Stress diagnosis based on finger temperature (FT) signals is receiving increasing interest in the psycho‐physiological domain. However, practice, it difficult and tedious for a clinician particularly less experienced clinicians to understand, interpret, analyze complex, lengthy sequential measurements make treatment plan. The paper presents case‐based decision support system assist performing such tasks. Case‐based reasoning (CBR) applied as main methodology facilitate experience reuse...

This paper presents a framework to process and analyze data from pulse oximeter which remotely measures rate blood oxygen saturation set of individuals. Using case-based reasoning (CBR) as the backbone framework, records are analyzed categorized according their similarity. Record collection has been performed using personalized health profiling approach in participants wore sensor for fixed period time specific activities pre-determined intervals. variety feature extraction methods time,...

Health monitoring systems using wearable sensors have rapidly grown in the biomedical community. The main challenges physiological data are to analyse large volumes of health measurements and represent acquired information. Natural language generation is an effective method create summaries for both clinicians patients as it can describe useful information extracted from sensor textual format. This paper presents a framework natural system that provides text-based representation numeric...

Machine learning algorithms play an important role in computer science research. Recent advancement sensor data collection clinical sciences lead to a complex, heterogeneous processing, and analysis for patient diagnosis prognosis. Diagnosis treatment of patients based on manual these are difficult time consuming. Therefore, development Knowledge-based systems support clinicians decision-making is important. However, it necessary perform experimental work compare performances different...

Computer-aided decision support systems play an increasingly important role in clinical diagnosis and treatment. However, they are difficult to build for domains where the domain theory is weak different experts differ diagnosis. Stress treatment example of such a domain. This paper explores several artificial intelligence methods techniques particular case-based reasoning, textual information retrieval, rule-based fuzzy logic enable more reliable stress. The proposed hybrid approach has...

Today, the healthcare monitoring is not limited to take place in primary care facilities simply due to deployment of ICT. However, support an ICT-based health monitoring, proper parameters, sensor devices, data communications, approaches, methods and their combination are still open challenges. This paper presents a self-serve system active ageing by assisting seniors to participate regular elderly’s condition. Here, main objective facilitate a number services enable good...

Heart rate variability (HRV) is a popular parameter for depicting activities of autonomous nervous system and helps to explain various physiological the body. A small amount artifacts can produce significant changes especially, time domain HRV features. Manual correction performed by visual inspection signal experts tedious consuming often leads incorrect result especially long term recordings. Therefore, an automatic artifact removing approach that provide clinically useful analysis...

Vital signs monitoring for elderly in daily life environment is a promising concept that efficiently can provide medical services to people at home.However, make the system self-served and functioning as personalized provision makes challenge even larger.This paper presents case study on Health-IoT where an intelligent healthcare service developed monitor vital life.Here, generic framework with Clinical Decision Support System (CDSS) presented.The mainly focused supporting sensors,...

This paper presents a signal pre-processing and feature extraction approach based on electrocardiogram (ECG) sensor signal. The extracted features are used to formulate cases in case-based reasoning system develop personalized stress diagnosis system. results obtained from the evaluation show performance close an expert domain diagnosing using ECG

Abstract Sensors can produce large amounts of data related to products, design, and materials; however, it is important use the right for purposes. Therefore, detailed analysis accumulated from different sensors in production assembly manufacturing lines necessary minimize faulty products understand process. Additionally, when selecting analytical methods, companies must select most suitable techniques. This paper presents a analytics approach extract useful information, such as measurements...