Sleep Review interviews Jean Gotman, PhD, president and CEO of Stellate.

 Jean Gotman, PhD

Companies that provide products to sleep specialists must continually adjust to accommodate the ever-changing needs of the expanding market. Sleep Review spoke with Jean Gotman, PhD, president and CEO of the Canadian company Stellate of Montreal, Quebec, about how the company he founded 18 years ago has grown with the sleep industry.

Q: How has Stellate’s role in the sleep industry changed?
A:
Stellate, a company active since 1986, started with applications particularly aimed at quantitative analysis of neurophysiological signals. It then expanded into complete systems for EEG and long-term monitoring (LTM). In the past few years, Stellate has put a heavy emphasis on sleep systems, providing a platform that is not only compatible for EEG, LTM, and PSG but also tailored to each type of user.

Q: What sets Stellate apart from other manufacturers of sleep systems?
A:
Stellate’s philosophy has been excellence in product quality and innovation, and excellence in customer relations. We have a large team of engineers and software specialists working together with our EEG and PSG experts to develop applications that are at the forefront of their field, while maintaining ease of use. With respect to customer relations, Stellate offers very thorough training on its products on- and off-site, as well as more complete training on broader aspects of EEG and PSG at its facilities.

Q: Tell us about the company’s Harmonie-S version 6.0.
A:
Stellate is introducing Harmonie-S version 6.0 for poly-somnographic studies in adults and children. The reliable system features complete functionality and a user-friendly interface. It includes a highly secure SQL database providing flexible archiving, traceability, and privacy features. Version 6.0 also includes a powerful trending feature, allowing the trending of multiple parameters such as the respiratory distress index and user-defined spectral bands over standard sleep epochs or shorter epochs for studying the sleep microstructure. Multiple trend graphs can be configured to meet the specific needs of the user and saved in easy-to-use templates. All sleep and event parameters are saved in the database, and a query engine allows the selective retrieval of important statistics over patient groups.