Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients.
Hyoyoung JeongJong Yoon LeeKunHyuck LeeYoun J KangJin-Tae KimRaudel AvilaAndreas TzaveilsJoohee KimHanjun RyuSung Soo KwakJong Uk KimAnthony BanksHokyung JangJan-Kai ChangShupeng LiChaithanya K MummidisettyYoonseok ParkSimone NappiKeum San ChunYoung Joong LeeKyeongha KwonXiaoyue NiHa Uk ChungHaiwen LuanJae-Hwan KimChangsheng WuShuai XuAnthony BanksArun JayaramanYonggang HuangJohn A RogersPublished in: Science advances (2021)
Soft, skin-integrated electronic sensors can provide continuous measurements of diverse physiological parameters, with broad relevance to the future of human health care. Motion artifacts can, however, corrupt the recorded signals, particularly those associated with mechanical signatures of cardiopulmonary processes. Design strategies introduced here address this limitation through differential operation of a matched, time-synchronized pair of high-bandwidth accelerometers located on parts of the anatomy that exhibit strong spatial gradients in motion characteristics. When mounted at a location that spans the suprasternal notch and the sternal manubrium, these dual-sensing devices allow measurements of heart rate and sounds, respiratory activities, body temperature, body orientation, and activity level, along with swallowing, coughing, talking, and related processes, without sensitivity to ambient conditions during routine daily activities, vigorous exercises, intense manual labor, and even swimming. Deployments on patients with COVID-19 allow clinical-grade ambulatory monitoring of the key symptoms of the disease even during rehabilitation protocols.
Keyphrases
- heart rate
- blood pressure
- heart rate variability
- healthcare
- physical activity
- endothelial cells
- air pollution
- particulate matter
- sars cov
- image quality
- high speed
- current status
- cell proliferation
- induced pluripotent stem cells
- computed tomography
- gene expression
- resistance training
- genome wide
- pluripotent stem cells
- dna methylation
- respiratory tract
- high resolution