Resources

The dataset is composed of long-lasting surface electromyographic (sEMG) signals recorded from ten muscles during ground walking of 31 young able-bodied subjects in Movement Analysis Lab, Università Politecnica delle Marche, Ancona, Italy.

The dataset is composed of long-lasting surface electromyographic (sEMG) signals recorded from ten muscles during ground walking of 31 young able-bodied subjects in Movement Analysis Lab, Università Politecnica delle Marche, Ancona, Italy.

Labeled raw accelerometry data collected during outdoor walking, stair climbing, and driving for 32 healthy adults. Data were collected simultaneously at four body locations: left wrist, left hip, both ankles.

Labeled raw accelerometry data collected during outdoor walking, stair climbing, and driving for 32 healthy adults. Data were collected simultaneously at four body locations: left wrist, left hip, both ankles.

Dataset to support comparison of usability and accuracy from simultaneous measurements collected from 13 subjects including five devices: NeXus-10 MKII, eMotion Faros 360°, Hexoskin Hx1, SOMNOTouch NIBP, Polar RS800 Multi.

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

A data collection contains a wearable-based electrocardiogram and triaxial acceleration signals of 80 elderly patients with frailty after an open-heart surgery. The signals were collected while the patients were performing a series of exercise tests.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.