Physiological Signal Sensing for Mental Health Monitoring and Management

Dear Colleagues,

In the clinical practices of psychiatric disorders as well as in the management of mental health, there is an increasing need to use physiological measures. This Special Issue welcomes the researches which utilize physiological signals and process the data for understanding and treating mental disturbances. Both clinical and basic studies will be accepted.

Compact sensing systems are desirable for real-time monitoring and processing the physiological signals. Physiological signals include electroencephalogram, event-related potential, slow potential, heart rate, heart rate variability, skin condunctance, pupil size, gut movement, and cerebral blood flow.

The research topics cover mental disorders including depression, anxiety, stress-related disorders, schizophrenia, developmental disorders, dementia, sleep disturbances, and delirium. The researchs on mental health in the normal polulation are also suitable.

In the research, it is preferred to assess and discuss the interventions for ameliorating and treating the mental symptoms depending on the results of the physiological signal processing. The interventions may be physical (ex. brain stimulation), pharmacological, behavioral, and psychological. The studies using neurofeedback and brian–machine interface are welcome. Human basic studies and animal studies which aim to develop the monitoring and management systems are also appropriate.

This special issue provides the forum for the scientific researches covering clinical application of physiological sensors for monitoring and maintaining the mental health

Dr. Toshikazu Shinba
Guest Editor

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