BioGlass: Physiological parameter estimation using a head-mounted wearable device

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外文摘要：This work explores the feasibility of using sensors embedded in Google Glass， a head-mounted wearable device， to measure physiological signals of the wearer。 In particular， we develop new methods to use Glass's accelerometer， gyroscope， and camera to extract pulse and respiratory rates of 12 participants during a controlled experiment。 We show it is possible to achieve a mean absolute error of 0。83 beats per minute (STD: 2。02) for heart rate and 1。18 breaths per minute (STD: 2。04) for respiration rate when considering different combinations of sensors。 These results included testing across sitting， supine， and standing still postures before and after physical exercise。

外文关键词：

acceleration measurementaccelerometersbiomechanicsbody sensor networkselectrocardiographyfeature extractiongyroscopesimage sensorsintelligent sensorsmedical signal processingpneumodynamicsBioGlassGlass accelerometerballistocardiogrambreathscameraembedded sensorsgoogle glassgyroscopehead-mounted wearable deviceheart ratemean absolute errorphysical exercisephysiological parameter estimationphysiological signal measurementpulse rate extractionrespiratory rate extractionDVDDecision support systemsBallistocardiogram (BCG)accelererometerblood volume pulse (BVP)cameradaily life monitoringgyroscopehead-mounted wearable deviceheart raterespiration rate

作者：

Hernandez, Jaime、Yin Li、Rehg, James M.、Picard, Rosalind W.

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作者单位：

Media Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA

会议名称：

EAI International Conference on Wireless Mobile Communication and Healthcare

会议地点：

Athens(GR)

会议母体文献：

2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

页码：

55-58

出版时间：

2014

DOI：

10.1109/MOBIHEALTH.2014.7015908