The Siesta Group

(1) next generation sleep staging equipped to process data from a variety of different recording technologies (from heart rate and respiratory signals to reduced and standard PSG)

(2) disease and compound specific biomarker identification through transparent AI-based classification techniques

Data visualization is at the heart of translating scientific observations into clinical innovations. Therefore, The Siesta Group has always been pioneering the scientific validation and technical implementation of novel visualization tools for CNS clinical trials, such as LORETA (EEG-based source localization technique).

European Data Format (EDF) and especially acknowledging its growing acceptance as quasi-standard file format in CNS clinical trials, we recognize the importance of our continuing contribution to the field.

Therefore, we decided to open source an actively maintained state-of-the-art python EDF reader/writer library (pyedfio) that fulfills the same rigorous quality standards that we apply to data handling in all CNS clinical trials we are involved in.

Developed in collaboration with Harvard-Professor Dr. Ali Azerbazin the platform calculates the Hypoxic Burden Index (HBI), an integrated measure of both, rate and severity of apnea events. Therefore, HBI adds distinct analytical value to OSA studies in parallel to the standard AHI-endpoint.

Since 2016 The Siesta Group is a member of PPRS. A company that comprises of an expert team in the development of CNS drug-candidates and medical devices for CNS clinical trials, such as Somno-Art, an innovative home sleep measurement device

Somno-Art utilizes the combination of heart rate variability and actimetry signals coupled with a state-of-the-art machine learning algorithm to extract detailed sleep biomarkers. Sleep architecture and derived endpoints show excellent correlation with results based on gold-standard manual scoring.