BACKGROUND Detection of atrial fibrillation (AF) occurrence over a long duration has been a challenge in the screening and follow-up of AF patients. Wearable devices may be an ideal solution.OBJECTIVE The purpose of this study was to measure the sensitivity, specificity, and accuracy of a recently developed smart wristband device that is equipped with both photoplethysmographic (PPG) and single-channel electrocardiogram (ECG) systems and an AF-identifying, artificial intelligence (AI) algorithm, used in the short term.METHODS Use of the Amazfit Health Band 1S, which records both PPG and single-channel ECG data, was assessed in 401 patients (251 normal individuals and 150 ECG-diagnosed AF patients).RESULTS ECG and PPG readings could not be judged in 15 and 18 subjects, respectively. Subjects who were unable to be judged were defined as either false negative or false positive. The sensitivity, specificity, and accuracy of wristband PPG readings were 88.00%, 96.41%, and 93.27%, respectively, and those of wristband ECG readings were 87.33%, 99.20%, and 94.76%, respectively. When the original wristband ECG records were judged by physicians, the sensitivity, specificity, and accuracy were 96.67%, 98.01%, and 97.51%, respectively.CONCLUSION This promising new combination of PPG, ECG, and AI algorithm has the potential to facilitate AF detection.

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An indirect competitive enzyme-linked immunosorbent assay (icELISA) with enhanced specificity for melamine in milk was developed. Three haptens of melamine with different spacer-arms were used to prepare different plate coating antigens. It was found that the icELISA show best sensitivity and specificity to melamine when using the coating antigen prepared by coupling 3-(4,6-diamino-1,6-dihydro-1,3,5-triazin-2-ylthio)propanoic acid (Hapten C) with ovalbumin (OVA). The 50% inhibitory concentration (IC50) value was 35.4 ng·mL−1, the limit of detection (LOD) was 8.9 ng·mL−1 and the detectable working range (20–80% inhibitory concentration) was from 14.9 to 108.5 ng·mL−1, respectively. Compared to the ELISA results previously reported, the developed icELISA in the present study showed a much lower cross-reactivity to cyromazine, a fly-killing insecticide widely used in vegetables and stables. Recoveries obtained from milk samples in this study were in agreement with those obtained using the HPLC-MS method, indicating the detection performance of the icELISA could meet the requirement of the residue limit set by the Codex Alimentarius Commission. Therefore, the developed immunoassay can be applied for the analysis of melamine presented in milk.

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