Zona pellucida removal resulted in a successful live birth: Report on a case with recurrent implantation failure due to embryonic bacteria contamination.

Key clinical message: In in vitro fertilization (IVF), laser offers several advantages. In this study, we employed laser to eliminate the zona pellucida of a contaminated embryo. This approach helps to rescue embryo with bacterial contamination, and improve embryo-endometrium interaction. Abstract: To present a case report on the removal of a contaminated zona pellucida from an embryo of patient with a history of recurrent implantation failure (RIF), which was followed by a successful live birth. We present the case of a 34-year-old patient with a history of 3 years of infertility who underwent in vitro fertilization. During the culture process, the embryos became contaminated, leading to three failed implantations. Despite the aneuploidy of the embryo and the implementation of a washing technique, the contamination persisted. In the final attempt, the contaminated zona pellucida was successfully removed using laser, followed by embryo transfer, resulting in a live birth. We provided detailed clinical information, including patient demographics, infertility history, ovarian response, evidence of bacterial contamination, embryo development, treatment protocols, and outcomes. Laser excision of the zona pellucida is a safe and effective method for addressing bacterial infection in embryos.

Compressed Sensing of EEG with Gabor Dictionary: Effect of Time and Frequency Resolution.

Electroencephalogram (EEG) signals have been widely used to analyze brain activities so as to diagnose certain brain-related diseases. They are usually recorded for a fairly long interval with adequate resolution, consequently requiring a considerable amount of memory space for storage and transmission. Recently compressed sensing (CS) has been proposed in order to effectively compress EEG signals. However, its performance is closely dependent on how a compression dictionary is built. Through our study, we notice that building the best fit over-complete Gabor dictionary plays an important role in this task. In this paper, we evaluate the effect of different time and frequency step sizes in building Gabor atoms on the performance of EEG signal compression using CS with three common EEG databases used by the research community. Taking the Normalized Mean Square Error (NMSE) as a performance metric, we present a quantitative study with an attempt to provide more insight on how to adopt CS in EEG signal compression.

Effect of Epoch Length on Compressed Sensing of EEG.

Aging populations are stretching existing healthcare systems to their limits in both developing and developed countries. Telemedicine is a promising solution to this challenging problem. Under the conventional data compression paradigm, long-time recording of electroencephalography (EEG) signals still generates excessive amount of data, which requires large data storage and long transmission time. While promoting mobile telemedicine with compressed sensing (CS) as a key system for EEG monitoring, this paper investigates the effect of epoch length on CS to compress EEG signals. Experimental results show that a longer epoch length leads to better signal compression at the expense of larger signal reconstruction time. At a sampling frequency of 256 Hz, a 4-s epoch length is suitable when using a general desktop computer to perform signal reconstruction.