Search for dissertations about: "Mobyen Uddin Ahmed"

Showing result 1 - 5 of 7 swedish dissertations containing the words Mobyen Uddin Ahmed.

  1. 1. A case-based multi-modal clinical system for stress management

    Author : Mobyen Uddin Ahmed; Peter Funk; Ning Xiong; Bo von Schéele; Nosrat Shahsavar; Mälardalens högskola; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; stress management; diagnosis and treatment; multi-purpose and multi-modal; Case-based reasoning; textual information retrieval; rule-based reasoning; and fuzzy logic; Computer science; Datavetenskap; Computer Science; datavetenskap;

    Abstract : A difficult issue in stress management is to use biomedical sensor signal in the diagnosis and treatment of stress. Clinicians often make their diagnosis and decision based on manual inspection of physiological signals such as, ECG, heart rate, finger temperature etc. READ MORE

  2. 2. A Multimodal Approach for Clinical Diagnosis and Treatment

    Author : Mobyen Uddin Ahmed; Peter Funk; Bo von Scheele; Ning Xiong; Cindy Marling; Mälardalens högskola; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Computer Science; datavetenskap;

    Abstract : A computer-aided Clinical Decision Support System (CDSS) for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSS could function as an expert for a less experienced clinician or as a second option/opinion of an experienced clinician to their decision making task. READ MORE

  3. 3. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

    Author : Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys; Mikrodataanalys; Microdata Analysis;

    Abstract : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). READ MORE

  4. 4. Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals

    Author : Shaibal Barua; Peter Funk; Shahina Begum; Mobyen Uddin Ahmed; Christer Ahlström; Jose Peña; Mälardalens högskola; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Artificial Intelligent; Intelligent systems; Physiological signal; Driver monitoring; Computer Science; datavetenskap;

    Abstract : Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driv- er. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. READ MORE

  5. 5. Multivariate Data Analytics to Identify Driver’s Sleepiness, Cognitive load, and Stress

    Author : Shaibal Barua; Shahina Begum; Peter Funk; Mobyen Uddin Ahmed; Christer Ahlström; Nirmalie Wiratunga; Mälardalens högskola; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Driver monitoring; Driver state; Physiological signals; Machine learning; Contextual information; Computer Science; datavetenskap;

    Abstract : Driving a vehicle in a dynamic traffic environment requires continuous adaptation of a complex manifold of physiological and cognitive activities. Impaired driving due to, for example, sleepiness, inattention, cognitive load or stress, affects one’s ability to adapt, predict and react to upcoming traffic events. READ MORE