TY - GEN
T1 - Heartbeat sensing and control of the 3D LED cube
AU - Mao, Runyu
AU - Tong, Wenxin
AU - Kan, Chen
AU - Yang, Hui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/4/11
Y1 - 2017/4/11
N2 - Recent advancement of sensing technology has fueled increasing interests in the development of cardiac monitoring systems. However, existing devices are limited in their ability to effectively characterize different disease patterns in a 3D way. An ECG sensing device with high visualizability can assist in the decision-making process of cardiovascular disease treatments. In this undergraduate project, we designed and developed a new device to characterize and visualize single-channel ECG signals in a 3D LED cube. Collected signals are processed using signal processing techniques, e.g., smoothing, gradient, and Laplacian. Processed signals are then used as inputs to control the hue, saturation and brightness of LEDs in a 3D LED cube. As such, disease characteristics of ECG signals are dynamically represented by colored patterns in the LED cube. This device shows strong potentials to increase the visibility and interpretability of information pertinent to the underlying complex cardiac activity.
AB - Recent advancement of sensing technology has fueled increasing interests in the development of cardiac monitoring systems. However, existing devices are limited in their ability to effectively characterize different disease patterns in a 3D way. An ECG sensing device with high visualizability can assist in the decision-making process of cardiovascular disease treatments. In this undergraduate project, we designed and developed a new device to characterize and visualize single-channel ECG signals in a 3D LED cube. Collected signals are processed using signal processing techniques, e.g., smoothing, gradient, and Laplacian. Processed signals are then used as inputs to control the hue, saturation and brightness of LEDs in a 3D LED cube. As such, disease characteristics of ECG signals are dynamically represented by colored patterns in the LED cube. This device shows strong potentials to increase the visibility and interpretability of information pertinent to the underlying complex cardiac activity.
UR - http://www.scopus.com/inward/record.url?scp=85018374993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018374993&partnerID=8YFLogxK
U2 - 10.1109/BHI.2017.7897237
DO - 10.1109/BHI.2017.7897237
M3 - Conference contribution
AN - SCOPUS:85018374993
T3 - 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
SP - 189
EP - 192
BT - 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
Y2 - 16 February 2017 through 19 February 2017
ER -