Design of a computerized dynamic posturography machine

Download
2019
Çuvalcı, Ahmet Ufuk
The need of the objectivity in medical diagnostics is a common problem. The developments in sensor electronics and software packages besides the theoretical progress in understanding human physiology or anatomy at all opens new gates for measurements of human systems. Relation between human sensory input and motor control to certain stimulations was unveiled in the past. Based on this fact a method to diagnose human balance disorders was developed, named Computerized Dynamic Posturography (CDP). Statistically classifying the reason of balance disorder, this method reduces the amount of time and e ort in diagnostics. Moreover, having objective data at the end, it is also possible to compare the patient's past and present balance score to observe his/her progress. All that is done by so called CDP-Device. In this study a new-third motion axis to the standard 2-axis CDP-device was presented, which is a new contribution to literature. Moreover, the design, production and the preliminary tests of a multiaxis force plate which is also alone a whole product was studied. On the whole, a new medical product was developed having national, economic and research value

Suggestions

Describing Morphological Changes of Corpus Callosum via Shape Grammar Based Approach
Turgut, Umut Orcun; Gökçay, Didem (2015-10-18)
Despite modern imaging technologies, problems are faced in quantitative brain morphology studies. Since the structural and functional organization of the human brain is complex, advanced methods are needed. Current methods are incapable of detecting complete shape anomalies. Moreover, the rapidly increasing volume of image data forces development of image analysis methodologies that can be processed fast and locally. All of these requirements create the need for an advanced shape analysis technique to chara...
Diagnostic prediction model development using data from dried blood spot proteomics and a digital mental health assessment to identify major depressive disorder among individuals presenting with low mood.
Han, SYS; Tomasik, J; Rustogi, N; Lago, SG; Barton-Owen, G; Eljasz, P; Cooper, JD; Özcan Kabasakal, Süreyya; Olmert, T; Farrag, LP; Friend, LV; Bell, E; Cowell, D; Thomas, G; Tuytten, R; Bahn, S (Elsevier BV, 2020-11-01)
With less than half of patients with major depressive disorder (MDD) correctly diagnosed within the primary care setting, there is a clinical need to develop an objective and readily accessible test to enable earlier and more accurate diagnosis. The aim of this study was to develop diagnostic prediction models to identify MDD patients among individuals presenting with subclinical low mood, based on data from dried blood spot (DBS) proteomics (194 peptides representing 115 proteins) and a novel digital menta...
Forward problem solution for electrical conductivity imaging via contactless measurements
Gençer, Nevzat Güneri (IOP Publishing, 1999-04-01)
The forward problem of anew medical imaging system is analysed in this study. This system uses magnetic excitation to induce currents inside a conductive body and measures the magnetic fields of the induced currents. The forward problem, that is determining induced currents in the conductive body and their magnetic fields, is formulated. For a general solution of the forward problem, the finite element method (FEM) is employed to evaluate the scalar potential distribution. Thus, inhomogeneity and anisotropy...
Development of a Visio-Haptic Integrated Dental Training Simulation System
Konukseven, Erhan İlhan; Önder, Mustafa Turgut; Mumcuoğlu, Ünal Erkan (2010-08-01)
The use of haptic devices in the medical field has become widespread in the last decade. In this study, a visio-haptic dental training system is developed using haptic and stereoscopic devices. Several advantages are offered by such a simulation system, including effective learning without any fear of making mistakes on a patient, possibility of repeating various dental operations, ease of evaluating student performance, and low-cost dental training even without an instructor. In this study, the biomechanic...
ANALYSIS OF NEUROONCOLOGICAL DATA TO PREDICT SUCCESS OF OPERATION THROUGH CLASSIFICATION
Bagherzadi, Negin; BÖRCEK, ALP ÖZGÜN; TOKDEMİR, GÜL; ÇAĞILTAY, NERGİZ; MARAŞ, HADİ HAKAN (2016-10-05)
Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be utilized to predict outcomes of certain treatment procedures. Accordingly, this study aims to create a model to provide decision support for surgeons in Neurooncology surgery. For this purpose, we have analyzed clinical pathology records of Neurooncology patients through various classificatio...
Citation Formats
A. U. Çuvalcı, “Design of a computerized dynamic posturography machine,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Mechanical Engineering., Middle East Technical University, 2019.