Patents by Inventor Christopher Rozell

Christopher Rozell has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240170146
    Abstract: Methods and systems are described for providing deep brain stimulation (DBS) of the subcallosal cingulate region (SCC) to provide symptom relief in patients with treatment-resistant depression (TRD). The DBS devices may enable chronic electrophysiology recording to deliver SCC DBS therapy. One or more machine-learning models may identify SCC LFP changes that indicate the patient's current clinical state. The clinical state is distinct from acute transient stimulation effects, is sensitive to DBS stimulation adjustments, and accurately captures individual differences in recovery trajectory.
    Type: Application
    Filed: June 22, 2023
    Publication date: May 23, 2024
    Inventors: Sankaraleengam Alagapan, Christopher Rozell, Helen Mayberg, Vineet Tiruvadi, Allison Waters, Patricio Riva-Posse, Stephen Heisig, Robert Butera, Ki Sueng Choi, Andrea Crowell
  • Publication number: 20220322999
    Abstract: The present disclosure relates to systems and methods for detecting sleep-wake activity of a subject using change-point events determined from physiological and/or movement measures. In one implementation, the method may include obtaining at least one set of sensor data generated by one or more sensors for a period of time. The method may also include generating at least two measures from the at least one set of sensor data. The method may further include determining a series of change point events for each measure for the period of time. The method may include determining a sleep stage for each interval of the period of time from at least two sleep stages by processing the series of change point events for each measure using a sleep stage classifier. The sleep stage classifier may include a set of parameters for each measure.
    Type: Application
    Filed: September 4, 2020
    Publication date: October 13, 2022
    Inventors: Gari Clifford, Ayse Cakmak, Christopher Rozell, Adam Willats
  • Publication number: 20210275058
    Abstract: The disclosed technology includes devices and methods for a wearable cardiac monitoring system to determine morphological variability and localization of the wearable cardiac monitoring system. The disclosed technology can include receiving seismocardiographic data, determining a classifier of the seismocardiographic data, determining a signal quality index of the seismocardiographic data, determining a quality of the seismocardiographic data based on the classifier and the signal quality index, and outputting an indication of the quality of the seismocardiographic data to a graphical user interface.
    Type: Application
    Filed: May 10, 2021
    Publication date: September 9, 2021
    Inventors: Jonathan Zia, Omer Inan, Jacob Kimball, Christopher Rozell