Uroflowmetry measures the flow of urine and tracks its flow rate, the voiding volume and total voiding time. Therefore, uroflowmetry remains an important tool for the assessment of patients with lower urinary tract symptoms (LUTS). Due to the time-consuming nature of urologist appointments and the resulting sparse acquisition of flow data, its long-term diagnostic potential is very limited. Acoustic voiding testing (Sonouroflowmetry) appears to correlate well with conventional uroflowmetry and is a promising alternative for home urinary flow monitoring.

In order to exploit the potential of home monitoring by sonouroflowmetry, training data was acquired under artificial and real voiding conditions. Within the scope of the thesis, features should be extracted with the help of an optimized Mel filter bank, thus allowing to classify the different flow rates. In addition, a data augmentation should be implemented that allows characteristics of real flow rates to be transferred to artificial flow rates.

Recent studies have shown that daily one-hour exposure to 40 Hz stroboscopic light slows the progression of Alzheimer's disease in mice and thus indicates significant potential for a treatment in humans. Exposure of humans to a 40 Hz modulated light source is associated with some discomfort, especially as the flickering of the light source is clearly perceptible. Due to the associated visual discomfort, the approach is difficult to integrate into patients' everyday lives and can result in a lack of adherence to treatment. In order to reduce the perception threshold of the modulated light source, it is possible to vary the modulation depth of the signal. Alternatively, a non-visual spectral flicker can be used, which is based on a chromatic flicker and is composed of metamers, i.e. two different spectra with the same chromaticity coordinates. These spectra address different receptors in the eye, which means that neurostimulation can be achieved without any perceptible modulation of the light source. As part of the thesis, a literature review will be conducted to familiarize with the current state of research. This step will be followed by the design and implementation phase of a setup for spectral and stroboscopic neurostimulation. Subsequently, with the help of an EEG available in the faculty, the extent to which a modulation depth reduction can be distinguished from a non-visual spectral modulation will be evaluated.

40 Hz light stimulation has emerged as a promising non-invasive neuromodulation strategy for the alleviation of neuropsychiatric disorders. Previous research on light stimulation has focused on wavelength, intensity and exposure time of light, measuring rhythm, sleep and cognitive abilities to assess the regulatory effects on physiological and cognitive functions. In mouse studies, one-hour exposure to 40 Hz stroboscopic light exposure has been shown to slow the progression of Alzheimer's disease and thus holds significant potential for treatment in humans. This potential has recently been manifested in preclinical and early clinical studies, indicating that 40 Hz light stimulation is associated with a significant alleviation of Alzheimer's disease-induced deficits in hippocampal gamma oscillation. The aim of this work is to investigate the state of the art of current light therapy systems. In particular, the potentials and limitations of 40 Hz light therapy systems should be identified. After a theoretical examination of the topic, a prototype should be developed and constructed that can be used for light therapy purposes and for non-invasive 40 Hz neuromodulation.