S. Konstantinidis, Ellen Brox, P. Kummervold, J. Hallberg, Gunn J. Evertsen, Johannes Hirche
{"title":"Online Social Exergames for Seniors","authors":"S. Konstantinidis, Ellen Brox, P. Kummervold, J. Hallberg, Gunn J. Evertsen, Johannes Hirche","doi":"10.4018/978-1-7998-1204-3.ch080","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch080","url":null,"abstract":"The population is getting older, and the resources for care will be even more limited in the future than they are now. There is thus an aim for the society that the seniors can manage themselves as long as possible, while at the same time keeping a high quality of life. Physical activity is important to stay fit, and social contact is important for the quality of life. The aim of this chapter is to provide a state-of-the-art of online social exergames for seniors, providing glimpses of senior users' opinions and games limitations. The importance of the motivational techniques is emphasized, as well as the impact that the exergames have to seniors. It contributes to the book objectives focusing on current state and practice in health games for physical training and rehabilitation and the use of gamification, exploring future opportunities and uses of gamification in eHealth and discussing the respective challenges and limitations.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127610245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agent-Based Modelling in Multicellular Systems Biology","authors":"Sara Montagna, Andrea Omicini","doi":"10.4018/978-1-5225-1756-6.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-1756-6.CH007","url":null,"abstract":"This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electromyogram and Inertial Sensor Signal Processing in Locomotion and Transition Classification","authors":"D. Joshi, M. Hahn","doi":"10.4018/978-1-5225-0660-7.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-0660-7.CH009","url":null,"abstract":"Signal processing in biomedical engineering is essentially required for classification while serving mainly two aims. The first is noise removal and the second is signal representation. Signal representation deals with transforming the signal in such a way that the signal is most informative in that particular domain for the application at hand. This chapter will describe signal processing methods like spectrogram with specific applications to locomotion and transition classification using Electromyography (EMG) data. A wavelet analysis application on foot acceleration signals for automatic identification of toe off in locomotion and the ramp transition is also shown. Finally, the performance of EMG and accelerometer performance across different time windows of a gait cycle in locomotion and transition classification is presented with an emphasis on fusing the data from both sensors for better classification.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Performance of Educational Institutions Through the Electronic Records Management Systems","authors":"Muaadh Mukred, Z. M. Yusof","doi":"10.4018/978-1-7998-1204-3.ch079","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch079","url":null,"abstract":"This article discusses the relationship between educational institutes that use ERMS and the performance of those institutions. This article uses a mixed explanatory method that incorporated quantitative and qualitative approaches. The quantitative method collected the responses from 364 participants. This was followed by a qualitative approach where experts were interviewed to verify the model. The results generated using the quantitative approach demonstrated that the quality of the system, information, and service as well as the security provided by the system had a significant positive relationship with the successful adoption of ERMS, which in turn improved performance. Moreover, the qualitative results that gathered through the experts confirmed the findings and contributed to enriching the understanding of the adoption of ERMS in educational institutions.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116861719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Poulami Ghosh, A. Mazumder, A. Banerjee, D. Tibarewala
{"title":"Electromyography-Based Functional Electrical Stimulation (FES) in Rehabilitation","authors":"Poulami Ghosh, A. Mazumder, A. Banerjee, D. Tibarewala","doi":"10.4018/978-1-4666-8811-7.CH016","DOIUrl":"https://doi.org/10.4018/978-1-4666-8811-7.CH016","url":null,"abstract":"Loss or impairment in the ability of muscle movement or sensation is called Paralysis which is caused by disruption of communication of nerve impulses along the pathway from the brain to the muscles. One of the principal reasons causing paralysis is Spinal Cord Injury (SCI) and Neurological rehabilitation by using neuro-prostheses, based on Functional Electrical Stimulation (FES) is extensively used for its treatment. Impaired muscles are activated by applying small amplitude electrical current. Electromyography (EMG), the recording of biosignals generated by muscle activity during the application of FES can be used as the control signal for FES based rehabilitative devices. This method is predominantly used for restoring upper extremity functioning (wrist, hand, elbow, etc.), standing, walking (speed, pattern) in stroke patients. FES, collaborated with conventional methods, has the potential to be utilized as a useful tool for rehabilitation and restoration of muscle strength, metabolic responses etc. in paralyzed patients.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116678837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pluralistic Tendencies in Healing Abantu Illness in the Contemporary South Africa","authors":"K. Ngqila","doi":"10.4018/978-1-5225-0833-5.CH017","DOIUrl":"https://doi.org/10.4018/978-1-5225-0833-5.CH017","url":null,"abstract":"Ukuhanjwa illness was used as an example to understanding abantu illnesses. With attributional theory ukuhanjwa illness is attributed to spiritual and social causes rather than biomedical causes, whereby causal link is socially constructed between ukuhanjwa illness and entry into the body by familiars. Issues explored included conceptualisation of ukuhanjwa illness. The focus of the chapter is on the reasons for continued pluralistic tendencies in healing regardless of the expectation by the West that people should be focusing on the use of the fast evolving biomedical healing methods. The ethnographic study took place among the Southern Nguni people of OR Tambo District Municipality (ORTDM) in the Eastern Cape, South Africa. Data was collected using qualitative and ethnographic research methods amongst a sample group of 50 participants. The sample was composed of traditional healers, mothers of children who have experienced ukuhanjwa illness, elderly people (male and female), biomedical practitioners and nurses.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Pouliakis, Stavros K Archondakis, N. Margari, P. Karakitsos
{"title":"From Telecytology to Mobile Cytopathology","authors":"A. Pouliakis, Stavros K Archondakis, N. Margari, P. Karakitsos","doi":"10.4018/978-1-7998-1204-3.ch096","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch096","url":null,"abstract":"Cytopathology is a popular discipline since George Papanicolaou proposed the famous test pap about 60 years ago. Today modern cytopathology laboratories still use the microscope as the primary diagnostic device and additionally they host modalities performing medical tests and exchange data via networks and have imaging systems producing pictures and virtual slides; the volume of produced data nowadays is enormous. Simultaneously mobile phones and tablets have evolved; their capabilities compete desktop computers and have the advantage of being always connected and at the side of users. Despite there are rather limited applications relevant to cytopathology for the mobile device, there is potential for uses in numerous activities of the cytopathology laboratory, including and not limited to: training, reporting, diagnosis and consultation, laboratory management, whole slide imaging, interactions between patient-doctor, doctor-doctor and within the laboratory personnel, quality control and assurance. Mobile devices can offer important benefits to the modern cytopathology laboratory.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133732495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan C. Lavariega, Roberto Garza, Lorena G. Gómez, V. J. Lara-Diaz, Manuel J. Silva-Cavazos
{"title":"EEMI - An Electronic Health Record for Pediatricians","authors":"Juan C. Lavariega, Roberto Garza, Lorena G. Gómez, V. J. Lara-Diaz, Manuel J. Silva-Cavazos","doi":"10.4018/978-1-7998-1204-3.ch034","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch034","url":null,"abstract":"The use of paper health records and handwritten prescriptions are prone to preset errors of misunderstanding instructions or interpretations that derive in affecting patients' health. Electronic Health Records (EHR) systems are useful tools that among other functions can assists physicians' tasks such as finding recommended medicines, their contraindications, and dosage for a given diagnosis, filling prescriptions and support data sharing with other systems. This paper presents EEMI, a Children EHR focused on assisting pediatricians in their daily office practice. EEMI functionality keeps the relationships among diagnosis, treatment, and medications. EEMI also calculates dosages and automatically creates prescriptions which can be personalized by the physician. The system also validates patient allergies. This paper also presents the current use of EHRs in Mexico, the Mexican Norm (NOM-024-SSA3-2010), standards for the development of electronic medical records and its relationships with other standards for data exchange and data representation in the health area.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Cloud Gets Personal","authors":"Rhoda C. Joseph, Patrick Brown","doi":"10.4018/978-1-7998-1204-3.ch068","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch068","url":null,"abstract":"Cloud computing, at its most fundamental level, is a technology that allows computing to occur as an on-demand utility. Personalized medicine is revolutionizing the field of medicine, and aims to provide individualized treatment for patients, based on their genetic material and medical history, through comparisons to genetic material from thousands of other patients. Better patient outcomes are expected in a personalized medicine domain as compared to more generic generalized options. In this paper the authors explore the use of cloud computing in the area of personalized medicine examining unique benefits and opportunities. They also recognize and discuss the presence of some inherent risks. Using the cloud for personalized medicine can expedite collaborations and data collection across different clinicians, researchers and other stakeholders involved in the fight against diseases. This paper examines key elements associated with using cloud computing in the specialized area of personalized medicine.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117101646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forensic Investigation of Digital Crimes in Healthcare Applications","authors":"N. Ellouze, S. Rekhis, N. Boudriga","doi":"10.4018/978-1-5225-0463-4.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-0463-4.CH007","url":null,"abstract":"Healthcare applications are increasingly being used due to the safety and convenience brought to patients' life and healthcare professionals, respectively. Nevertheless, the use of weak authentication techniques and vulnerable communication protocols makes these applications threatened by specific classes of security attacks and e-crimes. The latter threaten the privacy, the safety and even the life of the persons using these applications, due to the fact that they handle sensitive information and implement complex and critical features. This chapter focuses on postmortem investigation of crimes on healthcare applications. After classifying crimes targeting healthcare applications, the requirements for the design of appropriate postmortem investigation system, are discussed. A literature review of proposals related to the investigation of crimes in healthcare applications together with a discussion of the advanced issues are also provided in this chapter.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124481787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}