3 research outputs found
Heart Rate Monitoring Using PPG Signals
No full textMonitoring the heart rate using PPG signals that is worn on the wrist has the downside that it is susceptible to motion. The device on the wrist moves along with the motions of the arm, consequently creating artifacts in the measurement. There are many signal processing techniques that can remove these artifacts. This thesis discusses one of the possible ways to remove motional artifacts from PPG signals, which is the TROIKA framework. This framework consists of three parts: signal decomposition, sparse signal reconstruction and spectral peak tracking. The main subject in this thesis is removal of motional artifacts by signal decomposition. Two methods have been proposed to identify components that belong to motional artifacts. Both methods worked as intended for removing those artifacts. The results of the TROIKA framework that is put together were within expectations.Electrical Engineering, Mathematics and Computer ScienceMicroelectronicsEE3L1
Morphological Characterization of Cherry Rootstock Candidates Selected from Central and East Black Sea Regions in Turkey
No full textThe use of rootstocks particularly for sweet cherry cultivars is of great importance for successful and sustainable production. Choosing the right cherry rootstocks is just as important as choosing the right cultivar. In this study, 110 sweet cherry, 30 sour cherry, and 41 mahaleb types displaying rootstock potential for sweet cherry cultivars were selected from Central and East Black Sea Regions in Turkey. The morphologic characteristics of the studied genotypes were compared with the standard clonal rootstocks PHL-A, MaxMa 14, Montmorency, Weiroot 158, Gisela 5, Gisela 6, and SL 64. A total of 42 morphological UPOV characteristics were evaluated in the selected genotypes and clonal rootstocks. The obtained data were analyzed by using principal component analysis and it revealed that eigenvalues of the first 3 components were able to represent 36.43% of total variance. The most significant positive correlations of the plant vigor were determined with leaf blade length and petiole thickness. According to the diversity analysis of coefficients, the 05 C 002 and 08 C 039 genotypes were identified as being similar (6.66), while the 05 C 002 and 55 S 012 genotypes were determined as the most distant genotypes (325.84) in terms of morphology
