This paper presents a non-invasive assistive device for people with advanced Multiple Sclerosis (MS) who use electric power wheelchairs (EPW). The proposed system can acquire respiration and heart activity from ballistocardiogram (BCG), seat and back pressure distribution, wheelchair tilt angle and ambient temperature and relative humidity. The sensors collect information related to the main issues of MS patients: fatigue, heat sensitivity and low mobility. Preliminary results show the signals as the wheelchair is moving, stopped and tilting. The system is able to capture sufficient relevant information to provide suggestions and alarms in a future stage. The system will be tested at The Boston Home, a specialized residence for adults with advanced MS.