Bipolar disorder is a chronic disease with unstable and unpredictable moods. Many individuals with bipolar disorder live very productive lives, but an episode of mania or depression can be devastating. The ability to access support in time to prevent an episode is key for living a stable life with bipolar disorder.
Researchers at the University of Michigan Depression Center and College of Engineering have teamed up to create a program called PRIORI, which studies the acoustics of speech and the ability to predict mood state changes. This novel technology is designed to monitor moods with minimal effort from the patient.
Dr. Melvin McInnis, M.D., FRCPsych, the Thomas B. and Nancy Upjohn Woodworth Professor of Bipolar Disorder and Depression at the U-M Depression Center, will present a brief overview of bipolar disorder from a clinical and genetic perspective and provide information on new methods for monitoring moods. This will be followed by questions from the audience and a discussion with panelists John Gideon, BS, MS, Graduate Student Research Assistant, U-M Department of Computer Science and Engineering; Jennifer Montgomery, MSW, LMSW, Clinical Social Worker, U-M Department of Psychiatry; and Kelly Ryan, PhD, Clinical Assistant Professor, Neuropsychology Program, U-M Department of Psychiatry.
For more information, please visit the Depression Center website at www.depressioncenter.org, or contact Trish Meyer, 763-7495, or email@example.com.
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Bright Nights Community Forum: Mobile Health Technology: Detecting Moods in Bipolar Disorder