A Wearable Integrated Bio-signal sensing interface Systems for Polysomnography

Abstract

Polysomnography(PSG) is golden standard that analysis and diagnose for sleep status. A polysomnogram will typically record a minimum of 12 channels requiring a minimum of 22 wire attachments to the patient. So, it is difficult for an individual to utilize. This paper presents the prototype of a wearable integrated bio-signal sensing interface systems for PSG. The system consists of 5 channel and feature extraction circuit to sense a various body signal, such as EEG,EMG, and EoG. Amplified analog signal goes to feature extraction block not software processing but scheme to detect the feature extraction of EEG in frequency domain. In order to detect the low frequency band like EEG, we implemented to Teager Energy Operator with normalize using gm cell[1]. The implemented ROIC was fabricated with 1.8V CMOS technology and it is implemented to dual-mode system for monitoring and diagnose