Data processing.

Data processing.

<p>This figure shows how the data is first collected either directly from the patient or from a healthcare worker. Features are extracted from the data to reduce the dimensionality for input into a machine learning model. The raw signal can also be directly inputted into a neural network for a...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jay Chandra (19703931) (author)
مؤلفون آخرون:	Raymond Lin (280383) (author), Devin Kancherla (19703934) (author), Sophia Scott (19703937) (author), Daniel Sul (19703940) (author), Daniela Andrade (19703943) (author), Sammer Marzouk (3332910) (author), Jay M. Iyer (19703946) (author), William Wasswa (19703949) (author), Cleva Villanueva (16827869) (author), Leo Anthony Celi (7347551) (author)
منشور في:	2024
الموضوعات:	Medicine Biotechnology Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified ultimate goal would medical fields spanning inertial measurement units imus ), microphones community healthcare setting relatively low resolution recordings </ p disease using analysis data analysis techniques cost diagnostic tools xlink "> substantial work still need resource areas recent years physical measurements physical manifestations particularly useful noise ratio many low increased availability identify disease etc ., data storage cost diagnostics convenient screening computing power algorithmic bias &# 8220
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

The Diagnostic Toolkit.
حسب: Jay Chandra (19703931)
منشور في: (2024)

A Comprehensive IMU Dataset for Evaluating Sensor Layouts in Human Activity and Intensity Recognition
حسب: Mingfei Feng (22300156)
منشور في: (2025)

Aeroacoustic measurements of SmartTip (FFA W3 211)
حسب: Oliver Ackermann Lylloff (6218804)
منشور في: (2024)

Remote microphones language disorder (Gordon et al., 2025)
حسب: Katherine R. Gordon (11525680)
منشور في: (2025)

Accuracy of smartphone recordings (Barsties v. Latoszek et al., 2025)
حسب: Ben Barsties v. Latoszek (5017805)
منشور في: (2025)

Two-tone suppression between the ultrasounds above and within the hearing range in mice
حسب: Fumiaki Nin (4235488)
منشور في: (2025)

Static pose performed during the calibration process from (A) frontal view and (B) lateral view, where PX corresponds to processus xiphoideus, JUG the incisura jugularis, ACR the acromion, ELB the middle point between the two epicondyles, WSTr the radial styloid, WSTu the ulnar styloid and MCP the 3rd metacarpal.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Interview setting
حسب: Lorena Toro-Mayorga (20804336)
منشور في: (2025)

Data Sheet 1_Clinic vs. daily life gait characteristics in patients with spinocerebellar ataxia.pdf
حسب: Vrutangkumar V. Shah (13441582)
منشور في: (2025)

Measures of agreement (XCORR) and disagreement (RMSD) between the OMC and each calibration method (IMU-AA, IMU-FA, IMU-AD and IMU-PIC) analyzed, median (interquartile range) of the dominant hand.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Definition of the body segment coordinate systems for the right side with the data obtained from the the pictures, where PX corresponds to processus xiphoideus, JUG the incisura jugularis, ACR the acromion, ELB the middle point between the two epicondyle, WSTr the radial styloid, WST the middle point between WSTr and WSTu and MCP the 3rd metacarpal.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Comparison of Z-axis elbow angles trajectories between the reference (OMC) and the IMU-based system calibrated with the four calibration methods (IMU-AA, IMU-FA, IMU-AD and IMU-PIC) when drawing, drinking, moving an object and unlocking a locker.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

The variation RMSD between the analyzed calibration methods (IMU-AA, IMU-FA, IMU-AD and IMU-PIC) and the corresponding OMC value for each subject across different tasks. Red ‘+’ symbols indicate outliers.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Boxplots represent the variation in angle values (<i>Δ</i>) between the analyzed calibration methods (IMU-AA, IMU-FA and IMU-PIC) and the corresponding OMC value, for each subject across different tasks.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

The retroreflective markers and inertial measurements units’ placement sites.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Body segment orientation (A).
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Drawing path: Trajectory that subjects had to follow used in the task ‘Drawing’.
حسب: Alessandra Favata (22493279)
منشور في: (2025)

Additional file 1 of Impact of microphone and receiver-in-the ear hearing aid technology on localization ability in hearing aid users
حسب: M C Chaithra (22778999)
منشور في: (2025)

NONAN GaitPrint: An IMU gait database of healthy middle-aged adults
حسب: Tyler Wiles (14517830)
منشور في: (2025)

NONAN GaitPrint: An IMU gait database of healthy older adults
حسب: Tyler Wiles (14517830)
منشور في: (2025)

Systematic search and review process, conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement criteria.
حسب: Kátia Marie Senna (21807594)
منشور في: (2025)

Process of multimethod data collection and analysis.
حسب: Nicola Irvine (591917)
منشور في: (2025)

Images of device assembly process.
حسب: Thomas Carvell (16266821)
منشور في: (2025)

Comparison of fault diagnosis performance of various methods under different signal-to-Noise ratio conditions on CWRU dataset.
حسب: Weilin Cao (10122932)
منشور في: (2025)

Details of the MFPT dataset used in this study.
حسب: Weilin Cao (10122932)
منشور في: (2025)

Details of the CWRU dataset used in this study.
حسب: Weilin Cao (10122932)
منشور في: (2025)

Detailed architecture and parameter configuration of the proposed model.
حسب: Weilin Cao (10122932)
منشور في: (2025)

Impact of DIDAM and NALF on the fault diagnosis performance of the proposed model on the CWRU dataset.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The t-SNE visualization of feature distributions of different models on the CWRU test set under SNR = –8 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The comparison of confusion matrices of different models on the CWRU test set under SNR = –8 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The t-SNE visualization of feature distribution under different SNR conditions on the test dataset of MFPT. (a) 0 dB; (b) –2 dB; (c) –4 dB; (d) –6 dB; (e) –8 dB; (f) –10 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The confusion matrix of the proposed model under different SNR conditions on the test dataset of MFPT. (a) 0 dB; (b) –2 dB; (c) –4 dB; (d) –6 dB; (e) –8 dB; (f) –10 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The t-SNE visualization of feature distribution under different SNR conditions on the test dataset of CWRU. (a) –2 dB; (b) –4 dB; (c) –6 dB; (d) –8 dB; (e) –10 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The confusion matrix of the proposed model under different SNR conditions on the test dataset of CWRU. (a) –2 dB; (b) –4 dB; (c) –6 dB; (d) –8 dB; (e) –10 dB.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The fault diagnosis performance of the proposed model under different SNR conditions on the test datasets of CWRU and MFPT. (a) CWRU dataset; (b) MFPT dataset.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The schematic diagram of the spatial attention module in Dynamic Inter-Domain Attention Mechanism (DIDAM).
حسب: Weilin Cao (10122932)
منشور في: (2025)

The schematic diagram of the channel attention module in Dynamic Inter-Domain Attention Mechanism (DIDAM).
حسب: Weilin Cao (10122932)
منشور في: (2025)

The overall framework of the proposed multi-domain collaborative denoising bearing fault diagnosis model.
حسب: Weilin Cao (10122932)
منشور في: (2025)

The overall framework of the Squeeze-and-Excitation Attention Mechanism.
حسب: Weilin Cao (10122932)
منشور في: (2025)

Parameter data considered in the model.
حسب: Kátia Marie Senna (21807594)
منشور في: (2025)

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