A Novel Smart Sensing Platform for Vital Signs and Motor Activity Monitoring

Ribeiro, Marco; Postolache, Octavian; Girão, Pedro Silva

doi:10.1007/978-3-319-02318-2_1

Cited by 4 publications

(1 citation statement)

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“…A set of wearable solutions developed by Postolache et al, characterized by Bluetooth connectivity as part of a smart system was used for motor and cardiac activity monitoring [9]. Interoperability and modularity were considered as important requirements for the latest developments in the smart sensors for vital signs and motor activity monitoring that conducted to a flexible multiprocessor plug-and-play architecture characterized also by multiple wireless connectivity capabilities [10]. The use of smart sensing solutions imposes the necessity to fix the sensing module in an appropriate way, which requires preparation from the physiotherapist to perform that task.…”

Section: Introductionmentioning

confidence: 99%

Assistive Smart Sensing Devices for Gait Rehabilitation Monitoring

Postolache

Pereira

Ribeiro

et al. 2015

Communications in Computer and Information Science

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Abstract. Smart sensing devices are nowadays part of the ambient assisted living architectures and may be adapted and personalized for gait rehabilitation assessment. Aiming an objective evaluation of patient progress during the physiotherapy sessions, the design and implementation of a set of sensing devices were carried out. Thus, it was considered a wearable solution materialized by a smart inertial measurement unit (IMU) and/or a set of walking aid objects characterized by embedded unobtrusive sensing units based on microwave Doppler radars. The data delivered by the smart sensing units designed for gait rehabilitation purpose are wireless transmitted to an advanced processing server that provides synthetic information to the physiotherapist that use a mobile device to access the available services. Elements of IMU sensor network and smart rollator design and implementation for gait assessment, as well as sensor signals digital processing, are included in the chapter.

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Section: Introductionmentioning

confidence: 99%