feature extraction

Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization

Author(s): Taranjit Kaur, Tapan K. Gandhi, Bijaya K. Panigrahi
Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Timely and precise identification of COVID-19 is an arduous task owing to the scarcity and inefficiency of the medical test kits. This has resulted in medical professionals turning towards…

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Detecting Cataract Using Smartphones

Author(s): Behnam Askarian, Peter Ho, Jo Woon Chong
Detecting Cataract Using Smartphones 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive…

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Identifying hand use and hand roles after stroke using egocentric video

Author(s): Meng-Fen Tsai, Rosalie H. Wang, José Zariffa
Identifying hand use and hand roles after stroke using egocentric video 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Upper limb (UL) impairment impacts quality of life, but is common after stroke. UL function evaluated in the clinic may not reflect use in activities of daily living (ADLs)…

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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Author(s): Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chenb
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) signal plays a critical role in early prevention and diagnosis of cardiovascular diseases. In the previous studies on automatic arrhythmia detection, most methods…

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A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data

Author(s): Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, Salem A. Alyami, Mattew A. Summers, Valsamma Eapen
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in combination with deep learning computational methods has received much attention in recent years. However, to date, deep learning techniques in seizure detection…

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LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control

Author(s): Arvind Gautam, Madhuri Panwar, Archana Wankhede, Sridhar Arjunan, Ganesh Naik, Amit Charyya, Dinesh Kumar
LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we…

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Accurate Fiducial Point Detection Using Haar Wavelet for Beat-by-Beat Blood Pressure Estimation

Author(s): Muskan Singla, Syed Azeemuddin, Prasad Sistla
Accurate Fiducial Point Detection Using Haar Wavelet for Beat-by-Beat Blood Pressure Estimation 817 745 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Pulse Arrival Time (PAT) derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) for cuff-less Blood Pressure (BP) measurement has been a contemporary and widely accepted technique. However, the features extracted for…

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Non-contact Early Warning of Shaking Palsy

Non-contact Early Warning of Shaking Palsy

Author(s): 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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Use of Accelerometry for Long Term Monitoring of Stroke

Use of Accelerometry for Long Term Monitoring of Stroke Patients

Author(s): 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.…

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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): 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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