SPCS 2016 Abstracts


Area 1 - Biomedical Signal Processing

Short Papers
Paper Nr: 7
Title:

Adaptive Forward-Reverse Filter using Interpolation Methods for Artifact Suppression in Retinal Prostheses

Authors:

Myounghwan Choi, Jeong-Yeol Ahn, Dae-Jin Park, Yujin Jeong, Sangyeol Lee, Sanghyub Lee, Dong-il Cho, Yong-Sook Goo and Kyo-in Koo

Abstract: Electrical stimulation on retinal ganglion cells (RGCs) induce the short-latency (directly-evoked) and long-latency (indirectly-evoked) responses of RGCs. The artifact suppression and isolation of direct RGC spike is required for proper analysis of visual information. Adaptive forward-reverse filter (FR filter) using interpolation method is proposed and evaluated. On selected over 1.6 ms waves, which is suspected as artifact, 2 new data points are linearly interpolated between the recorded data points. After that, the interpolated data are filtered by frequency-based FR filter (500 Hz). The proposed algorithm shows the best true positive rate (0.7629) comparing with the SALPA and the simple FR filter without the interpolation method. In point of view of the false positive rate, the proposed algorithm demonstrates the second-best performance (0.0047), not better than the SALPA (0.0006).

Posters
Paper Nr: 11
Title:

Internal Consistency of Physiological Responses during Exposure to Emotional Stimuli using Biosensors

Authors:

Eun-Hye Jang, Ah-Young Kim, Sang-Hyeob Kim, Han-Young Yu and Jin-Hun Sohn

Abstract: In biomedical engineering application, mental/physical health monitoring using biosensors has been lately noticed because bio-signal acquisition by non-invasive sensors is relatively simple as well as bio-signal is less sensitive to social/cultural difference. In particular, although it is known that they are significantly correlated with human emotional state, whether the signals by various emotions are stable remains unknown. In this study, we examined the consistency of physiological responses induced by six basic emotions, happiness, sadness, anger, fear, disgust and surprise using an experiment that was repeated 10 times. Twelve college subjects participated in this experiment. For emotion induction, sixty different emotional stimuli were selected in a pilot experiment. Heart Rate (HR), Skin Conductance Level (SCL), mean of Skin Temperature (meanSKT), and mean of Photoplethysmograph (meanPPG) were measured before the presentation of stimuli as a baseline and during the presentation of the stimuli as emotional state. The results showed that physiological responses during emotional states for the 10 times the experiment was repeated were stable and consistent compared to the baseline. In particular, we could identify that physiological features such as SCL, HR, and PPG are very reliable. Our results suggest that bio-signals by six emotions are consistent over time regardless of various stimuli. This means that physiological responses are reliable and biosensors are useful tool for emotion recognition.

Area 2 - Communication Systems

Full Papers
Paper Nr: 8
Title:

Mode Combining and -Splitting in Optical MIMO Transmission using Photonic Lanterns

Authors:

Andreas Ahrens and Steffen Lochmann

Abstract: Within the last years the multiple-input multiple-output (MIMO) technology has revolutionized the optical fibre community. Theoretically, the concept of MIMO is well understood and shows some similarities to wireless MIMO systems. However, practical implementations of optical components are in the focus of interest of substantial research. Optical couplers have long been used as passive optical components also being able to combine or split SISO (single-input single-output) data transmission. They have been proven to be well suited for the optical MIMO (multiple-input multiple-output) transmission despite their insertion losses and asymmetries. Nowadays, next to optical couplers, Photonic Lanterns (PLs) have attracted a lot of attention in the research community as they offer the benefit of a low loss transition from the input fibers to the modes supported by the waveguide at its output. Therefore they seem to be highly beneficial for optical MIMO communication. In this contribution mode coupling and splitting devices such as PLs and fusion couplers have been analysed in a testbed with regard to their respective MIMO suitability. Based on the obtained results, a simplified time-domain MIMO simulation model including PLs for mode-combining at the transmitter side as well as mode-splitting at the receiver side is elaborated. Our results obtained by the simulated bit-error rate (BER) performance show that PLs are well suited for the optical MIMO transmission.

Short Papers
Paper Nr: 5
Title:

Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes

Authors:

Andreas Ahrens, Christoph Lange and César Benavente-Peces

Abstract: The energy demand of telecommunication equipment and networks has been identified to be significant. In the information society such networks are vital for societal and economic welfare as well as for the people’s private lives. Therefore an improved energy efficiency of telecommunication networks is essential in the context of sustainability and climate change. Load-adaptive regimes are a promising option for energy-efficient and sustainable network operation. As the capacity is adapted to temporally fluctuating traffic demands, they require a robust traffic demand estimation. As a potential solution to mitigate this problem, a method for reliable traffic demand forecasting on relevant time scales using Wiener filtering is presented. The results show that the capacity dimensioning based on the proposed Wiener filtering traffic estimation method leads to reliable outcomes enabling sustainable and efficient network operation.

Area 3 - Image Processing

Short Papers
Paper Nr: 12
Title:

Automatic 3D Point Set Reconstruction from Stereo Laparoscopic Images using Deep Neural Networks

Authors:

Bálint Antal

Abstract: In this paper, an automatic approach to predict 3D coordinates from stereo laparoscopic images is presented. The approach maps a vector of pixel intensities to 3D coordinates through training a six layer deep neural network. The architectural aspects of the approach is presented and in detail and the method is evaluated on a publicly available dataset with promising results.