Omer T. Inan, Pierre-Francois Migeotte, Kwang-Suk Park, Mozziyar Etemadi, Kouhyar Tavakolian, Ramon Casanella, John Zanetti, Jens Tank, Irina Funtova, G. Kim Prisk, Marco Di Rienzo
2015 IEEE journal of biomedical and health informatics  
In the past decade, there has been a resurgence in 6 the field of unobtrusive cardiomechanical assessment, through 7 advancing methods for measuring and interpreting ballistocardio-8 gram (BCG) and seismocardiogram  ...  Although there was also a study done 330 for sleep stage classification into four levels (wake/REM/deep 331 sleep/light sleep) with ECG [60], four-level sleep stage clas-332 sification with BCG is not  ...  (a) PVDF sensor installed into the bed for BCG measurements during sleep.  ... 
doi:10.1109/jbhi.2014.2361732 pmid:25312966 fatcat:wny6ndbnovhb5i5ft3kjqcl224

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
Studies are being conducted for sleep monitoring and have now become an important tool for understanding sleep behavior.  ...  We also present some publicly available datasets for different categories of sleep monitoring.  ...  [59] presented a survey on the use of nonintrusive technologies for sleep monitoring.  ... 
arXiv:2104.12964v1 fatcat:5my5gmcmz5a2vpalkpefesfbgm

Accurate Heartbeat Detection on Ballistocardiogram Accelerometric Traces

Niccolo Mora, Federico Cocconcelli, Guido Matrella, Paolo Ciampolini
2020 IEEE Transactions on Instrumentation and Measurement  
This article presents an automated procedure for acquisition and analysis of BallistoCardioGraphy (BCG) traces.  ...  The quality of J-peaks timing annotation is further demonstrated by a very low discrepancy between BCG and ECG heart rate (HR) estimates.  ...  Riccardo Piazza for his contribution in developing part of the measurement system and for the help in data collection.  ... 
doi:10.1109/tim.2020.2998644 fatcat:6kx3gvibezd7xcxdvvh37n32t4

Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors

J. Hernandez, Y. Li, J. M. Rehg, R. W. Picard
2015 EAI Endorsed Transactions on Pervasive Health and Technology  
We show it is possible to achieve a mean absolute error of 0.82 beats per minute (STD: 1.98) for heart rate and 0.6 breaths per minute (STD: 1.19) for respiration rate when considering different observation  ...  This material is based upon work supported by Google, the National Science Foundation (NSF 1029585 and NSF 1029679), the MIT Media Lab Consortium, and the Intel Science and Technology Center for Pervasive  ...  These results are promising for nonintrusive physiological assessments. However, the location and types of sensors of this study are different, and can have an impact on the statistics.  ... 
doi:10.4108/phat.1.1.e2 fatcat:o3h5ufhmu5efxj5yl5wkga6pyy

Wearable Devices for Physical Monitoring of Heart: A Review

Guillermo Prieto-Avalos, Nancy Aracely Cruz-Ramos, Giner Alor-Hernández, José Luis Sánchez-Cervantes, Lisbeth Rodríguez-Mazahua, Luis Rolando Guarneros-Nolasco
2022 Biosensors  
and privacy of the patient's medical information, have adaptability to any data storage system, and have reasonable costs with regard to the traditional scheme where the patient must go to a hospital for  ...  Noncommercial wearables focus on monitoring electrocardiogram and photoplethysmography data, and they mostly include accelerometers and smartwatches for detecting atrial fibrillation and heart failure.  ...  These devices are small, lightweight, nonintrusive, and easy to use.  ... 
doi:10.3390/bios12050292 fatcat:iibc2ikevzhddfa7pohkdmzsje

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 3505318 Nonintrusive Inspection of Moisture Damp in Composited Insulation Structure Based on Terahertz Technology.  ...  ., +, TIM 2021 7001808 Nonintrusive Inspection of Moisture Damp in Composited Insulation Structure Based on Terahertz Technology.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Optical Fiber Gratings in Perspective of Their Applications in Biomedicine [chapter]

Vandana Mishra, Nahar Singh
2012 Biomedicine  
The authors acknowledge Dr Pawan Kapur, Director CSIR-CSIO for his motivation and encouragement.  ...  They thank Mr SC Jain, Mr Umesh Tiwari and Mr GC Poddar from CSIR-CSIO, Chandigarh for their help and cooperation.  ...  of patient on bed in a continuous, nonintrusive and robust manner.  ... 
doi:10.5772/38429 fatcat:vr5b6m4q6bbwtcq7cqvbsul75u

Visual analysis of faces with application in biometrics, forensics and health informatics [article]

Mohammad Ahsanul Haque
2016 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
Thus, monitoring sleep and detecting possible causes of sleep disturbances are of high importance for revealing causes of disturbed sleep.  ...  Sleeping Disorders Another potential problem, again mostly relevant for scenarios 2 and 3 but also valid for type 1, is disturbances in sleep.  ...  The traditional methods for measuring such this signal use contact-based sensors that need to be installed on the subject's body. Though  ... 
doi:10.5278/ fatcat:445elv6ftfcw3lhg7svwqx3ifu

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Altaf, A., +, JIoT May 1, 2021 7497-7509 Buildings (structures) A Robust Heading Estimation Solution for Smartphone Multisensor-Integrated Indoor Positioning.  ...  ., +, JIoT Feb. 15, 2021 3027-3041 Joint User Activity Identification and Channel Estimation for Grant-Free NOMA: A Spatial-Temporal Structure-Enhanced Approach.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y