Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 7; p. 2566
• Main Authors: Manoni, Alessandro, Gumiero, Alessandro, Zampogna, Alessandro, Ciarlo, Chiara, Panetta, Lorenzo, Suppa, Antonio, Della Torre, Luigi, Irrera, Fernanda
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 27.03.2022; MDPI
• Subjects: Algorithms; Artificial intelligence; Brain research; Charge transfer; Data recording; Electric Power Supplies; Electrocardiography; Electrodes; Electroencephalography; electrostatic sensors; Fainting; Hospitals; long time domestic monitoring; low power consumption; MEMS technology; Micro-Electrical-Mechanical Systems; Microelectromechanical systems; Monitoring; multiple biopotentials acquisition; Power management; Sensors; Wearable Electronic Devices; wearable sensors; Wearable technology; Wireless Technology; electrostatic sensors; long time domestic monitoring; wearable sensors; MEMS technology; low power consumption; multiple biopotentials acquisition

In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-liv...