The profile of refractory chronic cluster headache.

Introduction: Chronic cluster headache (CCH) is a relatively rare primary headache disorder whose management is often challenging. The prevalence of refractory CCH (rCCH) is unknown. Our aim is to describe the frequency of rCCH within a population of CCH, define the clinical profile of the refractory patients and the treatments they underwent.

Clinical predictors of therapeutic failure of occipital nerve stimulation in refractory chronic cluster headache.

Background: Occipital nerve stimulation (ONS) is a treatment with evidence in refractory chronic cluster headache (CCH). However, the variable response rate and cost make it necessary to investigate predictors of response.

Methods: This is a cross-sectional study conducted through the review of medical records of CCH patients from six hospitals in Madrid.

Preventive treatment of refractory chronic cluster headache: systematic review and meta-analysis.

Background: Preventive treatment for refractory chronic cluster headache (rCCH) is challenging and many therapies have been tried.

Objective: To study what could be considered the therapy of choice in rCCH through a systematic review and meta-analysis.

Methods: This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Occipital Nerve Stimulation for Pain Modulation in Drug-Resistant Chronic Cluster Headache.

Occipital nerve stimulation (ONS) is a surgical treatment proposed for drug-resistant chronic cluster headache (drCCH). Long-term series assessing its efficacy are scarce. We designed a retrospective observational study with consecutive sampling, evaluating the follow-up of 17 drCCH patients who underwent ONS.

Real-time estimation of pathological tremor parameters from gyroscope data.

This paper presents a two stage algorithm for real-time estimation of instantaneous tremor parameters from gyroscope recordings. Gyroscopes possess the advantage of providing directly joint rotational speed, overcoming the limitations of traditional tremor recording based on accelerometers. The proposed algorithm first extracts tremor patterns from raw angular data, and afterwards estimates its instantaneous amplitude and frequency.