If you are using sweat-related data, please cite:
If you are using bioimpedance-related data, please cite:
If you are using saliva-related data, please cite:
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Introduction
Quantitative estimation of dehydration (total body water loss) using bioimpedance measurements, temperature measurements, salivary samples, and sweat samples.
Data Collection
The task is to estimate total body water (TBW) loss using bioimpedance measurements, temperature measurements, salivary samples, and sweat samples. TBW loss was induced by 120 minutes of physical exercise without fluid intake. Physical exercise consisted of running on an indoor treadmill and was partitioned into 8 intervals of 15 minutes. Every 15-minute running interval was followed by an 8-minute resting break in which bioimpedance, temperature, sweat, and saliva were collected / measured. TBW loss was assumed to be equal to the change in body weight, which was measured using a high-precision scale (+- 5 g accuracy).
Files
The subject data and measurements are contained in the dehydration_estimation.csv
file. The attributes in the data set are:
- subject id (10 subjects in total)
- subject age [years]
- subject height [cm]
- running speed on treadmill [km/h]
- running interval (8 running intervals in total, 0 denotes baseline measurements before the first interval, 1 denotes measurements after the first running interval, 2 denotes measurements after the second running interval, ...)
- body weight measured using Kern DE 150K2D [kg] (difference in body weight is assumed to be equal to total body water loss)
- body weight measured using InBody 720 [kg]
- total body water estimated using InBody 720 [l]
- bioimpedance of right arm at 1000kHz [Ohm]
- bioimpedance of left arm at 1000kHz [Ohm]
- bioimpedance of trunk at 1000kHz [Ohm]
- bioimpedance of right leg at 1000kHz [Ohm]
- bioimpedance of left leg at 1000kHz [Ohm]
- temperature ear [degree C]
- temperature left hand [degree C]
- temperature right hand [degree C]
- temperature left foot [degree C]
- temperature right foot [degree C]
- temperature chest [degree C]
- temperature back [degree C]
- temperature upper arm [degree C]
- temperature lower arm [degree C]
- temperature upper leg [degree C]
- temperature lower leg [degree C]
- sweat chloride [mmol/l]
- sweat osmolality [mmol/kg]
- salivary amylase [units/l]
- salivary chloride [mmol/l]
- salivary cortisol [ng/ml]
- salivary cortisone [ng/ml]
- salivary osmolality [mmol/kg]
- salivary potassium [mmol/l]
- salivary protein concentration [mg/l]
Contact
Matthias Ring or Bjoern M. Eskofier
Machine Learning and Data Analytics Lab
Department of Computer Science
Friedrich-Alexander University Erlangen-Nuremberg
Germany
Additional References
Ring, M., Lohmueller, C., Rauh, M., and Eskofier, B. M. (2014). A two-stage regression using bioimpedance and temperature for hydration assessment during sports. In: Proceedings of the 22nd International Conference on Pattern Recognition. Stockholm, Sweden, pp. 4519-4524.
Name Last modified Size Description
Parent Directory -
dehydration_estimation.csv 2017-07-19 13:43 14K
SHA256SUMS 2018-08-30 16:37 242
SHA1SUMS 2018-08-30 16:37 170
MD5SUMS 2018-08-30 16:37 146
DOI 2018-08-29 16:12 19
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PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.
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