I have interest in the study of human motion ( Actigraphy), and have built a couple of smartphone apps using its principles. The apps look at gross motor activity of an individual. Up until now, most of my reading into the field has been focused on the study of sleep. With Actigraphy, there are clear ~90 minute activity patterns visible over the course of the night that roughly correlate with the 4 stages of sleep. There are algorithms by Cole and Sadeh which describe how to score sleep using activity counts.
- Are there any uses of actigraphy for awake patients?
- Are there any investigations of the correlation between the overall activity pattern/level and the brain wave frequency (alpha/beta/...)?
- Are there any wake-related actigraphy algorithms?
Update thank you for answers and comments! Let me clarify the question. I'm interested in comparing a rather long history of events for the same individual wearing an actigraph.
For example we have a person who's both an athlete and also does meditation. I'm interested in using actigraphy to determine the length of the meditation sessions, along with any increase/decrease of overall activity pattern that may accompany meditation activity (ex: deeper concentration moves the brain to a different brainwave and relaxes the body, or nervousness and fidgeting rising, the person cannot get to the correct brainwave and cuts the session short).
Lets say the same person is a runner. Wearing an actigraph during sessions displays two important characteristics: When the person is and is not running. (going out to run is an action that requires conscious action. How long the person is running. If a person is feeling "negative", the person may not go out to run). If a person does go out to run, the running session may be cut short if a person is not in the right state of mind.
Combined with self-reported events (ex: running session started, meditation session started), such actigraphy data may be plotted day by day. I'm interested if there have been studies of such data.