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Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing

Olli Lahdenoja, Tero Hurnanen, Mojtaba Jafari Tadi, Mikko Pankaala, Tero Koivisto
2016 2016 Computing in Cardiology Conference (CinC)   unpublished
This paper describes a method for estimation of heart rate (HR) and heart rate variability (HRV) with accelerometers and gyroscopes.  ...  The study provides a promising approach for HRV estimation with modern wearable devices.  ...  Introduction In this paper, we consider accurate extraction of heartbeat intervals with modern micro electromechanical (MEMS) accelerometers and gyroscopes.  ... 
doi:10.22489/cinc.2016.209-166 fatcat:j7fbxn2ygrcclif5bqkxmduxru

A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating

Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén
2019 Sensors  
Our sensing modality in the context of this paper is a single dual sensor unit, including accelerometer and gyroscope sensors to measure chest movements in three different orientations.  ...  Since accelerometer- and gyroscope-derived respiration signals represent the inclination of the chest, they are similar in morphology and have the same units.  ...  Turku University Hospital and Åbo Akademi University.  ... 
doi:10.3390/s19194137 pmid:31554282 pmcid:PMC6811750 fatcat:777bcl2n3fbu7g54ey4cum2dza

Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables

Mojtaba Jafari Tadi, Eero Lehtonen, Antti Saraste, Jarno Tuominen, Juho Koskinen, Mika Teräs, Juhani Airaksinen, Mikko Pänkäälä, Tero Koivisto
2017 Scientific Reports  
Gyrocardiography (GCG) is a new non-invasive technique for assessing heart motions by using a sensor of angular motion -gyroscope -attached to the skin of the chest.  ...  Annotation of underlying fiducial points in GCG is presented and compared to opening and closing points of heart valves measured by a pulse wave Doppler.  ...  Acknowledgements The study was conducted within the Finnish National Research Institutes, Turku PET and Heart Centers, supported by the Academy of Finland, University of Turku, Turku University Hospital  ... 
doi:10.1038/s41598-017-07248-y pmid:28754888 pmcid:PMC5533710 fatcat:ehaa6hi6qrggxcl2r6afar3qam

VRACK: Measuring pedal kinematics during stationary bike cycling

Amir B. Farjadian, Qingchao Kong, Venkata K. Gade, Judith E. Deutsch, Constantinos Mavroidis
2013 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)  
Ankle impairment and lower limb asymmetries in strength and coordination are common symptoms for individuals with selected musculoskeletal and neurological impairments.  ...  The enhanced VRACK system can serve as a rehabilitation device to monitor biomechanical and physiological variables during cycling on a stationary bike.  ...  ACKNOWLEDGEMENTS This work was supported by the National Institutes of Health (NIH) with the grant R41 HD54261 (PI Judith Deutsch).  ... 
doi:10.1109/icorr.2013.6650453 pmid:24187270 dblp:conf/icorr/FarjadianKGDM13 fatcat:qcizl2drmrg5lf3at5aiulb5xm

Behavioral Dynamics in Swimming: The Appropriate Use of Inertial Measurement Units

Brice Guignard, Annie Rouard, Didier Chollet, Ludovic Seifert
2017 Frontiers in Psychology  
., speed, stroke length, stroke rate) of human aquatic locomotion and their variability can be assessed using IMUs.  ...  We then review the way high-order parameters are assessed and the adaptive role of movement and coordination variability in swimming.  ...  ACKNOWLEDGMENT The authors thank Omar Ayad, Jérémie Boulanger, and Dominic Orth for their advice during the writing of this manuscript.  ... 
doi:10.3389/fpsyg.2017.00383 pmid:28352243 pmcid:PMC5348530 fatcat:nyxixk5gnfgb3jnj637thzhgq4

Precordial Vibrations: A Review of Wearable Systems, Signal Processing Techniques, and Main Applications

Francesca Santucci, Daniela Lo Presti, Carlo Massaroni, Emiliano Schena, Roberto Setola
2022 Sensors  
For what concerns wearable-based methods, cardiac vibrations can be recorded from the thorax in the form of acceleration, angular velocity, and/or displacement by means of accelerometers, gyroscopes, and  ...  Lastly, the explored application scenarios and experimental protocols with the relative influencing factors are discussed for each technique.  ...  ., HR extraction and heartbeat duration), extraction of heart rate variability (HRV), and estimation of hemodynamic parameters.  ... 
doi:10.3390/s22155805 fatcat:fqkk74lc4fdspkprfidycnx3xm

Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice

Bruce H. Dobkin, Clarisa Martinez
2018 Current Neurology and Neuroscience Reports  
Research software and activity-recognition algorithms are beginning to provide ground truth about gait cycle variables and reveal purposeful arm actions.  ...  Upper-extremity sensing is mostly limited to simple inertial activity counts.  ...  Indeed, HR accuracy from wrist sensors is less than expected, declines at higher heart rates, and leads to energy expenditure estimates that can exceed 25% median error rates [22•, 23] .  ... 
doi:10.1007/s11910-018-0896-5 fatcat:5eku4jpqsza7tc6yvi4fjgj3gy

Wearable technology for biomechanics: e-textile or micromechanical sensors? [Conversations in BME]

Peter Veltink, Danilo De Rossi
2010 IEEE Engineering in Medicine and Biology Magazine  
It has been demonstrated that 3-D orientation can be accurately estimated by fusing the information derived from accelerometers with the angular velocity information measured by rate gyroscopes [19] ,  ...  Inertial sensors, accelerometers, and rate gyroscopes provide quantitative information about acceleration and angular velocity from which we can estimate orientation and change of position through adequate  ... 
doi:10.1109/memb.2010.936555 pmid:20659856 fatcat:3kvwo4g7qjbnpaixdq7bmvfimu

Ambient Assisted Living: A Research on Human Activity Recognition and Vital Health Sign Monitoring using Deep Learning Approaches

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The rise in life expectancy rate and dwindled birth rate in new age society has led to the phenomenon of population ageing which is being witnessed across the world from past few decades.  ...  In order to effectively deal with the prevailing phenomenon, stakeholders involved are coming up with the Information and Communication Technology (ICT) based ecosystem to address the needs of elderly  ...  Accelerometer along with gyroscope and magnetometer are mostly frequently used for activity recognition.  ... 
doi:10.35940/ijitee.f1111.0486s419 fatcat:5mtkrtx54ndtbn2oms6ij7s5xy

Sensing Movement: Microsensors for Body Motion Measurement

Hansong Zeng, Yi Zhao
2011 Sensors  
With their lower cost and increased intelligence, man-made motion sensors are expected to play an increasingly important role in biomedical systems for basic research as well as clinical diagnostics.  ...  This paper reviews the state-of-the-art sensing components utilized for body motion measurement.  ...  Acknowledgements The authors acknowledge the supports from Institute for Materials Research, Mathematical Biosciences Institute, and Alumni Grants for Graduate Research and Scholarship (AGGRS) at the Ohio  ... 
doi:10.3390/s110100638 pmid:22346595 pmcid:PMC3274064 fatcat:7jfihqgwuvhydifhprehdp45xy

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  
A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market.  ...  Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent.  ...  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

Review of Wearable Devices and Data Collection Considerations for Connected Health

Vini Vijayan, James Connolly, Joan Condell, Nigel McKelvey, Philip Gardiner
2021 Sensors  
Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes.  ...  Wearable sensors can typically assess and quantify the wearer's physiology and are commonly employed for human activity detection and quantified self-assessment.  ...  Smart Electro-Clothing Systems (SeCSs) [41] Heart Health Monitoring Surface electromyography (sEMG); HR, heart rate variability.  ... 
doi:10.3390/s21165589 pmid:34451032 pmcid:PMC8402237 fatcat:qubolay6wjb35orvkwtunwz7e4

Dance Motion Capture Based on Data Fusion Algorithm and Wearable Sensor Network

Yueru Li, Zhihan Lv
2021 Complexity  
In this paper, joint parameter estimation algorithm based on human joint constraints and limb length estimation algorithm based on closed joint chains are proposed, respectively.  ...  The trained model is then tested by combining the collected gesture data with the algorithmic model to recognize and classify the gesture data, observe its recognition accuracy, and continuously optimize  ...  , and the second method estimates limb lengths by forming a closed joint chain with two different limb ends. e experimental results show that the estimation of human parameters based on the closed joint  ... 
doi:10.1155/2021/2656275 fatcat:2rrfueo325dydfr5kzjpthwvia

Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals

Olli Lahdenoja, Mojtaba Jafari Tadi, Matti Kaisti, Timo Knuutila, Mikko P�nk��l�, Tero Koivisto
2017 2017 Computing in Cardiology Conference (CinC)  
used this assessment to determine if the segment is usable for further processing steps, such as heart beat estimation.  ...  In principle, this is a suitable approach and can be justified by its straightforward implementation and applicability.  ...  In the case of multi-dimensional mechanocardiography (MCG), which is based on joint accelerometers and gyroscopes, both intra and inter-subject variability between persons is large (in comparison with  ... 
doi:10.22489/cinc.2017.131-071 dblp:conf/cinc/LahdenojaTKKPK17 fatcat:ak6x7iyr75b7pgxirpgmk5orki

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.  ...  Signals from EIP, accelerometer, gyroscope, and ECG were acquired in 250 Hz sample rate.  ... 
doi:10.1007/s40846-017-0247-z pmid:30220900 pmcid:PMC6132375 fatcat:jqzfgfe56fbb5mrwyu4j2lv3rq
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