Example of IEEE Journal of Translational Engineering in Health and Medicine format
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Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format
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Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format Example of IEEE Journal of Translational Engineering in Health and Medicine format
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open access Open Access

IEEE Journal of Translational Engineering in Health and Medicine — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Biomedical Engineering #74 of 229 down down by 1 rank
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 201 Published Papers | 1047 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 04/07/2020
Related journals
Insights
General info
Top papers
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FAQ

Related Journals

open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 10.2
SJR: 1.176
SNIP: 1.188
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 6.1
SJR: 0.64
SNIP: 1.257
open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 7.7
SJR: 1.053
SNIP: 1.746

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

5.2

27% from 2019

CiteRatio for IEEE Journal of Translational Engineering in Health and Medicine from 2016 - 2020
Year Value
2020 5.2
2019 4.1
2018 3.4
2017 3.7
2016 2.6
graph view Graph view
table view Table view

0.653

16% from 2019

SJR for IEEE Journal of Translational Engineering in Health and Medicine from 2016 - 2020
Year Value
2020 0.653
2019 0.563
2018 0.63
2017 0.479
2016 0.506
graph view Graph view
table view Table view

1.213

11% from 2019

SNIP for IEEE Journal of Translational Engineering in Health and Medicine from 2016 - 2020
Year Value
2020 1.213
2019 1.357
2018 1.317
2017 1.267
2016 1.705
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 27% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 16% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 11% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Journal of Translational Engineering in Health and Medicine

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IEEE

IEEE Journal of Translational Engineering in Health and Medicine

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Journal of Translational Engineering in Health and Medicine formatting guidelines as mentioned in IEEE author instructions. The current version was created on 04 Jul 2020 and has been used by 392 authors to write and format their manuscripts to this journal.

Medicine

i
Last updated on
04 Jul 2020
i
ISSN
2168-2372
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/JTEHM.2013.2289879
Eye Tracking and Head Movement Detection: A State-of-Art Survey
Amer Al-Rahayfeh1, Miad Faezipour1

Abstract:

Eye-gaze detection and tracking have been an active research field in the past years as it adds convenience to a variety of applications. It is considered a significant untraditional method of human computer interaction. Head movement detection has also received researchers' attention and interest as it has been found to be a... Eye-gaze detection and tracking have been an active research field in the past years as it adds convenience to a variety of applications. It is considered a significant untraditional method of human computer interaction. Head movement detection has also received researchers' attention and interest as it has been found to be a simple and effective interaction method. Both technologies are considered the easiest alternative interface methods. They serve a wide range of severely disabled people who are left with minimal motor abilities. For both eye tracking and head movement detection, several different approaches have been proposed and used to implement different algorithms for these technologies. Despite the amount of research done on both technologies, researchers are still trying to find robust methods to use effectively in various applications. This paper presents a state-of-art survey for eye tracking and head movement detection methods proposed in the literature. Examples of different fields of applications for both technologies, such as human-computer interaction, driving assistance systems, and assistive technologies are also investigated. read more read less

Topics:

Eye tracking on the ISS (61%)61% related to the paper, Eye tracking (59%)59% related to the paper
View PDF
225 Citations
open accessOpen access Journal Article DOI: 10.1109/JTEHM.2015.2419612
Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention
Omar Abuzaghleh1, Buket D. Barkana1, Miad Faezipour1

Abstract:

Melanoma spreads through metastasis, and therefore, it has been proved to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown that the survival rates in patients depend on the stage of the cancer; early detection... Melanoma spreads through metastasis, and therefore, it has been proved to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown that the survival rates in patients depend on the stage of the cancer; early detection and intervention of melanoma implicate higher chances of cure. Clinical diagnosis and prognosis of melanoma are challenging, since the processes are prone to misdiagnosis and inaccuracies due to doctors’ subjectivity. Malignant melanomas are asymmetrical, have irregular borders, notched edges, and color variations, so analyzing the shape, color, and texture of the skin lesion is important for the early detection and prevention of melanoma. This paper proposes the two major components of a noninvasive real-time automated skin lesion analysis system for the early detection and prevention of melanoma. The first component is a real-time alert to help users prevent skinburn caused by sunlight; a novel equation to compute the time for skin to burn is thereby introduced. The second component is an automated image analysis module, which contains image acquisition, hair detection and exclusion, lesion segmentation, feature extraction, and classification. The proposed system uses PH2 Dermoscopy image database from Pedro Hispano Hospital for the development and testing purposes. The image database contains a total of 200 dermoscopy images of lesions, including benign, atypical, and melanoma cases. The experimental results show that the proposed system is efficient, achieving classification of the benign, atypical, and melanoma images with accuracy of 96.3%, 95.7%, and 97.5%, respectively. read more read less

Topics:

Skin cancer (54%)54% related to the paper
157 Citations
open accessOpen access Journal Article DOI: 10.1109/JTEHM.2014.2365776
Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar
Yee Siong Lee1, Pubudu N. Pathirana1, Christopher Louis Steinfort2, Terry Caelli1

Abstract:

Noncontact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations, such as physical sensor attachment or special clothing, which can be useful for certain healthcare applications. Furthermore, robustness of Doppler radar against envi... Noncontact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations, such as physical sensor attachment or special clothing, which can be useful for certain healthcare applications. Furthermore, robustness of Doppler radar against environmental factors, such as light, ambient temperature, interference from other signals occupying the same bandwidth, fading effects, reduce environmental constraints and strengthens the possibility of employing Doppler radar in long-term respiration detection, and monitoring applications such as sleep studies. This paper presents an evaluation in the of use of microwave Doppler radar for capturing different dynamics of breathing patterns in addition to the respiration rate. Although finding the respiration rate is essential, identifying abnormal breathing patterns in real-time could be used to gain further insights into respiratory disorders and refine diagnostic procedures. Several known breathing disorders were professionally role played and captured in a real-time laboratory environment using a noncontact Doppler radar to evaluate the feasibility of this noncontact form of measurement in capturing breathing patterns under different conditions associated with certain breathing disorders. In addition to that, inhalation and exhalation flow patterns under different breathing scenarios were investigated to further support the feasibility of Doppler radar to accurately estimate the tidal volume. The results obtained for both experiments were compared with the gold standard measurement schemes, such as respiration belt and spirometry readings, yielding significant correlations with the Doppler radar-based information. In summary, Doppler radar is highlighted as an alternative approach not only for determining respiration rates, but also for identifying breathing patterns and tidal volumes as a preferred nonwearable alternative to the conventional contact sensing methods. read more read less

Topics:

Doppler radar (66%)66% related to the paper
130 Citations
open accessOpen access Journal Article DOI: 10.1109/JTEHM.2018.2822681
An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

Abstract:

Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comfort is one of the key issue... Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comfort is one of the key issues which should be addressed for wearable devices. The SWA was developed by integrating a low-power and tiny-sized IoT sensing device with textile electrodes, which can measure, pre-process, and wirelessly transmit bio-potential signals. By evenly distributing surface electrodes over user’s forearm, drawbacks of classification accuracy poor performance can be mitigated. A new method was put forward to find the optimal feature set. ML algorithms were leveraged to analyze and discriminate features of different hand movements, and their performances were appraised by classification complexity estimating algorithms and principal components analysis. According to the verification results, all nine gestures can be successfully identified with an average accuracy up to 96.20%. In addition, a 3-D printed five-finger robot hand was implemented for hand rehabilitation training purpose. Correspondingly, user’s hand movement intentions were extracted and converted into a series of commands which were used to drive motors assembled inside the dexterous robot hand. As a result, the dexterous robot hand can mimic the user’s gesture in a real-time manner, which shows the proposed system can be used as a training tool to facilitate rehabilitation process for the patients after stroke. read more read less

Topics:

Wearable computer (53%)53% related to the paper, Wearable technology (53%)53% related to the paper
120 Citations
open accessOpen access Journal Article DOI: 10.1109/JTEHM.2016.2601613
Summary of Human Ankle Mechanical Impedance During Walking
Hyunglae Lee1, Elliott J. Rouse2, Hermano Igo Krebs3

Abstract:

The human ankle joint plays a critical role during walking and understanding the biomechanical factors that govern ankle behavior and provides fundamental insight into normal and pathologically altered gait. Previous researchers have comprehensively studied ankle joint kinetics and kinematics during many biomechanical tasks, ... The human ankle joint plays a critical role during walking and understanding the biomechanical factors that govern ankle behavior and provides fundamental insight into normal and pathologically altered gait. Previous researchers have comprehensively studied ankle joint kinetics and kinematics during many biomechanical tasks, including locomotion; however, only recently have researchers been able to quantify how the mechanical impedance of the ankle varies during walking. The mechanical impedance describes the dynamic relationship between the joint position and the joint torque during perturbation, and is often represented in terms of stiffness, damping, and inertia. The purpose of this short communication is to unify the results of the first two studies measuring ankle mechanical impedance in the sagittal plane during walking, where each study investigated differing regions of the gait cycle. Rouse et al. measured ankle impedance from late loading response to terminal stance, where Lee et al. quantified ankle impedance from pre-swing to early loading response. While stiffness component of impedance increases significantly as the stance phase of walking progressed, the change in damping during the gait cycle is much less than the changes observed in stiffness. In addition, both stiffness and damping remained low during the swing phase of walking. Future work will focus on quantifying impedance during the “push off” region of stance phase, as well as measurement of these properties in the coronal plane. read more read less

Topics:

Ankle (58%)58% related to the paper, Mechanical impedance (57%)57% related to the paper
116 Citations
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IEEE Journal of Translational Engineering in Health and Medicine format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Journal of Translational Engineering in Health and Medicine in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Journal of Translational Engineering in Health and Medicine guidelines and auto format it.

2. Do you follow the IEEE Journal of Translational Engineering in Health and Medicine guidelines?

Yes, the template is compliant with the IEEE Journal of Translational Engineering in Health and Medicine guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Journal of Translational Engineering in Health and Medicine?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Journal of Translational Engineering in Health and Medicine citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Journal of Translational Engineering in Health and Medicine.

5. Can I use a manuscript in IEEE Journal of Translational Engineering in Health and Medicine that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Journal of Translational Engineering in Health and Medicine that you can download at the end.

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It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Journal of Translational Engineering in Health and Medicine.

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's IEEE Journal of Translational Engineering in Health and Medicine is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in IEEE Journal of Translational Engineering in Health and Medicine, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Journal of Translational Engineering in Health and Medicine's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Journal of Translational Engineering in Health and Medicine?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Journal of Translational Engineering in Health and Medicine. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Journal of Translational Engineering in Health and Medicine?

The 5 most common citation types in order of usage for IEEE Journal of Translational Engineering in Health and Medicine are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Journal of Translational Engineering in Health and Medicine?

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16. Can I download IEEE Journal of Translational Engineering in Health and Medicine in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Journal of Translational Engineering in Health and Medicine Endnote style according to Elsevier guidelines.

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