Case Studies

Abstract

MICHELANGELO addresses a specific category of patients i.e. the autistic children; the aim is to use ICT to promote and facilitate the assessment of autism within the home setting, away from the traditional clinical environments and to provide personalized "home-based" intervention strategies. This is achieved through the provision of cost-effective, patient-centric home-based intervention remotely controlled by the therapist (remote rehabilitation). The proposed method aims at enhancing the effectiveness of the treatment through its "intensiveness" and "personalization" matching the individual characteristics of autistic children and the involvement of the parents in their "natural" home environment in the role of "co-therapists". Both projects offer interesting inputs on how Information and Communication

Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors

“…This algorithm outperformed other algorithms (Linear regression, REPTree, Multilayer perceptron) in our previous research on EE estimation [23]. All sensor evaluations were performed using the leave-one-person-out cross-validation.…”

Mining Telemonitoring Data from Congestive-heart-failure Patients

“…During the study, the patients were wearing vital-signs monitoring equipment [5] for several hours each day. The equipment consisted of an ECG device, two accelerometers places on the chest and thigh, a body-temperature and a humidity sensor.…”

“…The ECG signal was already processed with the Falcon algorithm [5], producing an output where each heart beat is described with an 11-tuple. Because the tuples were not explicitly separated and some of them are incomplete, it was important to distinguish between them in order to extract the specified parameters.…”

“…The Chiron patients were equipped with a wearable ECG, activity, body-temperature, sweating and sensors. In addition, their blood pressure, blood oxygen saturation, weight, and ambient temperature and humidity were measured [5]. The data gathered this way was fed into a decision-support system, whose objective was to estimate the health risk of the patients [6].…”