Litcius/Paper detail

Wearable Multiple Modality Bio-Signal Recording and Processing on Chip: A Review

Qiuyang Lin, Shuang Song, Iván Castro, Hui Jiang, Mario Konijnenburg, Roland van Wegberg, Dwaipayan Biswas, Stefano Stanzione, Wim Sijbers, Chris Van Hoof, Filip Tavernier, Nick Van Helleputte

2020IEEE Sensors Journal68 citationsDOI

Abstract

Remote home monitoring via wearables is rapidly gaining popularity, thanks to ever more complex vital signs recording and data analytics that are embedded into single devices. True system-on-chips (SoCs) push the envelope of power and form factor, while wearables are becoming more common-place, novel health sensing paradigms appear. Non-contact sensing technologies enable vital signs sensing without requiring any physical contact with the human body. This article reviews existing multiple-modality bio-signal recording and processing SoCs, circuit techniques for individual bio-signal readout channels including electrocardiography (ECG), Electroencephalography (EEG), Bio-impedance (BioZ), photoplethysmography (PPG), and non-contact sensing with high user comfort. The state-of-the-art wearable sensor interfaces and systems together with future development trends are provided.

Topics & Concepts

Wearable computerPhotoplethysmogramComputer scienceModality (human–computer interaction)Signal processingWearable technologySIGNAL (programming language)Computer hardwareEmbedded systemHuman–computer interactionTelecommunicationsWirelessDigital signal processingProgramming languageNon-Invasive Vital Sign MonitoringECG Monitoring and AnalysisAdvanced Sensor and Energy Harvesting Materials