Diagnosis of congestive heart failure using poincare map plot

Yayık, Apdullah; Kutlu, Yakup

doi:10.1109/siu.2012.6204457

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…When the chaotic system parameter of a as mentioned in Equation () increases from −5 to 0.1, the time series entropy (TSE) [ 64 ] for x ( t ) and y ( t ) shown in Figure 7a,e become more and more collective around the circle center region. The more the parameter of a increases, the better TSE convergences and the bigger output diversity x ( t ) and y ( t ) produce.…”

Section: Resultsmentioning

confidence: 99%

Natural Exponential and Three‐Dimensional Chaotic System

et al. 2023

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Existing chaotic system exhibits unpredictability and nonrepeatability in a deterministic nonlinear architecture, presented as a combination of definiteness and stochasticity. However, traditional two-dimensional chaotic systems cannot provide sufficient information in the dynamic motion and usually feature low sensitivity to initial system input, which makes them computationally prohibitive in accurate time series prediction and weak periodic component detection. Here, a natural exponential and three-dimensional chaotic system with higher sensitivity to initial system input conditions showing astonishing extensibility in time series prediction and image processing is proposed. The chaotic performance evaluated theoretically and experimentally by Poincare mapping, bifurcation diagram, phase space reconstruction, Lyapunov exponent, and correlation dimension provides a new perspective of nonlinear physical modeling and validation. The complexity, robustness, and consistency are studied by recursive and entropy analysis and comparison. The method improves the efficiency of time series prediction, nonlinear dynamics-related problem solving and expands the potential scope of multi-dimensional chaotic systems.

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Section: Resultsmentioning

confidence: 99%

Natural Exponential and Three‐Dimensional Chaotic System

et al. 2023

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“…Clear identification between the steady-state and the transient state was important to determine the steady-state value in a short time. The phase-plane approach helped to delineate the unique transient state for different activities and individuals [54], [55]; hence, it helps the data-driven approach, VBGMM regression, to quickly estimate steady-state metabolic cost using the transient metabolic rate of various activities across participants.…”

Section: Discussionmentioning

confidence: 99%

Phase-Plane Based Model-Free Estimation of Steady-State Metabolic Cost

Kantharaju

Kim

2022

IEEE Access

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The steady-state metabolic cost has been used to assess the performance of wearable robotic devices. Recently, real-time assessment of this metabolic cost has been employed in an objective function when optimizing robotic parameters for an individual user, thus personalizing the assistance to minimize human effort. However, the long estimation time needed for the model-based approach to metabolic cost estimation limits the optimization only to light-intensity activities. Here, we hypothesized that model-free, phase-plane estimation (PPE) would reduce the estimation time for the steady-state metabolic cost. First, we developed a phase-plane representation to classify the steady-state (where the change in metabolic rate is zero) and the transient metabolic dynamics. Second, we approximated the transient metabolic dynamics using a data-driven Gaussian mixture model and a real-time respiratory measure. We compared the performance of PPE with that of the model-based method by examining (1) walking performance assisted by a robotic prosthetic foot for individuals with and without Below Knee Amputation (BKA) and (2) squatting and running performance for individuals without BKA. PPE reduced the steady-state estimation time during walking for individuals with and without BKA by 31% and 40%, respectively. It also reduced estimation time by 56% and 24% for squatting and running conditions. These significant reductions in estimation time suggest that the data-driven PPE method can be used to rapidly estimate physical effort when personalizing the assistance from wearable robots. This expands the ability to conduct individual optimization for subjects engaged in physical intensive activities or for individuals with reduced physical strength.INDEX TERMS Rehabilitation robotics, Exoskeletons, Prosthetic limbs, Human-robot interaction, Human in the loop optimization.

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“…4) ve doğruluk (Eş. 5) olarak belirlediğimiz metrikler kullanılacaktır [25]. Bu hesaplamalar belirlenirken Tablo 3'te gösterilen karışıklık matrisi oluşturulur ve hesaplamalar bu tablo bilgilerine göre yapılmaktadır.…”

Section: Sınıflandırma Modeli Için Performans öLçümleri (Performance ...unclassified

Kamkat meyvesi için derin öğrenmeye dayalı otonom hasat robotu tasarımı

Gündüz,

Dersuneli,

Kutlu

2024

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Otonom robotlar, dünya nüfus artışı karşısında azalan tarımsal üretim alanlarına ve tarımsal işgücü ihtiyacına çözüm olarak ortaya çıkıyor. Dünya genelinde insan hatalarından ve çalışma sürelerinden bağımsız bir yöntem olarak otonom hasat robotları üzerinde çalışmalar yapılmaktadır. Bu çalışmada, mobil bir platform üzerinde 6 eksenli bir robotik kol tasarlanmıştır. Derin öğrenme algoritmaları ile kamkat meyve tespiti yapılmış, özel tasarlanmış bir vakum tutucu ile entegre bir görüntü işleme algoritması oluşturulmuştur. Ayrıca literatürde hasat performansını düşüren yaprak sorunu ele alınmış ve çözüm önerilmiştir. Nesne tespiti sonrası geliştirilen algoritma ile yaprak veya herhangi bir engele takılmadan hasat gerçekleştirilmiştir. Denavit-Hartenberg (D-H) yöntemi kullanılarak elde edilen veri setinin ters kinematik hesaplamaları için yapay sinir tabanlı model oluşturularak robot hareketleri hesaplanmıştır. Nesne tespit başarısı %93 olup, saksılı kamkat ağaçlarında yapılan testler sonucunda %75 hasat başarısı elde edilmiştir.

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Diagnosis of congestive heart failure using poincare map plot

Cited by 7 publications

References 10 publications

Natural Exponential and Three‐Dimensional Chaotic System

Natural Exponential and Three‐Dimensional Chaotic System

Phase-Plane Based Model-Free Estimation of Steady-State Metabolic Cost

Kamkat meyvesi için derin öğrenmeye dayalı otonom hasat robotu tasarımı

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