Browsing by Author "Postolache, Gabriela"
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- Gait Rehabilitation MonitorPublication . Leite, Paulo; Postolache, Octavian; Pereira, José Miguel Costa Dias; Postolache, GabrielaThis paper presents a simple wearable, non-intrusive affordable mobile framework that allows remote patient monitoring during gait rehabilitation by doctors and physiotherapists. The system includes a set of 2 Shimmer3 9DoF Inertial Measurement Units (IMUs), an Android smartphone and a developed app for collecting, primary processing of data and for persistence of data in a remote PostgreSQL database, which is available in a remote server and where further data processing is performed. This framework provides gait features classifier by invoking an implemented REST API available in the remote server. Low computational load algorithms based on Euler angles and filtered signals were developed and used for the classification and identification of several gait disturbances. These algorithms include the alignment of IMUs sensors data by means of a common temporal reference as well as heel strike and stride detection algorithms. After segmentation of the remotely collected signals for gait strides identification relevant features were extracted to feed, train and test a classifier for prediction of gait abnormalities using supervised machine learning type and Extremely Randomized Trees method.
- IoT based model of healthcare for physiotherapyPublication . Postolache, Gabriela; Postolache, Octavian Adrien; Pereira, José Miguel Costa Dias; Girão, Pedro Silva; Viegas, VítorSmall and reliable devices that are used not only in clinics or hospital but also in home, give information on movements, activities or other relevant data on person health and functioning. The data acquired by these devices would increase the accessibility to healthcare services and quality of care, in a safe environment. There are scarce data related to integration of Internet of Things (IoT) technologies into information system for physiotherapy or motor rehabilitation. In this work it is presented a framework for IoT based information system for physiotherapy. The presented model for physiotherapy includes: the capacity of IoT based information system to receive inputs from different modalities; support for modularity and common communication technologies for IoT; gateway capabilities and/or edge computing; data storage and analysis in Server, Cloud Server or Microservices. Research is needed for better understanding what is the optimal model and architecture for IoT platforms targeting people with different types of disabilities, as well as an optimal universal design that may increase the quality of care for people with disability.
- Smart Walker Solutions for Physical RehabilitationPublication . Postolache, Octavian; Pereira, José Miguel Costa Dias; Viegas, Vítor; Pedro, Luísa; Girão, Pedro Silva; Oliveira, Raul; Postolache, Gabriela
- WSN Gait Monitoring for Objective Evaluation of Rehabilitation ProcessPublication . Postolache, Octavian; Pereira, José Miguel Costa Dias; Girão, Pedro Silva; Viegas, Vítor; Postolache, GabrielaA survey of wireless sensor network solutions for gait assessment is presented including own developed solution gait assessment based on smart insoles nodes ZigBee compatible characterized by multichannel force measurement and MEMS inertial measurement IMU. The system was developed to measure ground reaction force, acceleration and direction of feet in order to provide information to physiotherapists for an objective evaluation of rehabilitation effectiveness. Based on acquired data from the sensing channels a set of gait feature extraction such as walking speed stride length, swing time are calculated as part of gait analysis. Software for WSN node control, gait feature calculation and primary analysis of rehabilitation effectiveness developed for the physiotherapist was designed and implemented and preliminary tests were carried out for normal and simulated anomalous gait.