The Waveband device is a wearable EEG device that can be used while the patient is at home. It allows us to capture multi-night data as well as data during the daytime as well. The battery life for this device is approximately 24 hours or perhaps a little bit more. So there’s some very powerful, remote patient monitoring kind of capabilities that are embedded in this particular device. We were motivated in regards to the study that we performed on patients with narcolepsy type one or patients who have suspected narcolepsy or some other type of central hypersomnia disorder...
The Waveband device is a wearable EEG device that can be used while the patient is at home. It allows us to capture multi-night data as well as data during the daytime as well. The battery life for this device is approximately 24 hours or perhaps a little bit more. So there’s some very powerful, remote patient monitoring kind of capabilities that are embedded in this particular device. We were motivated in regards to the study that we performed on patients with narcolepsy type one or patients who have suspected narcolepsy or some other type of central hypersomnia disorder. We felt like there was a better way of being able to diagnose patients with hypersomnia rather than our traditional polysomnography with multiple sleep latency test. And therefore, we recruited patients with hypersomnia, narcolepsy type one, and we performed a Waveband test while the patient was at home for seven nights and for one daytime period. We also did this simultaneously with polysomnography and multiple sleep latency tests so that we have the capability of direct comparison of the results of the Waveband and polysomnography and multiple sleep latency test and were able to directly compare performance. We were very encouraged that the performance of the Waveband compared to PSG MSLT was very good. And we were also further encouraged that during the six nights or seven nights at home, as well as one 24-hour period, we were able to collect additional information that we feel is very important in being able to identify more refined phenotypes of hypersomnia. So we’re still contemplating what the next step is, but if we envision what the future might look like, this very well could be a better modality, potentially, in regards to being able to diagnose patients with a hypersomnia condition.
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