Researcher:
Emirdağı, Ahmet Rasim

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Ahmet Rasim

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Emirdağı

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Emirdağı, Ahmet Rasim

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20222

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    Detection of stride time and stance phase ratio from accelerometer data for gait analysis
    (Institute of Electrical and Electronics Engineers Inc., 2022) N/A; Department of Computer Engineering; N/A; Department of Computer Engineering; Department of Computer Engineering; Department of Electrical and Electronics Engineering; Vural, Atay; Erzin, Engin; Akar, Kardelen; Tokmak, Fadime; Köprücü, Nursena; Emirdağı, Ahmet Rasim; Faculty Member; Faculty Member; Master Student; Student; Student; Student; Department of Computer Engineering; Department of Electrical and Electronics Engineering; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); N/A; N/A; N/A; N/A; N/A; School of Medicine; College of Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; College of Engineering; 182369; 34503; N/A; N/A; N/A; N/A
    Stride time and stance phase ratio are supportive biomarkers used in the diagnosis and treatment of gait disorders and are currently frequently used in research studies. In this study, the 3-axis accelerometer signal, taken from the foot, was denoised by a low-pass FIR (finite impulse response) filter. By using the fundamental frequency analysis the dominant frequency was found and with that frequency an optimal length for a window to be shifted across the whole signal for further purposes. And the turning region was extracted by using the Pearson correlation coefficient with the segments that overlapped by shifting the selected window over the whole signal, after getting the walking segments the stride time parameter is calculated by using a simple peak-picking algorithm. The stance and swing periods of the pseudo-steps, which emerged as a result of the double step time calculation algorithm, were found with the dynamic time warping method, and the ratio of the stance phase in a step to the whole step was calculated as a percentage. The results found were compared with the results of the APDM system, and the mean absolute error rate was calculated as 0.029 s for the stride time and 0.0084 for the stance phase ratio.
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    Capacity analysis of molecular communications with ratio shift keying modulation
    (Association for Computing Machinery (ACM), 2022) Department of Electrical and Electronics Engineering; Kuşcu, Murat; Kopuzlu, Mahmut Serkan; Araz, Mustafa Okan; Emirdağı, Ahmet Rasim; Teaching Faculty; Master Student; PhD Student; PhD Student; Faculty Member; Faculty Member; Faculty Member; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering; 316349; N/A; N/A; N/A
    Molecular Communications (MC) is a bio-inspired communication technique that uses molecules to encode and transfer information. Many efforts have been focused on developing new modulation techniques for MC by exploiting distinguishable properties of molecules. In this paper, we investigate a particular modulation scheme where the information is encoded into the concentration ratio of two different types of molecules. To evaluate the performance of this so-called Ratio Shift Keying (RSK) modulation, we carry out an information theoretical analysis and derive the capacity of the end-to-end MC channel where the receiver performs ratio estimation based on ligand-receptor binding statistics in an optimal or suboptimal manner. The numerical results, obtained for varying similarity between the ligand types employed for ratio-encoding, and number of receptors, indicate that the RSK can outperform the concentration shift keying (CSK) modulation, the most common technique considered in literature, when the transmitter is power-limited. The results also indicate the potential advantages of RSK over other modulation methods under time-varying channel conditions, when the effects of the dynamic conditions are invariant to the type of the molecules.