82 research outputs found
Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
The prevalence of cardiovascular diseases is increasing around the world. However, the technology is evolving and can be monitored with low-cost sensors anywhere at any time. This subject is being researched, and different methods can automatically identify these diseases, helping patients and healthcare professionals with the treatments. This paper presents a systematic review of disease identification, classification, and recognition with ECG sensors. The review was focused on studies published between 2017 and 2022 in different scientific databases, including PubMed Central, Springer, Elsevier, Multidisciplinary Digital Publishing Institute (MDPI), IEEE Xplore, and Frontiers. It results in the quantitative and qualitative analysis of 103 scientific papers. The study demonstrated that different datasets are available online with data related to various diseases. Several ML/DP-based models were identified in the research, where Convolutional Neural Network and Support Vector Machine were the most applied algorithms. This review can allow us to identify the techniques that can be used in a system that promotes the patientβs autonomy.N/
Algorithms for Compression of Electrocardiogram Signals
The study is dedicated to modern methods and algorithms for compression of electrocardiogram (ECG) signals. In its original part, two lossy compression algorithms based on a combination of linear transforms are proposed. These algorithms are with relatively low computational complexity, making them applicable for implementation in low power designs such as mobile devices or embedded systems. Since the algorithms do not provide perfect signal reconstruction, they would find application in ECG monitoring systems rather than those intended for precision medical diagnosis.
This monograph consists of abstract, preface, five chapters and conclusion. The chapters are as follows: Chapter 1 β Introduction to ECG; Chapter 2 β Overview of the existing methods and algorithms for ECG compression; Chapter 3 β ECG compression algorithm, based on a combination of linear transforms; Chapter 4 β Improvement of the developed algorithm for ECG compression; Chapter 5 β Experimental investigations.
Π’ΠΎΠ·ΠΈ ΡΡΡΠ΄ Π΅ ΠΏΠΎΡΠ²Π΅ΡΠ΅Π½ Π½Π° ΡΡΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΈΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈ Π·Π° ΠΊΠΎΠΌΠΏΡΠ΅ΡΠΈΡ Π½Π° Π΅Π»Π΅ΠΊΡΡΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΡΠΊΠΈ (ΠΠΠ) ΡΠΈΠ³Π½Π°Π»ΠΈ. Π ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»Π½Π°ΡΠ° ΠΌΡ ΡΠ°ΡΡ ΡΠ° ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈ Π΄Π²Π° Π°Π»Π³ΠΎΡΠΈΡΡΠΌΠ° Π·Π° ΠΊΠΎΠΌΠΏΡΠ΅ΡΠΈΡ ΡΡΡ Π·Π°Π³ΡΠ±ΠΈ, ΠΊΠΎΠΈΡΠΎ ΡΠ° Π±Π°Π·ΠΈΡΠ°Π½ΠΈ Π½Π° ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡ ΠΎΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΈ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΡΠ²Π°Π½ΠΈΡ. Π’Π΅Π·ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈ ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΈΡΠ°Ρ ΡΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»Π½ΠΎ Π½Π΅Π²ΠΈΡΠΎΠΊΠ° ΠΈΠ·ΡΠΈΡΠ»ΠΈΡΠ΅Π»Π½Π° ΡΠ»ΠΎΠΆΠ½ΠΎΡΡ, ΠΊΠΎΠ΅ΡΠΎ Π΄Π°Π²Π° Π²ΡΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ Π΄Π° Π±ΡΠ΄Π°Ρ ΡΠ΅Π°Π»ΠΈΠ·ΠΈΡΠ°Π½ΠΈ Π² ΡΡΡΡΠΎΠΉΡΡΠ²Π° Ρ Π½ΠΈΡΠΊΠ° ΠΊΠΎΠ½ΡΡΠΌΠ°ΡΠΈΡ Π½Π° Π΅Π½Π΅ΡΠ³ΠΈΡ, ΠΊΠ°ΡΠΎ Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ ΠΌΠΎΠ±ΠΈΠ»Π½ΠΈ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΠΈΠ»ΠΈ Π²Π³ΡΠ°Π΄Π΅Π½ΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ. Π’ΡΠΉ ΠΊΠ°ΡΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈΡΠ΅ Π½Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ²Π°Ρ ΠΏΠ΅ΡΡΠ΅ΠΊΡΠ½ΠΎ Π²ΡΠ·ΡΡΠ°Π½ΠΎΠ²ΡΠ²Π°Π½Π΅ Π½Π° ΡΠΈΠ³Π½Π°Π»Π°, ΡΠ΅ Π±ΠΈΡ
Π° Π½Π°ΠΌΠ΅ΡΠΈΠ»ΠΈ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠΎ-ΡΠΊΠΎΡΠΎ Π² ΡΠΈΡΡΠ΅ΠΌΠΈΡΠ΅ Π·Π° ΠΠΠ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³, ΠΎΡΠΊΠΎΠ»ΠΊΠΎΡΠΎ Π² ΡΠ΅Π·ΠΈ, ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈ Π·Π° ΠΏΡΠ΅ΡΠΈΠ·Π½Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠ° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ°.
ΠΠΎΠ½ΠΎΠ³ΡΠ°ΡΠΈΡΡΠ° ΡΡΠ΄ΡΡΠΆΠ° ΡΠ΅Π·ΡΠΌΠ΅, ΠΏΡΠ΅Π΄Π³ΠΎΠ²ΠΎΡ, ΠΏΠ΅Ρ Π³Π»Π°Π²ΠΈ ΠΈ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ»Π°Π²ΠΈΡΠ΅ ΡΠ° ΠΊΠ°ΠΊΡΠΎ ΡΠ»Π΅Π΄Π²Π°: ΠΠ»Π°Π²Π° 1 β ΠΡΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ Π² Π΅Π»Π΅ΠΊΡΡΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΠΈΡΡΠ°; ΠΠ»Π°Π²Π° 2 β ΠΠ±Π·ΠΎΡ Π½Π° ΡΡΡΠ΅ΡΡΠ²ΡΠ²Π°ΡΠΈΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈ Π·Π° ΠΊΠΎΠΌΠΏΡΠ΅ΡΠΈΡ Π½Π° ΠΠΠ ΡΠΈΠ³Π½Π°Π»ΠΈ; ΠΠ»Π°Π²Π° 3 β ΠΠ»Π³ΠΎΡΠΈΡΡΠΌ Π·Π° ΠΊΠΎΠΌΠΏΡΠ΅ΡΠΈΡ Π½Π° ΠΠΠ ΡΠΈΠ³Π½Π°Π»ΠΈ, Π±Π°Π·ΠΈΡΠ°Π½ Π½Π° ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡ ΠΎΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΈ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΡΠ²Π°Π½ΠΈΡ; ΠΠ»Π°Π²Π° 4 β Π£ΡΡΠ²ΡΡΡΠ΅Π½ΡΡΠ²Π°Π½Π΅ Π½Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ΅Π½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΡΠΌ Π·Π° ΠΊΠΎΠΌΠΏΡΠ΅ΡΠΈΡ Π½Π° ΠΠΠ ΡΠΈΠ³Π½Π°Π»ΠΈ; ΠΠ»Π°Π²Π° 5 β ΠΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»Π½ΠΈ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈΡ
Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 133)
This special bibliography lists 276 reports, articles, and other documents introduced into the NASA Scientific and Technical Information System in September 1974
Injurious compression induced apoptosis in articular cartliage
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.Includes bibliographical references (p. 113-121).by Andreas Markus Loening.M.Eng
Novel approaches for quantitative electrogram analysis for rotor identification: Implications for ablation in patients with atrial fibrillation
University of Minnesota Ph.D. dissertation. May 2017. Major: Biomedical Engineering. Advisor: Elena Tolkacheva. 1 computer file (PDF); xxviii, 349 pages + 4 audio/video filesAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation with pulmonary vein isolation (PVI) to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of PVI region. Recent evidences in the mechanistic understating of AF pathophysiology suggest that ectopic activity, localized re-entrant circuit with fibrillatory propagation and multiple circuit re-entries may all be involved in human AF. Accordingly, the hypothesis that rotor is an underlying AF mechanism is compatible with both the presence of focal discharges and multiple wavelets. Rotors are stable electrical sources which have characteristic spiral waves like appearance with a pivot point surrounded by peripheral region. Targeted ablation at the rotor pivot points in several animal studies have demonstrated efficacy in terminating AF. The objective of this dissertation was to develop robust spatiotemporal mapping techniques that can fully capture the intrinsic dynamics of the non-stationary time series intracardiac electrogram signal to accurately identify the rotor pivot zones that may cause and maintain AF. In this thesis, four time domain approaches namely multiscale entropy (MSE) recurrence period density entropy (RPDE), kurtosis and intrinsic mode function (IMF) complexity index and one frequency domain approach namely multiscale frequency (MSF) was proposed and developed for accurate identification of rotor pivot points. The novel approaches were validated using optical mapping data with induced ventricular arrhythmia in ex-vivo isolated rabbit heart with single, double and meandering rotors (including numerically simulated data). The results demonstrated the efficacy of the novel approaches in accurate identification of rotor pivot point. The chaotic nature of rotor pivot point resulted in higher complexity measured by MSE, RPDE, kurtosis, IMF and MSF compared to the stable rotor periphery that enabled its accurate identification. Additionally, the feasibility of using conventional catheter mapping system to generate patient specific 3D maps for intraprocedural guidance for catheter ablation using these novel approaches was demonstrated with 1055 intracardiac electrograms obtained from both atriaβs in a persistent AF patient. Notably, the 3D maps did not provide any clinically significant information on rotor pivot point identification or the presence of rotors themselves. Validation of these novel approaches is required in large datasets with paroxysmal and persistent AF patients to evaluate their clinical utility in rotor identification as potential targets for AF ablation
Usability analysis of contending electronic health record systems
In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. Β© 2019 American Psychological Association Inc. All rights reserved.Peer reviewe
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