Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals

Ahmadi, Amirhosein Khas; Moradi, Parsa; Malihi, Mahan; Karimi, Sajjad; Shamsollahi, Mohammad Bagher

doi:10.1109/embc.2015.7319800

Cited by 21 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Signal processing techniques employing constrained optimization techniques for peak extraction have been exhaustively researched in beamforming and sonar localization literature [33]- [37] as well as other applications e.g. real-time brain activity and heart rate monitoring [38], [39], to name a few. Signal processing techniques have also been employed for raw instrumental signal interpretation to provide better analysis in determining environmental pollutants [40], [41].…”

Section: B Current State-of-the-art Methodsmentioning

confidence: 99%

Signal Processing Methods to Interpret Polychlorinated Biphenyls in Airborne Samples

et al. 2020

View full text Add to dashboard Cite

The main contribution of this interdisciplinary work is a robust computational framework to autonomously discover and quantify previously unknown associations between well-known (target) and potentially unknown (non-target) toxic industrial air pollutants. In this work, the variability of polychlorinated biphenyl (PCB) data is evaluated using a combination of statistical, signal processing, and graph-based informatics techniques to interpret the raw instrument signal from gas chromatographymass spectrometry (GC/MS/MS) data sets. Specifically, minimum mean-squared techniques from the adaptive signal processing literature are extended to detect and separate coeluted (overlapped) peaks in the raw instrument signal. A graph-based visualization is provided which bridges two complementary approaches to quantitative pollution studies: (i) peak-cognizant target analysis (limits data analysis to few well-known compounds) and (ii) chemometric analysis (statistical large-scale data analysis) that is agnostic of specific compounds. Further, peak fitting techniques based on L2 error minimization are employed to autonomously calculate the amount of each PCB present with a normalized mean square error of-18.4851 dB. Graph-based visualization of associations between known and unknown compounds are developed through principal component analysis and both fuzzy c-means (FCM) and k-means clustering techniques are implemented and compared. The efficiency of these methods are compared using 150 air samples analyzed for individual PCBs with GC/MS/MS against traditional target-only techniques that perform analysis across only the known (target) PCBs. Parameter optimization techniques are employed to evaluate the relative contribution of PCB signals against ten potential source signals representing legacy signatures from historical manufacture of Aroclors and modern sources of PCBs produced as byproducts of pigment and polymer manufacturing. Aroclors 1232, 1254, 1016, and 1221 as well as non-Aroclor 3, 3', dichlorobiphenyl (PCB 11) were found in many of the samples as unique source signals that describe PCB mixtures in air samples collected from Chicago, IL.

show abstract

Section: B Current State-of-the-art Methodsmentioning

confidence: 99%

Signal Processing Methods to Interpret Polychlorinated Biphenyls in Airborne Samples

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Frequency decreases rapidly during the recovery. Therefore, determination of RR dynamics is of great importance for the assessment of a sportsman's reserves because of the high information capacity of this parameter [11]- [14]. Thus, the next valuable PR parameters are RR and BS level.…”

Section: Nguyen Mau Thach 1  Nguyen Trong Tuyen 1 Tranmentioning

confidence: 99%

“…In this relation, it is advantageous to estimate the values of the body PR at a particular point in time, the PR dynamics in time intervals during change of the dozed PS, and also PR dynamics during the recovery of a sportsman's body after training ( Fig. 2) [7], [11].…”

Section: Nguyen Mau Thach 1  Nguyen Trong Tuyen 1 Tranmentioning

confidence: 99%

Method and System for Assessing of Sportsman’s Physiological Reserves During Physical Exercises

Thach

Tuyen

Huu

2019

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

View full text Add to dashboard Cite

Introduction. An assessing of the sportsman's physiological reserve (PR) and its dynamics is important when planning and carrying out a training, forecasting sportsman's results. An importance of this problem increases in highperformance sports, and energy consumption sports. A complexity of solving of this problem is caused by the requirement of taking into account of the complex of the biomedical parameters and formation of an integral parameter. This parameter reflects functioning of various body systems which provide significant income to the sportsman’s result achievement. Objective. Development of the method and the system of PR assessing allowing complex investigation of the PR during the training process. Method and materials. For achievement of the aim the tasks were formulated and solved using methods of biomedical research and engineering, mathematical processing and analysis of the diagnostically valuable parameters. Results. The complex of the biomedical parameters reflecting sportsman’s body metabolism in condition of physical exercises is formed. They are the heart rate, the heart rate variability, the pulse frequency, the systolic and diastolic pressure, the respiratory rate, the blood saturation, and the stress index by Baevsky. It is important for PR assessing to assess parameters characterizing sportsman’s physiological reserves at the current moment and its dynamics. The circle diagram is proposed for taking into account of all mentioned parameters and its variation dynamics. The value of the integral PR parameter is an area of a polygon, which is obtained on the circle diagram using normalized values of the diagnostically significant parameters. The method of biomedical investigation of the sportsman and the method of PR assessing based on the complex of the body system parameters are developed. The scheme of assessing of sportsman's body physiological reserves before and after the training is proposed. The scheme allows to assess not only sportsman's body energy consumption during the training but also its recovery after the training. General structures of the biotechnical system and a structures of systems of picking up, registration, processing, and analysis of biomedical signals for assessing of sportsman's physiological reserves are developed. Special attention is given to the development of a wearable device for synchronous registration of the complex of biomedical parameters and algorithms of assessing of the diagnostically significant parameters of sportsman's body physiological reserves. Conclusion. The proposed method of sportsman's physiologic reserves investigation and the structure of the system with spatially distributed architecture allow sport medicine doctor and coach to assess an efficiency of sportsman's training process with respect to his potential capabilities, and efficiently control the training process.

show abstract

“…This was observed to facilitate convergence of the adaptive filters and improved the estimation accuracy, by achieving an AAE of 1.25 BPM. Investigating the same problem [19]- [21] achieved AAE of 1.8, 1.77, and 1.96 BPM respectively.…”

Section: Introductionmentioning

confidence: 98%

RealTime Heart Rate Monitoring Using Photoplethysmographic (PPG) Signals During Intensive Physical Exercises

Farhadi

Essalat

et al. 2016

Preprint

View full text Add to dashboard Cite

Heart Rate (HR) is a fundamental vital sign, monitoring which provides essential information for automated healthcare systems. The emerging technology of Photoplethysmograph (PPG) is shown as a feasible candidate for such applications; however, Motion Artifacts (MA) hinder efficient HR estimation using PPG, especially in situations involving physical activities. It is previously shown that even in the presence of sever MA, HR is still traceable with the help of simultaneous acceleration data although at high computational expenses. In this paper, we propose a novel framework, that not only improves the accuracy in HR estimation, but also achieves realtime performance by significantly reducing the complexity of system; mainly due to alleviation of the need for computationally demanding MA cancellation methods. Utilizing an spectrum estimation model (autoregressive) that suits well to the inherent PPG generation process, and benefiting from further intrinsic properties of the environment (e.g., the venous pulsation phenomenon); our framework achieves realtime and delayed (post-processed) Average Absolute Errors (AAE) of 1.19 and 0.99 Beats Per Minute (BPM) respectively, on the 12 benchmark recordings in which subjects run at speeds of up to 15 km/h maximum. Moreover, the system makes standalone implementation feasible by processing input frames (2 channel PPG and 3D ACC) in < 0.004 times of the frame duration, operating on a 3.2 GHz processor. This study provides wearable healthcare technologies with a robust framework for accurate HR monitoring; at considerably low computational costs.

show abstract

Heart Rate monitoring during physical exercise using wrist-type photoplethysmographic (PPG) signals

Cited by 21 publications

References 5 publications

Signal Processing Methods to Interpret Polychlorinated Biphenyls in Airborne Samples

Signal Processing Methods to Interpret Polychlorinated Biphenyls in Airborne Samples

Method and System for Assessing of Sportsman’s Physiological Reserves During Physical Exercises

RealTime Heart Rate Monitoring Using Photoplethysmographic (PPG) Signals During Intensive Physical Exercises

Contact Info

Product

Resources

About