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Image Search Results
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: Signal traces recorded simultaneously from electrocardiography (ECG), Nonin finger-clip pulse oximetry device, and 2 Wavelet wristbands placed on the left and right wrists. Peaks (ECG and Nonin) or valleys (Wavelet) are marked. Signs were aligned based on time stamps and agreement of interbeat intervals in the absence of accurate pulse transit time information.
Article Snippet:
Techniques:
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: Representative instantaneous heart rate (HR) estimates from the wristbands on the left and right wrists show good agreement with the electrocardiography (ECG) HR measurements. Note that the beat-level HR data are computed in the background to estimate 60-second window HR averages reported in this study. Wavelet 1 and 2 labels refer to the wristband placed on the left and right wrists, respectively.
Article Snippet:
Techniques:
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: The accuracy of the biometric estimates (mean, SD) of the Wavelet wristband compared with the reference electrocardiography and respirometer measurements.
Article Snippet:
Techniques:
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: The distribution of measured heart rate (HR) by the electrocardiography (ECG) and the wristband (left). The Pearson correlation coefficient is shown in the lower-right corner of this scatter plot. Bland-Altman plots of the absolute error of HR between the wristband and the simultaneously recorded ECG measurements versus the mean of the measurements in beats per minute (right). The solid black line indicates the mean difference. The dotted lines mark the 95% limits of agreement (LoA) at −2.6 and 1.9 bpm.
Article Snippet:
Techniques:
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: The distribution of measured heart rate variability standard deviation of normal-to-normal intervals (HRV SDNN) by the electrocardiography (ECG) and the wristband (left). The Pearson correlation coefficient is shown in the lower-right corner of this scatter plot. Bland-Altman plots of the absolute error of HRV between the wristband and the simultaneously recorded ECG measurements versus the mean of the measurements in milliseconds (right). The solid black line indicates the mean difference. The dotted lines mark the 95% limits of agreement (LoA) at −25 and 22 ms.
Article Snippet:
Techniques: Standard Deviation
Journal: JMIR mHealth and uHealth
Article Title: Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
doi: 10.2196/11040
Figure Lengend Snippet: The distribution of measured heart rate variability root mean square of successive differences (HRV RMSSD) by the electrocardiography (ECG) and the wristband (left). The Pearson correlation coefficient is shown in the lower-right corner of this scatter plot. Bland-Altman plots of the absolute error of HRV between the wristband and the simultaneously recorded ECG measurements versus the mean of the measurements in milliseconds (right). The solid black line indicates the mean difference. The dotted lines mark the 95% limit of agreement (LoA) at −30 and 36 ms.
Article Snippet:
Techniques:
Journal: Annals of Noninvasive Electrocardiology
Article Title: Relationship between electrocardiogram‐based features and personality traits: Machine learning approach
doi: 10.1111/anec.12919
Figure Lengend Snippet: Normal heartbeat ECG signal marked with temporal and amplitude‐based features: clinically not relevant (left‐hand panel) and clinically relevant (right‐hand panel) parameters
Article Snippet: Electrocardiogram signals were recorded from standard bipolar Lead I using the
Techniques: