Ingraham, Kimberly Ferris, Daniel P. David Remy, C. Predicting energy cost from wearable sensors: A dataset of energetic and physiological wearable sensor data from healthy individuals performing multiple physical activities <div>This dataset presents energetic and wearable physiological sensor data from ten healthy subjects performing six physical activities.<br></div><div>The activities tested were: walking, incline walking, backwards walking, and running on a treadmill, cycling on a stationary bike, and stair climbing on a stairmill -- all at a variety of speeds and/or intensities (21 total conditions). </div><div>The following physiological signals were collected from wearable sensors while subjects performed all the activities: </div><div>- Oxygen consumption and carbon dioxide production</div><div>- Respiratory exchange ratio</div><div>- Breath frequency</div><div>- Minute ventilation </div><div>- Oxygen saturation (SpO<sub>2</sub>)</div><div>- Heart rate</div><div>- Electrodermal activity</div><div>- Skin temperature </div><div>- Accelerations, angular velocity, and magnetic field measured from left/right wrist, left/right ankle, left/right foot, pelvis, and chest (IMUs)</div><div>- Surface EMG from left/right gluteus maximus, rectus femoris, vastus lateralis, semitendinosis, biceps femoris, medial gastrocnemius, soleus, tibialis anterior</div><div><br></div><div>The data are contained in ten (10) Matlab .mat files (one for each subject). For a complete description of the file structure please see the file: CompleteDataDescription_Ingraham_Ferris_Remy_2018</div><div><br></div><div>For a complete description of experimental methods please see the published article: </div><div>Ingraham, Kimberly A., Daniel P. Ferris, and C. David Remy. "Evaluating Physiological Signal Salience for Estimating Metabolic Energy Cost from Wearable Sensors." <i>Journal of Applied Physiology</i> (2019). DOI: 10.1152/japplphysiol.00714.2018<br></div><div><br></div><div>Edit history: Version 4 is the most current version (as of 3/12/2019). The only changes made between versions were updates to the CompleteDataDescription.pdf file for completeness. <br></div><div><br></div><div>Please direct any correspondence to: Kimberly Ingraham (kaingr@umich.edu)<br></div><div><br></div><div><br></div><div><br></div> exercise;energetics;energy cost;metabolic cost;metabolics;biomechanics;locomotion;sensors;walking;incline;backwards walking;running;cycling;stair climbing;treadmill;healthy;prostheses;exoskeletons;physical activity;body-in-the-loop optimization;human-in-the-loop optimization;heart rate;EMG;accelerometers;IMUs;electrodermal activity;galvanic skin response;skin temperature;oxygen saturation;wearable sensors;physiology;Biomechanical Engineering;Physiology;Rehabilitation Engineering;Biomechanics 2019-03-12
    https://figshare.com/articles/dataset/Predicting_energy_cost_from_wearable_sensors_A_dataset_of_energetic_and_physiological_wearable_sensor_data_from_healthy_individuals_performing_multiple_physical_activities/7473191
10.6084/m9.figshare.7473191.v4