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Publications (10 of 35) Show all publications
Tomasic, I., Prkic, A., Lesin, A., Govorko, D. K., Tomasic, N. & Mikic, I. M. (2023). Heart Rate Variability Monitoring with Savvy ECG Sensor During Dental Surgery. In: ICT Electron. Conv., MIPRO - Proc.: . Paper presented at 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings (pp. 363-368). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Heart Rate Variability Monitoring with Savvy ECG Sensor During Dental Surgery
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2023 (English)In: ICT Electron. Conv., MIPRO - Proc., Institute of Electrical and Electronics Engineers Inc. , 2023, p. 363-368Conference paper, Published paper (Refereed)
Abstract [en]

Surgical procedures are accompanied with anxiety and stress for both patients and surgeons. This paper investigates the utility of various heart rate variability parameters, estimated from Savvy patch ECG recordings, obtained on patients during surgical extraction of impacted lower third molars under local anesthesia, to estimate psychological state of the patient, as well as pain levels, in real time. This could be particularly beneficial for patients with chronic conditions, such as cardiovascular diseases, that can deteriorate under psychophysical stress. Statistical analysis showed significant correlation between several heart rate variability parameters and changes in autonomous nervous system functionality. Additionally, there was a significant correlation between several heart rate variability parameters on one side, and patient reported anxiety, pain levels, and the procedure difficulty, on the other.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2023
Keywords
anxiety, dental surgery, heart rate, heart rate variability, local anestesia, pain, Patch ECG, Savvy, stress, Heart, Microelectronics, Surgery, ECG sensors, Heart-rate, Local anestesium, Variability monitoring, Electrocardiograms
National Category
Clinical Medicine
Identifiers
urn:nbn:se:mdh:diva-63916 (URN)10.23919/MIPRO57284.2023.10159941 (DOI)2-s2.0-85164940926 (Scopus ID)9789532331042 (ISBN)
Conference
2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings
Available from: 2023-07-26 Created: 2023-07-26 Last updated: 2023-07-26Bibliographically approved
Carmegren, E., Åstrand, E. & Tomasic, I. (2022). Dependability Evaluation of an Online Pupillometry-based Feedback System for Optimized Training. In: 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings: . Paper presented at 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022, 23 May 2022 through 27 May 2022 (pp. 327-332). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Dependability Evaluation of an Online Pupillometry-based Feedback System for Optimized Training
2022 (English)In: 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2022, p. 327-332Conference paper, Published paper (Refereed)
Abstract [en]

The online pupillometry-based feedback system is intended as a cognitive training and rehabilitation system developed at Mälardalen University. The purpose of the system is to engage a person in a cognitive computer task whose difficulty is adjusted in real time depending on the person's cognitive load. Previous research has uncovered a significant correlation between cognitive load and pupil dilation, suggesting that electroencephalogram usage for estimating cognitive load can be eliminated. The online pupillometry-based feedback system is measuring the pupil-diameter in real time to classify cognitive load using a neural network. The classification of cognitive load is used to modulate the difficulty level of the cognitive task, with the purpose of challenging the participant and to optimize the cognitive training. At the current state the system is fully integrated, but possesses no fault-tolerant features to produce a long-term reliable service. This paper proposes a fault-tolerant architecture for the online pupillometry-based feedback system, for which internal repairs and failure rates are modeled using continuous-time Markov chains. The results show adequacy of the extended architecture, assuming slightly optimistic failure rates. Even though the system is specific, the reliability approach presented can be applied on other medical devices and systems. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2022
Keywords
Cognitive Load Classification, Continuous-Time Markov Chains, Dependability, Fault-Tolerance, Neural Networks, Reliability Evaluation, Computer architecture, Continuous time systems, E-learning, Failure rate, Markov processes, Microelectronics, Network architecture, Cognitive loads, Cognitive training, Continous time Markov chain, Feedback systems, Load classification, Neural-networks, Pupillometry, Fault tolerance
National Category
Computer Sciences
Identifiers
urn:nbn:se:mdh:diva-59617 (URN)10.23919/MIPRO55190.2022.9803542 (DOI)2-s2.0-85133946571 (Scopus ID)9789532331035 (ISBN)
Conference
45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022, 23 May 2022 through 27 May 2022
Available from: 2022-08-03 Created: 2022-08-03 Last updated: 2022-11-25Bibliographically approved
Tomasic, I., Trobec, R. & Lindén, M. (2021). State-Space versus Linear Regression Models between ECG Leads. In: 2021 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 - Proceedings: . Paper presented at 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021, 27 September 2021 through 1 October 2021 (pp. 357-362). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>State-Space versus Linear Regression Models between ECG Leads
2021 (English)In: 2021 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2021, p. 357-362Conference paper, Published paper (Refereed)
Abstract [en]

The first attempts to modeling relationships between electrocardiographic leads, were based on measuring lead vectors by using models of human torso (deterministic approach), and by estimating liner regression models between leads of interest (statistical models). Among the most recent attempts, one of the most prominent is the state-space models approach, because of better noise immunity compared to mean squared error estimated statistical models. This study uses state-space models to synthesize precordial leads and Frank leads, from leads I, II, and V1. The synthesis was evaluated with the linear correlation coefficient (CC) on 200 measurements from the Physionet's PTB diagnostic ECG database. The results show better performance of regression models (mean CC between 0.88 and 0.96) than the state-space models (mean CC between 0.78-0.86). The leads were not pre-aligned for the R-peaks, which can be the main cause for the lower performances of state-space models, as a previous study has also shown. Residual baseline wander (after filtering) was the dominant reason for not obtaining better synthesis results with both methods. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2021
Keywords
ECG, electrocardiogram, lead reconstruction, lead synthesis, linear regression, signal estimation, state-space models
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-57197 (URN)10.23919/MIPRO52101.2021.9596797 (DOI)2-s2.0-85123052842 (Scopus ID)9789532331011 (ISBN)
Conference
44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021, 27 September 2021 through 1 October 2021
Available from: 2022-02-02 Created: 2022-02-02 Last updated: 2022-11-09Bibliographically approved
Prkic, A., Tomasic, I., Lesin, A., Becic, T., Govorko, D. K. & Mikic, I. M. (2021). Using patch ECG device during lower third molar surgery. International Journal of Information Systems and Supply Chain Management (IJISSCM), 10(4)
Open this publication in new window or tab >>Using patch ECG device during lower third molar surgery
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2021 (English)In: International Journal of Information Systems and Supply Chain Management (IJISSCM), ISSN 1935-5726, E-ISSN 1935-5734, Vol. 10, no 4Article in journal (Refereed) Published
Abstract [en]

This study aimed to evaluate cardiac activity changes during lower third molar surgery concerning gender and anxiety levels. Thirty healthy subjects who required lower third molar surgery filled out Norman Corah dental anxiety scale (DAS) before surgery. A patch ECG device (Savvy, Institute ''Jožef Stefan'', Ljubljana, Slovenia) was applied to the patient to evaluate heart rate (HR) and heart rhythm. These parameters were assessed in 8 different intervals. Periods of the highest mean HR values-incision and flap elevation compared to the period with minimal mean HR values-during suturing showed statistical significance difference (p<0.05). The most common outstanding ECG finding was sinus tachycardia, especially in anxious compared to non-anxious patients. Extraction difficulty score was correlated with the procedure duration time and with the abnormal ECG findings in the period of tooth extraction. Significant cardiac activity changes are detected during surgery. Physiological manifestations of anxiety may be evaluated successfully using a patch ECG device. Copyright 

Place, publisher, year, edition, pages
IGI Global, 2021
Keywords
Bradycardia, Cardiovascular system, Corah's dental anxiety scale, Dental anxiety, Electrocardiography, Oxygen saturation, Tachycardia, Third molar surgery, Extraction, Heart, Anxiety levels, Cardiac activity, Duration time, ECG devices, Healthy subjects, Heart rates, Statistical significance, Tooth extraction, Surgery
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-55918 (URN)10.4018/IJRQEH.2021100102 (DOI)2-s2.0-85114288758 (Scopus ID)
Available from: 2021-09-16 Created: 2021-09-16 Last updated: 2023-05-11Bibliographically approved
Lešin, A., Mikić, I. M., Bandić, R., Vodanović, K., Kekez, I. V., Bečić, T., . . . Govorko, D. K. (2021). Wireless ECG device for heart rhythm monitoring during dental extractions-a pilot study. In: 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech): . Paper presented at 6th International Conference on Smart and Sustainable Technologies (SpliTech) (pp. 1-7).
Open this publication in new window or tab >>Wireless ECG device for heart rhythm monitoring during dental extractions-a pilot study
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2021 (English)In: 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech), 2021, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

Wireless electrocardiogram (ECG) monitoring devices are useful for detecting heart rhythm disorders and provide insight into the patient’s medical condition. Dental procedures produce fear, stress and anxiety and could trigger underlying, unrecognized cardiovascular disorders. In our pilot study, negative P-wave and discordant final oscillation occurred in all four phases of the procedure in nine out of twelve patients. Tachycardia occurred during the anaesthetic application in 50% of patients who received local infiltration anaesthesia group and 33% of patients from the inferior alveolar nerve block group, and also during the extraction phase in 33% of patients from the local infiltration anaesthesia group. Our data suggest that cardiovascular changes due to dental procedures are seen even in healthy individuals. Routine patients’ screening with these devices during stress-inducing procedures could help identify those with unrecognized cardiovascular risk.

Keywords
Wireless communication;Heart beat;Surgery;Electrocardiography;Anesthesia;Dentistry;Transient analysis;ECG monitoring;mobile devices;dental extractions;heart rate;cardiovascular risk
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-56428 (URN)10.23919/SpliTech52315.2021.9566379 (DOI)2-s2.0-85118448645 (Scopus ID)978-953-290-112-2 (ISBN)
Conference
6th International Conference on Smart and Sustainable Technologies (SpliTech)
Available from: 2021-11-09 Created: 2021-11-09 Last updated: 2022-11-09Bibliographically approved
Sović, J., Šegović, S., Tomašić, I., Pavelić, B., Šutej, I. & Anić, I. (2020). Antibiotic administration along with endodontic therapy in the republic of Croatia: A pilot study. Acta Stomatologica Croatica, 54(3), 314-321
Open this publication in new window or tab >>Antibiotic administration along with endodontic therapy in the republic of Croatia: A pilot study
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2020 (English)In: Acta Stomatologica Croatica, ISSN 0001-7019, E-ISSN 1846-0410, Vol. 54, no 3, p. 314-321Article in journal (Refereed) Published
Abstract [en]

Objective: To evaluate the type and the frequency of antibiotic prescribing along with endodontic therapy in Croatia. The aim is, also, to assess the attitudes of Croatian doctors towards endodontic treatment of patients at risk of developing bacterial endocarditis. Material and methods: Data were collected by a survey questionnaire. Results: 8.4% of the examined practitioners stated that they prescribe antibiotics often, and 91.6% of them stated that they prescribed them never/ very rarely/rarely. Most of them (41%) prescribe antibiotics once or twice a month, 32.5% once or twice in several months and 20.5% once or twice a week. The most commonly used antibiotic was penicillin with clavulanic acid. Also, 26.2% of examined practitioners prescribed antibiotics for gangrene pulp, 51.2% of them for localized acute apical periodontitis without swelling, 85% of them for cellulitis, 75% of them for fever and enlarged lymph nodes, 16.9% of them for tooth with fistula and 94.1% of them for prophylaxis of infectious endocarditis. According to the results of study, 54.4% of dental practitioners did not prescribe antibiotics without intervention on susceptible tooth; 76% of participants often/almost always/ always accepted endodontic treatment of patients requiring antibiotic prophylaxis to prevent infectious endocarditis, and 96.7% of participants indicated they were familiar with recent instructions for antibiotic prophylaxis. Conclusion: These findings point to inappropriate use of antibiotics in the practice of 83 dental practitioners questioned regarding the frequency of administration and indications. The most commonly used antibiotic was penicillin with clavulanic acid. A high percentage of surveyed practitioners stated that they were familiar with recent instructions for antibiotic prophylaxis. They also stated that they performed endodontic procedures on patients who were at risk of bacterial endocarditis. There is a noticeable need for targeted continuing education of dental practitioners in the Republic of Croatia. 

Place, publisher, year, edition, pages
University of Zagreb, 2020
National Category
Other Medical Sciences
Identifiers
urn:nbn:se:mdh:diva-51553 (URN)10.15644/asc54/3/9 (DOI)000575915100009 ()33132394 (PubMedID)2-s2.0-85092189181 (Scopus ID)
Available from: 2020-10-15 Created: 2020-10-15 Last updated: 2022-11-09Bibliographically approved
Tomasic, N., Kotarsky, H., Figueiredo, R. d., Hansson, E., Morgelin, M., Tomasic, I., . . . Fellman, V. (2020). Fasting reveals largely intact systemic lipid mobilization mechanisms in respiratory chain complex III deficient mice. Biochimica et Biophysica Acta - Molecular Basis of Disease, 1866(1), Article ID 165573.
Open this publication in new window or tab >>Fasting reveals largely intact systemic lipid mobilization mechanisms in respiratory chain complex III deficient mice
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2020 (English)In: Biochimica et Biophysica Acta - Molecular Basis of Disease, ISSN 0925-4439, E-ISSN 1879-260X, Vol. 1866, no 1, article id 165573Article in journal (Refereed) Published
Abstract [en]

Mice homozygous for the human GRACILE syndrome mutation (Bcs1l (c.A232G)) display decreased respiratory chain complex III activity, liver dysfunction, hypoglycemia, rapid loss of white adipose tissue and early death. To assess the underlying mechanism of the lipodystrophy in homozygous mice (Bcs1l(p.S)(78G)), these and wild-type control mice were subjected to a short 4-hour fast. The homozygotes had low baseline blood glucose values, but a similar decrease in response to fasting as in wild-type mice, resulting in hypoglycemia in the majority. Despite the already depleted glycogen and increased triacylglycerol content in the mutant livers, the mice responded to fasting by further depletion and increase, respectively. Increased plasma free fatty acids (FAs) upon fasting suggested normal capacity for mobilization of lipids from white adipose tissue into circulation. Strikingly, however, serum glycerol concentration was not increased concomitantly with free FM, suggesting its rapid uptake into the liver and utilization for fuel or gluconeogenesis in the mutants. The mutant hepatocyte mitochondria were capable of responding to fasting by appropriate morphological changes, as analyzed by electron microscopy, and by increasing respiration. Mutants showed increased hepatic gene expression of major metabolic controllers typically associated with fasting response (Ppargc1a, Fgf21, Cd36) already in the fed state, suggesting a chronic starvation-like metabolic condition. Despite this, the mutant mice responded largely normally to fasting by increasing hepatic respiration and switching to FA utilization, indicating that the mechanisms driving these adaptations are not compromised by the CIII dysfunction. Summary statement: Bcs1l mutant mice with severe CIII deficiency, energy deprivation and post-weaning lipolysis respond to fasting similarly to wild-type mice, suggesting largely normal systemic lipid mobilization and utilization mechanisms.

Place, publisher, year, edition, pages
Amsterdam: ELSEVIER, 2020
Keywords
Mitochondrial disorder, Liver disease, OXPHOS, BCS1L, Fasting, Lipid metabolism
National Category
Physiology Endocrinology and Diabetes
Identifiers
urn:nbn:se:mdh:diva-46596 (URN)10.1016/j.bbadis.2019.165573 (DOI)000500361800007 ()31672551 (PubMedID)2-s2.0-85074150516 (Scopus ID)
Available from: 2019-12-20 Created: 2019-12-20 Last updated: 2022-11-09Bibliographically approved
Petterson, H. N., Rehnholm, J., Vikström, S., Åslund, M., Åstrand, E. & Tomasic, I. (2020). Iris identification using wavelet decomposition and gabor filter. In: 2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings: . Paper presented at 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020, Opatija, CROATIA, 28 September through 2 October 2020 (pp. 265-270). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Iris identification using wavelet decomposition and gabor filter
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2020 (English)In: 2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 265-270Conference paper, Published paper (Refereed)
Abstract [en]

Biometric authentication has seen a widespread increase in popularity as supporting technology has become common in mass produced consumer electronics. Like fingerprints, each individual has unique patterns in the iris, which makes it a common approach for implementing visual biometric authentication. The paper describes a novel system for extracting the iris pattern and using it for identification of people. The system uses Haar wavelet decomposition and 2D Gabor filtering to extract the pattern data. The pattern data is then used with bitwise XOR comparison for final identification matching. Instead of manually selecting parameters for the Gabor filter, a machine learning method called Particle Swarm Optimization was used. The parameters that gave the best matching result were then implemented in the filter design. The implemented system was evaluated on images obtained from 6 individuals in different settings. The evaluation showed that matching identification could be achieved for the database used. The prepossessing of images with Independent Component Analysis was also used to remove the reflections on the images but that did not improve the classification significantly. Still we were able to perfectly distinguish between the individuals. Further preprocessing and a larger training database would be required to get more general and robust results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2020
Keywords
2-D Gabor filter, Iris identification, PSO, Wavelet decomposition, Authentication, Biometrics, Image enhancement, Independent component analysis, Learning systems, Particle swarm optimization (PSO), Turing machines, 2D Gabor filtering, Biometric authentication, Filter designs, Haar wavelet decomposition, Machine learning methods, Supporting technology, Training database, Gabor filters
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-52862 (URN)10.23919/MIPRO48935.2020.9245439 (DOI)000790326400051 ()2-s2.0-85097225819 (Scopus ID)9789532330991 (ISBN)
Conference
43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020, Opatija, CROATIA, 28 September through 2 October 2020
Available from: 2020-12-17 Created: 2020-12-17 Last updated: 2022-11-23Bibliographically approved
Rashkovska, A., Depolli, M., Tomasic, I., Avbelj, V. & Trobec, R. (2020). Medical-grade ECG sensor for long-term monitoring. Sensors, 20(6), Article ID 1695.
Open this publication in new window or tab >>Medical-grade ECG sensor for long-term monitoring
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2020 (English)In: Sensors, E-ISSN 1424-8220, Vol. 20, no 6, article id 1695Article in journal (Refereed) Published
Abstract [en]

The recent trend in electrocardiogram (ECG) device development is towards wireless body sensors applied for patient monitoring. The ultimate goal is to develop a multi-functional body sensor that will provide synchronized vital bio-signs of the monitored user. In this paper, we present an ECG sensor for long-term monitoring, which measures the surface potential difference between proximal electrodes near the heart, called differential ECG lead or differential lead, in short. The sensor has been certified as a class IIa medical device and is available on the market under the trademark Savvy ECG. An improvement from the user’s perspective—immediate access to the measured data—is also implemented into the design. With appropriate placement of the device on the chest, a very clear distinction of all electrocardiographic waves can be achieved, allowing for ECG recording of high quality, sufficient for medical analysis. Experimental results that elucidate the measurements from a differential lead regarding sensors’ position, the impact of artifacts, and potential diagnostic value, are shown. We demonstrate the sensors’ potential by presenting results from its various areas of application: medicine, sports, veterinary, and some new fields of investigation, like hearth rate variability biofeedback assessment and biometric authentication. 

Place, publisher, year, edition, pages
MDPI AG, 2020
Keywords
Body ECG sensor, Differential lead, Electrocardiography, Medicine, Mobile health, Sport, Veterinary, Biofeedback, Body sensor networks, mHealth, Patient monitoring, Sports, Sports medicine, Surface potential, Wearable sensors, Biometric authentication, Device development, Diagnostic value, ECG sensors, Long term monitoring, Medical analysis, Potential difference
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-47456 (URN)10.3390/s20061695 (DOI)000529139700154 ()32197444 (PubMedID)2-s2.0-85082146859 (Scopus ID)
Note

Export Date: 2 April 2020; Article; Correspondence Address: Rashkovska, A.; Department of Communication Systems, Jožef Stefan Institute, Jamova cesta 39, Slovenia; email: aleksandra.rashkovska@ijs.si

Available from: 2020-04-02 Created: 2020-04-02 Last updated: 2022-02-10Bibliographically approved
Tomasic, I., Petrovic, N., Lindén, M. & Rashkovska, A. (2019). Comparison of publicly available beat detection algorithms performanances on the ECGs obtained by a patch ECG device. In: Koricic, M Butkovic, Z Skala, K Car, Z CicinSain, M Babic, S Sruk, V Skvorc, D Ribaric, S Gros, S Vrdoljak, B Mauher, M Tijan, E Pale, P Huljenic, D Grbac, TG Janjic, M (Ed.), 2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO): . Paper presented at 2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) (pp. 275-278). IEEE
Open this publication in new window or tab >>Comparison of publicly available beat detection algorithms performanances on the ECGs obtained by a patch ECG device
2019 (English)In: 2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) / [ed] Koricic, M Butkovic, Z Skala, K Car, Z CicinSain, M Babic, S Sruk, V Skvorc, D Ribaric, S Gros, S Vrdoljak, B Mauher, M Tijan, E Pale, P Huljenic, D Grbac, TG Janjic, M, IEEE , 2019, p. 275-278Conference paper, Published paper (Refereed)
Abstract [en]

Eight ECG beat detection algorithms, from the PhysioNet's WFDR and Cardiovascular Signal toolboxes, were tested on twenty measurements, obtained by the Savvy patch ECG device, for their accuracy in beat detection. On each subject, one measurement is obtained while sitting and one while running. Each measurement lasted from thirty seconds to one minute. The measurements obtained while running were more challenging for all the algorithms, as most of them almost perfectly detected all the beats on the measurements obtained in sitting position. However, when applied on the measurements obtained while running, all the algorithms have performed with decreased accuracy. Considering overall percentage of the faulty detected peaks, the four best algorithms were jqrs, from the Cardiovascular Signal Toolbox, and ecgpuwave, gqrs, and wqrs, from the WEDB Toolbox, with percentages of faulty detected beats 1.7, 2.3, 2.9, and 3, respectively.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Patch ECG, R-peaks, heat detection, heart rate, telemonitoring, remote health monitoring
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-45375 (URN)000484544500052 ()978-953-233-098-4 (ISBN)
Conference
2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO)
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2022-11-09Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0545-2335

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