| 1. |
- Ahmed, Mobyen Uddin, et al.
(författare)
-
A Generic System-level Framework for Self-Serve Health Monitoring System through Internet of Things(IoT)
- 2015
-
Ingår i: Studies in Health Technology and Informatics, Volume 211. - 9781614995159 ; , s. 305-307
-
Konferensbidrag (refereegranskat)abstract
- Sensor data are traveling from sensors to a remote server, data is analysed remotely in a distributed manner, and health status of a user is presented in real-time. This paper presents a generic system-level framework for a self-served health monitoring system through the Internet of Things (IoT) to facilities an efficient sensor data management.
|
|
| 2. |
- Ahmed, Mobyen Uddin, et al.
(författare)
-
An Overview on the Internet of Things for Health Monitoring Systems
- 2016
-
Ingår i: 2nd EAI International Conference on IoT Technologies for HealthCare HealthyIoT2015. - Cham : Springer International Publishing. ; , s. 429-436
-
Konferensbidrag (refereegranskat)abstract
- The aging population and the increasing healthcare cost in hospitals are spurring the advent of remote health monitoring systems. Advances in physiological sensing devices and the emergence of reliable low-power wireless network technologies have enabled the design of remote health monitoring systems. The next generation Internet, commonly referred to as Internet of Things (IoT), depicts a world populated by devices that are able to sense, process and react via the Internet. Thus, we envision health monitoring systems that support Internet connection and use this connectivity to enable better and more reliable services. This paper presents an overview on existing health monitoring systems, considering the IoT vision. We focus on recent trends and the development of health monitoring systems in terms of: (1) health parameters, (2) frameworks, (3) wireless communication, and (4) security issues. We also identify the main limitations, requirements and advantages within these systems.
|
|
| 3. |
- Ahmed, Mobyen Uddin, et al.
(författare)
-
Healthcare Service at Home : An Intelligent Health Monitoring System for Elderly
- 2015
-
Ingår i: Medicinteknikdagarna 2015 MFT 2015.
-
Konferensbidrag (refereegranskat)abstract
- This paper presents an intelligent healthcare service to support active ageing by assisting seniors to participate in regular monitoring of elderly’s health condition. The proposed system is applicable to use in home environment and offers a self-service approach to monitor elderly’s health condition. According to the evaluation, the proposed system shows its necessity, competence and usefulness.
|
|
| 4. |
- Ahmed, Mobyen Uddin, et al.
(författare)
-
Intelligent Stress Management System
- 2009
-
Ingår i: Medicinteknikdagarna 2009.
-
Konferensbidrag (refereegranskat)abstract
- Today, in our daily life we are subjected to a wide range of pressures. When the pressures exceed the extent that we are able to deal with then stress is trigged. High level of stress may cause serious health problems i.e. it reduces awareness of bodily symptoms. So, people may first notice it weeks or months later meanwhile the stress could cause more serious effect in the body and health. A difficult issue in stress management is to use biomedical sensor signals in the diagnosis and treatment of stress. This paper presents a case-based system that assists a clinician in diagnosis and treatment of stress. The system uses a finger temperature sensor and the variation in the finger temperature is one of the key features in the system. Several artificial intelligence techniques such as textual information retrieval, rule-based reasoning (RBR), and fuzzy logic have been combined together with case-based reasoning to enable more reliable and efficient diagnosis and treatment of stress. The performance has been validated implementing a research prototype and close collaboration with experts.
|
|
| 5. |
- Ahmed, Mobyen Uddin, 1976-, et al.
(författare)
-
Multi-parameter Sensing Platform in ESS-H and E-care@home
- 2017
-
Ingår i: Joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) EMBEC & NBC’17.
-
Konferensbidrag (refereegranskat)abstract
- Considering the population of ageing, health monitoring of elderly at home have the possibility for a person to keep track on his/her health status, e.g. decreased mobility in a personal environment. This also shows the potential of real-time decision support, early detection of symptoms, following of health trends and context awareness [1]. The ongoing projects Embedded Sensor for Health (ESS-H)1 and E-care@home2 are focusing on health monitoring of elderly at home. This paper presents the implementation of multi-parameter sensing on an Android platform. The objectives are, both to follow health trends and to enabling real time monitoring.
|
|
| 6. |
- Ahmed, Mobyen Uddin, 1976-, et al.
(författare)
-
Run-Time Assurance for the E-care@home System
- 2018
-
Ingår i: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225). - Cham : Springer International Publishing. - 9783319762128 - 9783319762135 ; , s. 107-110
-
Konferensbidrag (refereegranskat)abstract
- This paper presents the design and implementation of the software for a run-time assurance infrastructure in the E-care@home system. An experimental evaluation is conducted to verify that the run-time assurance infrastructure is functioning correctly, and to enable detecting performance degradation in experimental IoT network deployments within the context of E-care@home. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
|
|
| 7. |
- Begum, Shahina, et al.
(författare)
-
Diagnosis and Biofeedback System for Stress
- 2009
-
Ingår i: Proceedings of the 6th International Workshop on Wearable, Micro, and Nano Technologies for Personalized Health: "Facing Future Healthcare Needs", pHealth 2009. - 9781424452538 ; , s. 17-20
-
Konferensbidrag (refereegranskat)abstract
- Today, everyday life for many people contain many situations that may trigger stress or result in an individual living on an increased stress level under long time. High level of stress may cause serious health problems. It is known that respiratory rate is an important factor and can be used in diagnosis and biofeedback training, but available measurement of respiratory rate are not especially suitable for home and office use. The aim of this project is to develop a portable sensor system that can measure the stress level, during everyday situations e.g. at home and in work environment and can help the person to change the behaviour and decrease the stress level. The sensor explored is a finger temperature sensor. Clinical studies show that finger temperature, in general, decreases with stress; however this change pattern shows large individual variations. Diagnosing stress level from the finger temperature is difficult even for clinical experts. Therefore a computer-based stress diagnosis system is important. In this system, case-based reasoning and fuzzy logic have been applied to assists in stress diagnosis and biofeedback treatment utilizing the finger temperature sensor signal. An evaluation of the system with an expert in stress diagnosis shows promising result.
|
|
| 8. |
- Köckemann, Uwe, 1983-, et al.
(författare)
-
Open-source data collection and data sets for activity recognition in smart homes
- 2020
-
Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:3
-
Tidskriftsartikel (refereegranskat)abstract
- As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method developments, real data sets that are open and shared are equally as important. This paper presents the E-care@home system, its installation in a real home setting, and a series of data sets that were collected using the E-care@home system. Our first contribution, the E-care@home system, is a collection of software modules for data collection, labeling, and various reasoning tasks such as activity recognition, person counting, and configuration planning. It supports a heterogeneous set of sensors that can be extended easily and connects collected sensor data to higher-level Artificial Intelligence (AI) reasoning modules. Our second contribution is a series of open data sets which can be used to recognize activities of daily living. In addition to these data sets, we describe the technical infrastructure that we have developed to collect the data and the physical environment. Each data set is annotated with ground-truth information, making it relevant for researchers interested in benchmarking different algorithms for activity recognition.
|
|
| 9. |
|
|
| 10. |
|
|
