feature extraction

Use of Accelerometry for Long Term Monitoring of Stroke

Use of Accelerometry for Long Term Monitoring of Stroke Patients
Author(s)3: Alfredo Lucas, John Hermiz, Jamie LaBuzetta, Yevgeniy Arabadzhi, Navaz Karanjia, Vikash Gilja
Use of Accelerometry for Long Term Monitoring of Stroke Patients 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

      Abstract Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e.…

read more
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…

read more
An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data

An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data
Author(s)3: Mohsen Nabian, Yu Yin, Jolie Wormwood, Karen S. Quigley, Lisa F. Barrett, Sarah Ostadabba
An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data 780 245 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

      Electrocardiogram, electrodermal activity, electromyogram, continuous blood pressure, and impedance cardiography are among the most commonly used peripheral physiological signals (biosignals) in psychological studies and healthcare applications, including health tracking,…

read more
Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System

Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System
Author(s)3: Si Mon Kueh, Tom J. Kazmierski
Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System 780 547 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

  This paper presents results of using a simple bit-serial architecture as a method of designing an extremely low-power and low-cost neural network processor for epilepsy seizure prediction. The proposed…

read more
Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest

Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest
Author(s)3: Adam Rao, Simon Chu, Neil Batlivala, Samuel Zetumer, Shuvo Roy
Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest 780 328 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     Accumulation of excess air and water in the lungs leads to breakdown of respiratory function and is a common cause of patient hospitalization. Compact and non-invasive methods to detect…

read more
CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video

CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video
Author(s)3: Tonmoy Ghosh, Shaikh Anowarul Fattah, Khanh A. Wahid
CHOBS: Color Histogram of Block Statistics for Automatic Bleeding Detection in Wireless Capsule Endoscopy Video 776 621 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

   Wireless capsule endoscopy (WCE) is the most advanced technology to visualize whole gastrointestinal (GI) tract in a non-invasive way. But the major disadvantage here, it takes long reviewing time,…

read more
A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification

A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification
Author(s)3: Hamza Baali, Aida Khorshidtalab, Mostefa Mesbah, Momoh J. E. Salami
A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification 780 436 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain–computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as…

read more
  • 1
  • 2
Search this website