Metagenomic sequencing of expressed prostate secretions.

To investigate which microorganisms may be present in expressed prostate secretions (EPS) metagenomic sequencing (MGS) was applied to prostate secretion samples from five men with prostatitis and five matched control men as well as to combined expressed prostate secretion and urine from six patients with prostate cancer and six matched control men. The prostate secretion samples contained a variety of bacterial sequences, mostly belonging to the Proteobacteria phylum. The combined prostate secretion and urine samples were dominated by abundant presence of the JC polyomavirus, representing >20% of all detected metagenomic sequence reads.

Relationship between size and latency of action potentials in human muscle sympathetic nerve activity.

We employed a novel action potential detection and classification technique to study the relationship between the recruitment of sympathetic action potentials (i.e., neurons) and the size of integrated sympathetic bursts in human muscle sympathetic nerve activity (MSNA).

Spike detection in human muscle sympathetic nerve activity using a matched wavelet approach.

Sympathetic nerve recordings associated with blood pressure regulation can be recorded directly using microneurography. A general characteristic of this signal is spontaneous burst activity of spikes (action potentials) separated by silent periods against a background of considerable Gaussian noise. During measurement with electrodes, the raw muscle sympathetic nerve activity (MSNA) signal is amplified, band-pass filtered, rectified and integrated.

Performance analysis of stationary and discrete wavelet transform for action potential detection from sympathetic nerve recordings in humans.

Accurate investigation of the sympathetic nervous system is important in the diagnosis and study of various autonomic and cardiovascular control and disorders. Sympathetic function associated with blood pressure regulation in humans can be evaluated by recording muscle sympathetic nerve activity (MSNA), which is characterised by synchronous neuronal discharges separated by periods of neural silence dominated by colored gaussian noise. In this paper two common methods for detecting filtered action potential in MSNA recordings is compared.

Detection and classification of raw action potential patterns in human Muscle Sympathetic Nerve Activity.

The Muscle Sympathetic Nerve Activity (MSNA) consists of synchronous neural discharges separated by periods of neural silence dominated by heavy background noise. During measurement with electrodes, the raw MSNA signal is amplified, band-pass filtered, rectified and integrated. This integration process removes much neurophysiological information.