Biomedical and Health Sciences

Activities of Daily Living


Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Citation Author(s):
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] , "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Dec. 12, 2017.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = { },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
ER -
. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
. (2017). "Activities of Daily Living." Web.
1. . Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
. "Activities of Daily Living." doi: 10.21227/H2PS74

SUT-Lips-DB - A database of lips traces


A database of lips traces
Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.

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Citation Author(s):
Submitted by:
Dariusz Mrozek
Last updated:
Fri, 11/03/2017 - 09:56
DOI:
10.21227/H2R04P
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[1] , "SUT-Lips-DB - A database of lips traces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2R04P. Accessed: Dec. 12, 2017.
@data{h2r04p-17,
doi = {10.21227/H2R04P},
url = {http://dx.doi.org/10.21227/H2R04P},
author = { },
publisher = {IEEE Dataport},
title = {SUT-Lips-DB - A database of lips traces},
year = {2017} }
TY - DATA
T1 - SUT-Lips-DB - A database of lips traces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2R04P
ER -
. (2017). SUT-Lips-DB - A database of lips traces. IEEE Dataport. http://dx.doi.org/10.21227/H2R04P
, 2017. SUT-Lips-DB - A database of lips traces. Available at: http://dx.doi.org/10.21227/H2R04P.
. (2017). "SUT-Lips-DB - A database of lips traces." Web.
1. . SUT-Lips-DB - A database of lips traces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2R04P
. "SUT-Lips-DB - A database of lips traces." doi: 10.21227/H2R04P

Health Timeline Insight-based Dataset


Electronic Health Records and clinical longitudinal data have been visualized in a wide range of applications to assist the understanding of the status and evolution of patients. Few studies have objectively assessed these applications. We utilized the insights-based method to objectively assess the effectiveness of an application that visualizes longitudinal data from the Australian national electronic health record. Five professional psychiatrists took part in the assessment study.

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Dataset Details

Citation Author(s):
Submitted by:
Andres Ledesma
Last updated:
Mon, 10/16/2017 - 07:30
DOI:
10.21227/H2KD14
Data Format:
 
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[1] , "Health Timeline Insight-based Dataset", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2KD14. Accessed: Dec. 12, 2017.
@data{h2kd14-17,
doi = {10.21227/H2KD14},
url = {http://dx.doi.org/10.21227/H2KD14},
author = { },
publisher = {IEEE Dataport},
title = {Health Timeline Insight-based Dataset},
year = {2017} }
TY - DATA
T1 - Health Timeline Insight-based Dataset
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2KD14
ER -
. (2017). Health Timeline Insight-based Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H2KD14
, 2017. Health Timeline Insight-based Dataset. Available at: http://dx.doi.org/10.21227/H2KD14.
. (2017). "Health Timeline Insight-based Dataset." Web.
1. . Health Timeline Insight-based Dataset [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2KD14
. "Health Timeline Insight-based Dataset." doi: 10.21227/H2KD14

Decoding local field potentials for neural interfaces


This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

The DataPort Repository contains the data used primarily for generating Figure 1.

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Citation Author(s):
Submitted by:
Thomas Hall
Last updated:
Thu, 10/12/2017 - 13:48
DOI:
10.21227/H2VW5Z
Data Format:
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[1] , "Decoding local field potentials for neural interfaces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2VW5Z. Accessed: Dec. 12, 2017.
@data{h2vw5z-17,
doi = {10.21227/H2VW5Z},
url = {http://dx.doi.org/10.21227/H2VW5Z},
author = { },
publisher = {IEEE Dataport},
title = {Decoding local field potentials for neural interfaces},
year = {2017} }
TY - DATA
T1 - Decoding local field potentials for neural interfaces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2VW5Z
ER -
. (2017). Decoding local field potentials for neural interfaces. IEEE Dataport. http://dx.doi.org/10.21227/H2VW5Z
, 2017. Decoding local field potentials for neural interfaces. Available at: http://dx.doi.org/10.21227/H2VW5Z.
. (2017). "Decoding local field potentials for neural interfaces." Web.
1. . Decoding local field potentials for neural interfaces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2VW5Z
. "Decoding local field potentials for neural interfaces." doi: 10.21227/H2VW5Z

BHI 2017: Big Data Analytics Competition


Data Science is all about the processes and methods to access and analyze data to gain insights for informed decision making. To promote the awareness and analytic technology of Big Data, IEEE EMBS and the IEEE Big Data Initiative are organizing a Data Analytics Competition. The competition will be held during the International Conference on Biomedical and Health Informatics (IEEE BHI2017), 16-19 February 2017 in Orlando, Florida, and is open to all participants of the conference.


The submission period for this data competition has ended.

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Dataset Details

Citation Author(s):
Submitted by:
Chris Franzino
Last updated:
Tue, 08/08/2017 - 10:52
DOI:
10.21227/H2W886
Data Format:
Links:
 
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[1] , "BHI 2017: Big Data Analytics Competition", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2W886. Accessed: Dec. 12, 2017.
@data{h2w886-16,
doi = {10.21227/H2W886},
url = {http://dx.doi.org/10.21227/H2W886},
author = { },
publisher = {IEEE Dataport},
title = {BHI 2017: Big Data Analytics Competition},
year = {2016} }
TY - DATA
T1 - BHI 2017: Big Data Analytics Competition
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2W886
ER -
. (2016). BHI 2017: Big Data Analytics Competition. IEEE Dataport. http://dx.doi.org/10.21227/H2W886
, 2016. BHI 2017: Big Data Analytics Competition. Available at: http://dx.doi.org/10.21227/H2W886.
. (2016). "BHI 2017: Big Data Analytics Competition." Web.
1. . BHI 2017: Big Data Analytics Competition [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2W886
. "BHI 2017: Big Data Analytics Competition." doi: 10.21227/H2W886

TST Intake Monitoring dataset v2


The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 16:44
DOI:
10.21227/H2BC7W
Data Format:
Links:
 
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[1] , "TST Intake Monitoring dataset v2 ", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2BC7W. Accessed: Dec. 12, 2017.
@data{h2bc7w-16,
doi = {10.21227/H2BC7W},
url = {http://dx.doi.org/10.21227/H2BC7W},
author = { },
publisher = {IEEE Dataport},
title = {TST Intake Monitoring dataset v2 },
year = {2016} }
TY - DATA
T1 - TST Intake Monitoring dataset v2
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2BC7W
ER -
. (2016). TST Intake Monitoring dataset v2 . IEEE Dataport. http://dx.doi.org/10.21227/H2BC7W
, 2016. TST Intake Monitoring dataset v2 . Available at: http://dx.doi.org/10.21227/H2BC7W.
. (2016). "TST Intake Monitoring dataset v2 ." Web.
1. . TST Intake Monitoring dataset v2 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2BC7W
. "TST Intake Monitoring dataset v2 ." doi: 10.21227/H2BC7W

TST Intake Monitoring dataset v1


The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 16:19
DOI:
10.21227/H2G59T
Data Format:
Links:
 
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[1] , "TST Intake Monitoring dataset v1 ", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2G59T. Accessed: Dec. 12, 2017.
@data{h2g59t-16,
doi = {10.21227/H2G59T},
url = {http://dx.doi.org/10.21227/H2G59T},
author = { },
publisher = {IEEE Dataport},
title = {TST Intake Monitoring dataset v1 },
year = {2016} }
TY - DATA
T1 - TST Intake Monitoring dataset v1
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2G59T
ER -
. (2016). TST Intake Monitoring dataset v1 . IEEE Dataport. http://dx.doi.org/10.21227/H2G59T
, 2016. TST Intake Monitoring dataset v1 . Available at: http://dx.doi.org/10.21227/H2G59T.
. (2016). "TST Intake Monitoring dataset v1 ." Web.
1. . TST Intake Monitoring dataset v1 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2G59T
. "TST Intake Monitoring dataset v1 ." doi: 10.21227/H2G59T

TST TUG dataset


The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 15:47
DOI:
10.21227/H2KW2B
Data Format:
Links:
 
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[1] , "TST TUG dataset ", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2KW2B. Accessed: Dec. 12, 2017.
@data{h2kw2b-16,
doi = {10.21227/H2KW2B},
url = {http://dx.doi.org/10.21227/H2KW2B},
author = { },
publisher = {IEEE Dataport},
title = {TST TUG dataset },
year = {2016} }
TY - DATA
T1 - TST TUG dataset
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2KW2B
ER -
. (2016). TST TUG dataset . IEEE Dataport. http://dx.doi.org/10.21227/H2KW2B
, 2016. TST TUG dataset . Available at: http://dx.doi.org/10.21227/H2KW2B.
. (2016). "TST TUG dataset ." Web.
1. . TST TUG dataset [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2KW2B
. "TST TUG dataset ." doi: 10.21227/H2KW2B

TST Fall detection dataset v2


The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the simulation of ADLs and falls.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 15:26
DOI:
10.21227/H2QP48
Data Format:
Links:
 
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[1] , "TST Fall detection dataset v2", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2QP48. Accessed: Dec. 12, 2017.
@data{h2qp48-16,
doi = {10.21227/H2QP48},
url = {http://dx.doi.org/10.21227/H2QP48},
author = { },
publisher = {IEEE Dataport},
title = {TST Fall detection dataset v2},
year = {2016} }
TY - DATA
T1 - TST Fall detection dataset v2
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2QP48
ER -
. (2016). TST Fall detection dataset v2. IEEE Dataport. http://dx.doi.org/10.21227/H2QP48
, 2016. TST Fall detection dataset v2. Available at: http://dx.doi.org/10.21227/H2QP48.
. (2016). "TST Fall detection dataset v2." Web.
1. . TST Fall detection dataset v2 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2QP48
. "TST Fall detection dataset v2." doi: 10.21227/H2QP48

TST Fall detection dataset v1


The dataset contains depth frames collected using Microsoft Kinect v1 in top-view configuration and can be used for fall detection.

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Dataset Details

Citation Author(s):
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 15:00
DOI:
10.21227/H2VC7J
Data Format:
Links:
 
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[1] , "TST Fall detection dataset v1", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2VC7J. Accessed: Dec. 12, 2017.
@data{h2vc7j-16,
doi = {10.21227/H2VC7J},
url = {http://dx.doi.org/10.21227/H2VC7J},
author = { },
publisher = {IEEE Dataport},
title = {TST Fall detection dataset v1},
year = {2016} }
TY - DATA
T1 - TST Fall detection dataset v1
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2VC7J
ER -
. (2016). TST Fall detection dataset v1. IEEE Dataport. http://dx.doi.org/10.21227/H2VC7J
, 2016. TST Fall detection dataset v1. Available at: http://dx.doi.org/10.21227/H2VC7J.
. (2016). "TST Fall detection dataset v1." Web.
1. . TST Fall detection dataset v1 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2VC7J
. "TST Fall detection dataset v1." doi: 10.21227/H2VC7J

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