AIMC Topic: Exercise

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An Optimal Method of Training the Specific Lower Limb Muscle Group Using an Exoskeletal Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper suggests a novel method of strengthening specific muscle groups in the lower limb during a functional movement. When the foot of an user wearing an exoskeletal robot follows a given path, the contribution of each muscle group to generate t...

Robotic gaming prototype for upper limb exercise: Effects of age and embodiment on user preferences and movement.

Restorative neurology and neuroscience
BACKGROUND: Effective human-robot interactions in rehabilitation necessitates an understanding of how these should be tailored to the needs of the human. We report on a robotic system developed as a partner on a 3-D everyday task, using a gamified ap...

Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients.

Circulation. Heart failure
BACKGROUND: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of ...

Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise.

IEEE journal of biomedical and health informatics
Salivary markers have been proposed as noninvasive and easy-to-collect indicators of dehydrations during physical exercise. It has been demonstrated that threshold-based classifications can distinguish dehydrated from euhydrated subjects. However, co...

The need to approximate the use-case in clinical machine learning.

GigaScience
The availability of smartphone and wearable sensor technology is leading to a rapid accumulation of human subject data, and machine learning is emerging as a technique to map those data into clinical predictions. As machine learning algorithms are in...

Design of Rehabilitation Treatment Coach Robot.

Studies in health technology and informatics
In the rehabilitation treatment for at-home patients, it is not only costly for a patient to hire a professional therapist or personal trainer, but also time consuming for a therapist or trainer to visit all the patients. To improve the situation, we...

Care Robot ZORA in Dutch Nursing Homes; An Evaluation Study.

Studies in health technology and informatics
From May 2016 - November 2016 the use of the ZORA robot was investigated in 15 long-term care facilities for older people. The ZORA robot is built as a social robot and used for pleasure and entertainment or to stimulate physical activities of the re...

Applying neural network to VO2 estimation using 6-axis motion sensing data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper focuses on oxygen consumption (VO2) estimation using 6-axis motion data (3-axis acceleration and 3-axis angular velocity) that are obtained from small motion sensors attached to people playing sports with different intensities. In order to...

VO2 estimation using 6-axis motion sensor with sports activity classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calc...

Activity recognition in patients with lower limb impairments: do we need training data from each patient?

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategie...