Single-Channel Ecg-Based Sleep Stage Classification With End-To-End Trainable Deep Neural Networks.

The demand for automatic sleep stage classification using easily obtainable signals like electrocardiograms (ECGs) is rising due to the growing number of sleep disorder cases. Our study examined the potential of using single-channel ECG signals for user-friendly automatic sleep stage classification. Unlike previous studies that relied on manual features such as heart rate and variability, we propose using fully neural network-based features. The proposed model uses a ContextNet-based feature encoder applied to the ECG spectrogram, and a Transformer model to capture the temporal properties of sleep cycles over the course of the night.

Characterization and expression analysis of mesenchymal stem cells from human bone marrow and adipose tissue.

Human mesenchymal stem cells (MSC), that have been reported to be present in bone marrow, adipose tissues, dermis, muscles and peripheral blood, have the potential to differentiate along different lineages including those forming bone, cartilage, fat, muscle and neuron. This differentiation potential makes MSC excellent candidates for cell-based tissue engineering. In this study, we have examined phenotypes and gene expression profile of the human adipose tissue-derived stromal cells (ATSC) in the undifferentiated states, and compared with that of bone marrow stromal cells (BMSC). ATSC were enzymatically released from adipose tissues from adult human donors and were expanded in monolayer with serial passages at confluence. BMSC were harvested from the metaphysis of adult human femur. Flowcytometric analysis showed that ATSC have a marker expression that is similar to that of BMSC. ATSC expressed CD29, CD44, CD90, CD105 and were absent for HLA-DR and c-kit expression. Under appropriate culture conditions, MSC were induced to differentiate to the osteoblast, adipocyte, and chondrogenic lineages. ATSC were superior to BMSC in respect to maintenance of proliferating ability, and microarray analysis of gene expression revealed differentially expressed genes between ATSC and BMSC. The proliferating ability and differentiation potential of ATSC were variable according to the culture condition. The similarities of the phenotypes and the gene expression profiles between ATSC and BMSC could have broad implications for human tissue engineering.