System for Assisted Exercising and Qualitative Exercise Assessment

Džaja, Dominik; Varga, Matija; Šeketa, Goran; Zulj, Sara; Celić, Luka; Lacković, Igor; Magjarević, Ratko

doi:10.1007/978-3-319-11128-5_170

Cited by 4 publications

(3 citation statements)

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“…The module for exercising developed at our University comprises WBAN and corresponding software [7]. Each node in WBAN has integrated sensor chip InvenSense MPU-9150, which contains an accelerometer, gyroscope and magnetometer in a single package, microprocessor Nordic Semiconductor nRF51822 for data gathering with Bluetooth LE V4.1 module for communication and Li-Ion battery.…”

Section: B Exercise Modulementioning

confidence: 99%

Supporting Diabetic Patients with a Remote Patient Monitoring Systems

et al. 2017

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Abstract-In order to achieve better self-control of their diabetes and to decrease long-term risks of complications, diabetic patients monitor several different parameters on a day-to-day basis. These parameters, such as blood glucose level, insulin intake, weight, diet, exercise and physical activity, blood pressure, can be easily acquired using IT technologies without oppressing the patient with handwritten diaries. At the same time, healthcare professionals are provided with the data on time and can intervene without delay, if necessary. The system collects data on blood glucose level using special device for communication between glucose meter and either a smartphone or a PC. A person's weight is acquired using a modified body scale which, while weighing, at the same time scans patient's feet and stores images for further processing and comparison with the images from pressure measurement platform. Patients enter their own diet and therapy using a smartphone app. Information on exercise and physical activity is provided using WBAN (Wireless Body Area Network) system with complementing software, both developed at our University. The system supports patients while performing previously determined exercise plan without the immediate presence of trainer, and also acquires data on regular daily activity (walking, running, sitting,…). The parts of the system providing some of the parameters are either developed in our previous studies or commercial, and they are integrated into our e-system. After collecting, the data is stored in a database for further use by diabetic patients themselves or by their healthcare providers.

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Section: B Exercise Modulementioning

confidence: 99%

Supporting Diabetic Patients with a Remote Patient Monitoring Systems

et al. 2017

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“…The aim of Se-Co is to provide lower wearable and IoT adoption boundaries by providing architecture and methods for seamless experience across a user's multiple environments present during the day as shown in Figure 1. These challenges were experienced during our previous research [40,41]. Using Se-Co ensures seamless connectivity by connecting either to home or to previously unknown roaming networks without a need for user intervention and without taking over the tasks of establishing and maintaining connection.…”

Section: Solution Proposalmentioning

confidence: 99%

Seamless connectivity architecture and methods for IoT and wearable devices

Celić

Magjarević

2019

Automatika

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Wearable and Internet of Things (IoT) devices have the potential to improve lifestyle, personalize receiving treatments or introduce assisted living for elderly people. However, service delivery depends on maintaining and troubleshooting device connectivity to smartphones, where user engagement and technology proficiency represent a possible barrier that prevents a wider adoption, especially in the elderly and disabled population. Low-cost and low-power wearable and IoT devices face challenges when operating out of range of known home networks or pared devices. We propose an architecture and methods to provide seamless connectivity (Se-Co) between devices and wireless networks while maintaining low-power, low-cost and standards compatibility. Through Se-Co, the devices connect without user interaction both in home and in unknown roaming networks while maintaining anonymity, privacy and security. Roaming networks approve data limited connectivity to unknown devices that are able to provide a valid anonymized certificate of compliance and no harm through a home provider. Se-Co enables shifting data processing, such as pattern processing using artificial intelligence, from a wearable device or smartphone towards the cloud. The proposed Se-Co architecture could provide solutions to increase usability of wearable devices and improve their wider adoption, while keeping low the costs of devices, development and services.

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“…WBAN is an innovative technology which detects abnormalities of patient's health condition well before life threatening situation [3]. It can instruct deaf and blind people as personal assistance [4,5], and monitors physical organs of sportsman on playground [6] and soldiers on battlefield [7,8]. It comprises of number of Biomedical Sensors (BMSs) and a Body Coordinator (BC) [9].…”

Section: Introductionmentioning

confidence: 99%

EETP-MAC: energy efficient traffic prioritization for medium access control in wireless body area networks

et al. 2017

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Wireless body area network (WBAN) has witnessed significant attentions in the healthcare domain using biomedical sensor-based monitoring of heterogeneous nature of vital signs of a patient's body. The design of frequency band, MAC superframe structure, and slots allocation to the heterogeneous nature of the patient's packets have become the challenging problems in WBAN due to the diverse QoS requirements. In this context, this paper proposes an Energy Efficient Traffic Prioritization for Medium Access Control (EETP-MAC) protocol, which provides sufficient slots with higher bandwidth and guard bands to avoid channels interference causing longer delay. Specifically, the design of EETP-MAC is broadly divided in to four folds. Firstly, patient data traffic prioritization is presented with broad categorization including Non-Constrained Data (NCD), Delay-Constrained Data (DCD), Reliability-Constrained Data (RCD) and Critical Data (CD). Secondly, a modified superframe structure design is proposed for effectively handling the traffic prioritization. Thirdly, threshold based slot allocation technique is developed to reduce contention by effectively quantifying criticality on patient data. Forth, an energy efficient frame design is presented focusing on beacon interval, superframe duration, and packet size and inactive period. Simulations are performed to comparatively evaluate the performance of the proposed EETP-MAC with the state-of-the-art MAC protocols. The comparative evaluation attests the benefit of EETP-MAC in terms of efficient slot allocation resulting in lower delay and energy consumption.

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System for Assisted Exercising and Qualitative Exercise Assessment

Cited by 4 publications

References 0 publications

Supporting Diabetic Patients with a Remote Patient Monitoring Systems

Supporting Diabetic Patients with a Remote Patient Monitoring Systems

Seamless connectivity architecture and methods for IoT and wearable devices

EETP-MAC: energy efficient traffic prioritization for medium access control in wireless body area networks

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