title: SHIMMER: an extensible platform for physiological signal capture.
abstract: Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product performance, robustness and extensibility. Wearable physiological monitoring systems have been utilized in a variety of studies, particularly those investigating ECG or EMG during human movement or sleep monitoring. These systems require extensive validation to ensure accurate and repeatable functionality. Here we validate the physiological signals (EMG, ECG and GSR) of the SHIMMER (Sensing Health with Intelligence, Modularity, Mobility and Experimental Reusability) against known commercial systems. Signals recorded by the SHIMMER EMG, ECG and GSR daughter-boards were found to compare well to those obtained by commercial systems.
authors.affiliation: Intel's Digital Health Group, Ireland. Adrian.burns@intel.com
authors.forename: Adrian
authors.initials: A
authors.lastname: Burns
authors.forename: Emer P
authors.initials: EP
authors.lastname: Doheny
authors.forename: Barry R
authors.initials: BR
authors.lastname: Greene
authors.forename: Timothy
authors.initials: T
authors.lastname: Foran
authors.forename: Daniel
authors.initials: D
authors.lastname: Leahy
authors.forename: Karol
authors.initials: K
authors.lastname: O'Donovan
authors.forename: Michael J
authors.initials: MJ
authors.lastname: McGrath
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D004562:Electrocardiography / Q000295:instrumentation; D004576:Electromyography / Q000295:instrumentation; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009068:Movement; D012890:Sleep