Legged locomotion

A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography
A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered… read more

Using Inertial Measurement Unit Sensor Single Axis Rotation Angles for Knee and Hip Flexion Angle Calculations During Gait
Using Inertial Measurement Unit Sensor Single Axis Rotation Angles for Knee and Hip Flexion Angle Calculations During Gait 1884 2560 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Background: Hip and knee flexion joint motions are frequently examined in clinical practice using camera based motion capture (CBMC) systems; however, these systems require elaborate setups and dedicated space. Inertial… read more

Development of a Smart Hallway for Markerless Human Foot Tracking and Stride Analysis
Author(s)3: Vinod Gutta, Pascal Fallavollita, Natalie Baddour, Edward D Lemaire
Development of a Smart Hallway for Markerless Human Foot Tracking and Stride Analysis 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: In this research, a marker-less ‘smart hallway’ is proposed where stride parameters are computed as a person walks through an institutional hallway. Stride analysis is a viable tool for…

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Rapid Screening of Physiological Changes Associated with COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
Author(s)3: Luca Lonini, Nicholas Shawen, Olivia Botonis, Michael Fanton, Chadrasekaran Jayaraman, Chaithanya Krishna Mummidisetty, Sung Yul Shin, Claire Rushin, Sophia Jenz, Shuai Xu, John A. Rogers, Arun Jayaraman
Rapid Screening of Physiological Changes Associated with COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Controlling the spread of the COVID-19 pandemic largely depends on scaling up the testing infrastructure for identifying infected individuals. Consumer-grade wearables may present a solution to detect the presence…

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Non-contact Early Warning of Shaking Palsy

Non-contact Early Warning of Shaking Palsy
Author(s)3: Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Daniyal Haider, Muhammad Bilal Khan, Jie Tian
Non-contact Early Warning of Shaking Palsy 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Abstract Objective: Parkinsonian gait is a defining feature of Shaking Palsy (SP) and it has one of the worse impact on human healthy life than other SP symptoms. The…

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Fracture healing monitoring by impact tests

Fracture Healing Monitoring by Impact Tests: Single Case Study of a Fractured Tibia with External Fixator
Author(s)3: Lorenza Mattei, Francesca Di Puccio, Stefano Marchetti
Fracture Healing Monitoring by Impact Tests: Single Case Study of a Fractured Tibia with External Fixator 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

   Abstract: The correct evaluation of the healing process is important to define proper times of fixator dynamization and removal, avoiding refractures. Unfortunately, a quantitative healing assessment is not yet…

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Identification of Developmental Delay in Infants using Wearable

Identification of Developmental Delay in Infants using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis
Author(s)3: Mohammad Saeed Abrishami, Luciano Nocera, Melissa Mert, Ivan A. Trujillo-Priego, Sanjay Purushotham, Cyrus Shahabi, Beth A. Smith
Identification of Developmental Delay in Infants using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

       Abstract This paper examines how features extracted from full-day data recorded by wearable sensors are able to differentiate between infants with typical development and those with or at risk…

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