We develop various soft wearable sensors including EEG sensors, bend sensors and force sensors that can be integrated with our soft robots to provide real-time feedback control.
Wearable EEG Device for Anxiety Monitoring
Anxiety disorders are the most common mental illness in the U.S. affecting nearly 40 106 adults (18% of the U.S. Population). It has been shown that patients with recurring anxiety tend to be more suicidal and prone to depression. Anxiety has also been proven to be an impeding factor in the rehabilitation time of subjects suffering from various diseases ranging from pulmonary afflictions to cancer. Detection of anxiety is commonly done through various tests conducted by psychologists , which are time consuming and not necessarily accurate. Recently, electroencephalographic (EEG) data have been shown to be useful in the case of most anxiety patients to detect the levels of anxiety. Two of the key areas of the brain that are known to be affected by patients suffering from social anxiety are the occipital and frontal lobes. Research in the field has shown that changes in the alpha feedback are commonly seen in high anxiety and neurotic patients and alpha EEG biofeedback is commonly used in the management of anxiety. It has also been suggested that anxiety can be detected through analysis of alpha-theta and theta waves of the EEG signals while theta waves are most commonly seen in the case of animal experimentation of anxiety and fear. Considering the importance of real-time observation and management of anxiety states in patients, we developed a wearable EEG device for anxiety monitoring and investigated the influence of induced anxiety on the responses of the brainwaves obtained from the occipital lobes.
S. Suresh, Y.C. Liu, C.H. Yeow. "Development of a Wearable EEG Device for Anxiety Monitoring". ASME Journal of Medical Devices 2015; 9(3):030917- 030917-3.