During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed with the signal, potentially hindering doctors' ability to accurately assess and interpret patient data. Therefore, evaluating the quality of ECG signals before conducting analysis and diagnosis is crucial. This paper addresses the limitations of existing ECG signal quality assessment methods, particularly their insufficient focus on the 12-lead multi-scale correlation. We propose a novel ECG signal quality assessment method that integrates a convolutional neural network (CNN) with a squeeze and excitation residual network (SE-ResNet). This approach not only captures both local and global features of ECG time series but also emphasizes the spatial correlation among ECG signals. Testing on a public dataset demonstrated that our method achieved an accuracy of 99.5%, sensitivity of 98.5%, and specificity of 99.6%. Compared with other methods, our technique significantly enhances the accuracy of ECG signal quality assessment by leveraging inter-lead correlation information, which is expected to advance the development of intelligent ECG monitoring and diagnostic technology.
Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment of physiological information. Therefore, performing a quality assessment before extracting physiological information is crucial. This paper proposed a new PPG signal quality assessment by fusing multi-class features with multi-scale series information to address the problems of traditional machine learning methods with low accuracy and deep learning methods requiring a large number of samples for training. The multi-class features were extracted to reduce the dependence on the number of samples, and the multi-scale series information was extracted by a multi-scale convolutional neural network and bidirectional long short-term memory to improve the accuracy. The proposed method obtained the highest accuracy of 94.21%. It showed the best performance in all sensitivity, specificity, precision, and F1-score metrics, compared with 6 quality assessment methods on 14 700 samples from 7 experiments. This paper provides a new method for quality assessment in small samples of PPG signals and quality information mining, which is expected to be used for accurate extraction and monitoring of clinical and daily PPG physiological information.
ObjectiveTo evaluate the long-term effectiveness of vascularized fibula flap in radiocarpal joint reconstruction following excision of Campanacci grade Ⅲ giant cell tumor (GCT) of distal radius.MethodsBetween December 2010 and December 2014, 10 patients with Campanacci grade Ⅲ GCT of distal radius were treated with en bloc excision and inradiocarpal joint reconstruction using vascularized fibula flap. They were 6 males and 4 females, with an average age of 39.9 years (range, 22-65 years). The disease duration was 1.5-6.0 months (mean, 2.6 months). The length of distal radius defect was 6.0-12.5 cm (mean, 8.4 cm) after en bloc excision of GCT. Vascularized fibula flap with inferior lateral genicular vessels were performed in 6 patients and with inferior lateral genicular vessels and peroneal vessels in 4 cases.ResultsAll incisions healed by first intention. All patients were followed up 4.4-8.3 years (mean, 6.0 years). There was no tumor recurrence during follow-up. At last follow-up, the mean ranges of motion of wrist joint were 55.0° (range, 25-85°) in extension, 26.5° (range, 15-40°) in flexion, 12.0° (range, 5-25°) in radial deviation, 19.6° (range, 10-30°) in ulnar deviation, 50.5° (range, 5-90°) in pronation, and 66.5° (range, 20-90°) in supination. The mean grip strength of effected wrist was 75% (range, 60%-85%) of the healthy wrist. The mean Musculoskeletal Tumor Society (MSTS) score was 82.7% (range, 75%-90%). X-ray films showed that the fibula flap healed at 12-16 weeks after operation (mean, 14.1 weeks) and there were 9 cases of radiological complications.ConclusionFor Campanacci grade Ⅲ GCT of distal radius, application of the vascularized fibula flap in radiocarpal joint reconstruction after en bloc excision of GCT can obtain good wrist function.