Heartbeat sensing and control of the 3D LED cube

Runyu Mao; Wenxin Tong; Chen Kan; Hui Yang

doi:10.1109/BHI.2017.7897237

Heartbeat sensing and control of the 3D LED cube

Runyu Mao
, Wenxin Tong
, Chen Kan
, Hui Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-192
Number of pages	4
ISBN (Electronic)	9781509041794
DOIs	https://doi.org/10.1109/BHI.2017.7897237
State	Published - Apr 11 2017
Event	4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 - Orlando, United States Duration: Feb 16 2017 → Feb 19 2017

Publication series

Name	2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017

Other

Other	4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017
Country/Territory	United States
City	Orlando
Period	2/16/17 → 2/19/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Health Informatics
Computer Science Applications
Biomedical Engineering

Access to Document

10.1109/BHI.2017.7897237

Cite this

Mao, R., Tong, W., Kan, C., & Yang, H. (2017). Heartbeat sensing and control of the 3D LED cube. In 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 (pp. 189-192). Article 7897237 (2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2017.7897237

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title = "Heartbeat sensing and control of the 3D LED cube",

abstract = "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.",

author = "Runyu Mao and Wenxin Tong and Chen Kan and Hui Yang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 ; Conference date: 16-02-2017 Through 19-02-2017",

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language = "English (US)",

series = "2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017",

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Mao, R, Tong, W, Kan, C & Yang, H 2017, Heartbeat sensing and control of the 3D LED cube. in 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017., 7897237, 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 189-192, 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017, Orlando, United States, 2/16/17. https://doi.org/10.1109/BHI.2017.7897237

Heartbeat sensing and control of the 3D LED cube. / Mao, Runyu; Tong, Wenxin; Kan, Chen et al.
2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 189-192 7897237 (2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Heartbeat sensing and control of the 3D LED cube

AU - Mao, Runyu

AU - Tong, Wenxin

AU - Kan, Chen

AU - Yang, Hui

PY - 2017/4/11

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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.

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SP - 189

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BT - 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017

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ER -

Mao R, Tong W, Kan C, Yang H. Heartbeat sensing and control of the 3D LED cube. In 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 189-192. 7897237. (2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017). doi: 10.1109/BHI.2017.7897237

Heartbeat sensing and control of the 3D LED cube

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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