Wearable Technology Helps Monitor Mental Illness
Psychiatric researchers at the University of California, San Diego (UCSD) School of Medicine will report important new findings from a study of patients with bipolar affective disorder and schizophrenia at the upcoming meeting of the Society of Biological Psychiatry, to be held in San Diego May 17-20.The patented approach developed at UCSD, using a novel device called a “LifeShirt” – a computerized vest that continuously monitors the patient’s movements – shows that patterns of movements differ between patients with the two disorders. The device, manufactured by VivoMetrics©, monitors hyperactive and repetitive movements, and collects data on respiration, heart rate and other physiological measures.
While wearing the vest, subjects’ movements were also recorded by a camera embedded in the ceiling, and the film of their exploratory behavior converted into movement patterns that characterize the manic phase of the disorder. Patients with bipolar disease exhibited hyperactivity and a wide range of exploration when in a novel environment, according to the researchers. Schizophrenic patients, on the other hand, exhibited much more restricted movements.
“When patients are highly symptomatic, it is sometimes difficult for physicians to diagnose whether an individual is exhibiting signs of schizophrenia or bipolar disorder,” said William Perry, Ph.D., UC San Diego professor of psychiatry, who is leading a five-year study of bipolar disorder funded by the National Institutes of Mental Health. “In our first report from the study, we find that patients in the two groups show different patterns of exploration in new environments.”
The “behavioral pattern monitor” research in patients is based upon parallel studies with rats and mice, conducted by co-investigators Mark Geyer, Ph.D., and Martin Paulus, M.D., both UC San Diego professors of psychiatry. When rodents are given drugs such as amphetamines, or have genetic abnormalities that change brain chemistry, they exhibit distinctive, abnormal movement patterns and difficulties in filtering information. The medications that are used to treat bipolar disorder normalize these behaviors and thoughts.
“The LifeShirt and our analyses of their exploratory movements allow us to take precise measurements while the person moves freely,” said Perry. “It offers a promising approach to helping us learn about the underlying function of patients with bipolar disorder.”
While wearing the vest, subjects’ movements were also recorded by a camera embedded in the ceiling, and the film of their exploratory behavior converted into movement patterns that characterize the manic phase of the disorder. Patients with bipolar disease exhibited hyperactivity and a wide range of exploration when in a novel environment, according to the researchers. Schizophrenic patients, on the other hand, exhibited much more restricted movements.
“When patients are highly symptomatic, it is sometimes difficult for physicians to diagnose whether an individual is exhibiting signs of schizophrenia or bipolar disorder,” said William Perry, Ph.D., UC San Diego professor of psychiatry, who is leading a five-year study of bipolar disorder funded by the National Institutes of Mental Health. “In our first report from the study, we find that patients in the two groups show different patterns of exploration in new environments.”
The “behavioral pattern monitor” research in patients is based upon parallel studies with rats and mice, conducted by co-investigators Mark Geyer, Ph.D., and Martin Paulus, M.D., both UC San Diego professors of psychiatry. When rodents are given drugs such as amphetamines, or have genetic abnormalities that change brain chemistry, they exhibit distinctive, abnormal movement patterns and difficulties in filtering information. The medications that are used to treat bipolar disorder normalize these behaviors and thoughts.
“The LifeShirt and our analyses of their exploratory movements allow us to take precise measurements while the person moves freely,” said Perry. “It offers a promising approach to helping us learn about the underlying function of patients with bipolar disorder.”
