Chi-In Lo1,2,3, Sheng-Shiung Chang1,2,3, Jui-Peng Tsai1,2,3, Jen-Yuan Kuo1,2,3, Ying-Ju Chen4, Ming-Yuan Huang2,5, Chao-Hsiung Lee2,5, Kuo-Tzu Sung1,2,3, Chung-Lieh Hung1,2,3, Charles Jia-Yin Hou1,2,3, Edward Lai6, Hung-I Yeh1,2,3, Wen-Ling Chang4, Wen-Han Chang2,3,5,7,8,9. 1. Cardiovascular Division, Department of Internal Medicine, MacKay Memorial Hospital, Taipei. 2. Department of Medicine, Mackay Medical College, New Taipei City. 3. Department of Nursing, Mackay Junior College of Medicine, Nursing and Management. 4. Mackay Memorial Hospital, Telehealth and Home Care Center. 5. Emergency Department, Mackay Memorial Hospital, Taipei, Taiwan. 6. Ira A. Fulton School of Engineering, Arizona State University, Tempe, Arizona, United States. 7. Graduate Institute of Injury Prevention and Control, Taipei Medical University. 8. Institute of Mechatronic Engineering, National Taipei University of Technology. 9. School of Medicine, Taipei Medical University, Taipei, Taiwan.
Abstract
BACKGROUND: Remote cardiac rhythm monitoring and recording, using hand-carried electrocardiogram (ECG) device had been widely used in telemedicine. The feasibility and accuracy analysis on the data recorded by a new miniature ECG system-on-chip (SoC) system has not been explored before. METHODS: This study evaluated the accuracy of the ECG recordings captured by CardioChip - a single-channeled, low-powered, miniature ECG SoC designed for mobile applications; comparing against Philips Pagewriter Trim III - a Food and Drug Administration certified, widely-used standard 12-lead ECG recording device, within Mackay Memorial Hospital in Taiwan. RESULTS: Total of 111 participants, age ranging from 39 to 87years old [mean age: 61.2 ± 13.4, 57 male (51.3%)] were enrolled. Two experienced cardiologists rated and scored the ECG morphology to be the same between the two devices, while CardioChip ECG was more sensitive to baseline noise. R-peak amplitudes measured both devices using single lead information (CardioChip ECG vs. Lead 1 in standard 12-lead ECG) showed statistical consistency. Offline analysis of signal correlation coefficients and coherence showed good correlation with both over 0.94 in average (0.94 ± 0.04 and 0.95 ± 0.04, respectively), high agreement between raters (94% agreement) for detecting abnormal cardiac rhythm with excellent R-peak amplitude (r = 0.98, p < 0.001) and PR interval (r = 0.91, p < 0.001) correlations, indicating excellent correlation between ECG recordings derived from two different modalities. CONCLUSIONS: The results suggested that CardioChip ECG is comparable to medical industry standard ECG. The future implementation of wearable ECG device embedded with miniature ECG system-on-chip (SoC) system is ready for clinical use, which will potentially enhance efficacy on identifying subjects with suspected cardiac arrhythmias.
BACKGROUND: Remote cardiac rhythm monitoring and recording, using hand-carried electrocardiogram (ECG) device had been widely used in telemedicine. The feasibility and accuracy analysis on the data recorded by a new miniature ECG system-on-chip (SoC) system has not been explored before. METHODS: This study evaluated the accuracy of the ECG recordings captured by CardioChip - a single-channeled, low-powered, miniature ECG SoC designed for mobile applications; comparing against Philips Pagewriter Trim III - a Food and Drug Administration certified, widely-used standard 12-lead ECG recording device, within Mackay Memorial Hospital in Taiwan. RESULTS: Total of 111 participants, age ranging from 39 to 87years old [mean age: 61.2 ± 13.4, 57 male (51.3%)] were enrolled. Two experienced cardiologists rated and scored the ECG morphology to be the same between the two devices, while CardioChip ECG was more sensitive to baseline noise. R-peak amplitudes measured both devices using single lead information (CardioChip ECG vs. Lead 1 in standard 12-lead ECG) showed statistical consistency. Offline analysis of signal correlation coefficients and coherence showed good correlation with both over 0.94 in average (0.94 ± 0.04 and 0.95 ± 0.04, respectively), high agreement between raters (94% agreement) for detecting abnormal cardiac rhythm with excellent R-peak amplitude (r = 0.98, p < 0.001) and PR interval (r = 0.91, p < 0.001) correlations, indicating excellent correlation between ECG recordings derived from two different modalities. CONCLUSIONS: The results suggested that CardioChip ECG is comparable to medical industry standard ECG. The future implementation of wearable ECG device embedded with miniature ECG system-on-chip (SoC) system is ready for clinical use, which will potentially enhance efficacy on identifying subjects with suspected cardiac arrhythmias.
Authors: Chun-Ming Shih; Che-Wei Lin; Daniel L Clinciu; Wen-Shan Jian; Terry B J Kuo; Phung Anh Nguyen; Usman Iqbal; Chun-Kung Hsu; Patrick O Owili; Yu-Chuan Jack Li Journal: Comput Methods Programs Biomed Date: 2015-05-08 Impact factor: 5.428
Authors: J Sivaraman; G Uma; P Langley; M Umapathy; S Venkatesan; G Palanikumar Journal: Comput Methods Programs Biomed Date: 2016-10-11 Impact factor: 5.428
Authors: Zachary C Haberman; Ryan T Jahn; Rupan Bose; Han Tun; Jerold S Shinbane; Rahul N Doshi; Philip M Chang; Leslie A Saxon Journal: J Cardiovasc Electrophysiol Date: 2015-03-19