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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...

Measuring the quality of exercises.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This work explores the problem of exercise quality measurement since it is essential for effective management of diseases like cerebral palsy (CP). This work examines the assessment of quality of large amplitude movement (LAM) exercises designed to t...

Validity of an Integrative Method for Processing Physical Activity Data.

Medicine and science in sports and exercise
UNLABELLED: Accurate assessments of both physical activity and sedentary behaviors are crucial to understand the health consequences of movement patterns and to track changes over time and in response to interventions.

Objective Assessment of Physical Activity: Classifiers for Public Health.

Medicine and science in sports and exercise
PURPOSE: Walking for health is recommended by health agencies, partly based on epidemiological studies of self-reported behaviors. Accelerometers are now replacing survey data, but it is not clear that intensity-based cut points reflect the behaviors...

Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

Studies in health technology and informatics
Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence provide improved quality of care at a reduced cost to the community, therefore reducing the burden on the healthcare system. Activity recognition of ...