E-health-IoT Universe: A Review

The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed for data-analytics processes. The scenarios in which the IoT devices may be useful are amazing varying, from automotive, to industrial automation or remote monitoring of domestic environment. Furthermore, has been proved that healthcare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of healthcare and most importantly increasing the quality of life of the patients. In this paper, we analyze the state-of-art of IoT in medical environment, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market. In particular, problems regarding characteristics of response-time and precision will be examined.  Furthermore, wearable and energy saving properties will be investigated in this paper and also the IT architectures able to ensure security and privacy during the all data-transmission process. Finally, considerations about data mining applications, such as risks prediction, classification and clustering will be provided, that are considered fundamental issues to ensure the accuracy of the care processes

S50-01 Depression and bipolar disorder: Is prevention of mania possible? Critical issues on diagnostic criteria

Diagnostic criteria for bipolar disorder in DSM IV require the occurrence of a manic or hypomanic episode. The scant appropriateness of these criteria compared with Kraepelin"s concept of manic depressive insanity has been repeatedly reported and the concept of bipolar spectrum has been proposed for more than 30 years. The negative consequences of pure adherence to operational diagnostic criteria on clinical needs are presented in terms of community epidemiology results and in terms of clinical evidences and the inadequate treatment of depressive and anxiety episodes and the risk of manic switch with antidepressant drugs are discussed.The epidemiological survey conducted in Sesto Fiorentino showed that depressive episodes in patients with subthreshold mania or hypomania were different from the clinical presentation of pure unipolar depressives episodes confirming not only the numeric impact but also qualitative differences between these groups of patients.Our clinical study where predictors of mania have been prospectively evaluated in a trans nosographic sample of outpatients demonstrated that aspects related to bipolarity predicted manic shift regardless of the diagnosis. DSM IV criteria seem not to be able to detect and describe a group of patients relevant both on epidemiological and on clinical level. These findings underline the need of a careful examination of patients treatment and validate the rule of further research in definition of mood disorders boundaries for prevention strategies

e health iot universe a review

The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed for data-analytics processes. The scenarios in which the IoT devices may be useful are amazing varying, from automotive, to industrial automation or remote monitoring of domestic environment. Furthermore, has been proved that healthcare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of healthcare and most importantly increasing the quality of life of the patients. In this paper, we analyze the state-of-art of IoT in medical environment, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market. In particular, problems regarding characteristics of response-time and precision will be examined. Furthermore, wearable and energy saving properties will be investigated in this paper and also the IT architectures able to ensure security and privacy during the all data-transmission process. Finally, considerations about data mining applications, such as risks prediction, classification and clustering will be provided, that are considered fundamental issues to ensure the accuracy of the care processes

Smarter City: Smart Energy Grid based on Blockchain Technology

The improvement of the Quality of Life (QoL) and the enhancement of the Quality of Services (QoS) represent the main goal of every city evolutionary process. It is possible making cities smarter promoting innovative solutions by use of Information and Communication Technology (ICT) for collecting and analysing large amounts of data generated by several sources, such as sensor networks, wearable devices, and IoT devices spread among the city. The integration of different technologies and different IT systems, needed to build smart city applications and services, remains the most challenge to overcome. In the Smart City context, this paper intends to investigate the Smart Environment pillar, and in particular the aspect related to the implementation of Smart Energy Grid for citizens in the urban context. The innovative characteristic of the proposed solution consists of using the Blockchain technology to join the Grid, exchanging information, and buy/sell energy between the involved nodes (energy providers and private citizens), using the Blockchain granting ledger

The Florence Psychiatric Interview

The Florence Psychiatric Interview (FPI) is an interviewing instrument for evaluating psychopathology in the community. The FPI is designed to be completed by clinical interviewers, and focuses on single episodes of illness where the symptoms are assessed and graded according to their severity on five-point scales. Psychiatric symptoms are evaluated regardless of their diagnostic collocation, and period and lifetime diagnoses may be generated by combining the episodes and using the appropriate algorithms (the information provided by the FPI covers the requirements of all the present diagnostic systems). Other aspects of psychiatric disorders that are usually ignored in other interviews are investigated (for example, costs of illness, use of health facilities, life events, and personality traits). Data on reliability (inter-rater agreement and test-retest reliability) and agreement with other instruments such as the Composite International Diagnostic Interview (CIDI) and the Structured Clinical Interview for the Diagnostic and Statistic Manual of Mental Disorders (SCID) seem encouraging. The FPI's ability to collect lifetime symptoms by combining episodes matches that of an interview (the CIDI) that uses the lifetime approach. Agreement between fully qualified psychiatrists and trained residents was excellent. The ability of the cases to recall symptoms experienced several years before was also acceptable. This instrument is therefore proposed for clinical studies at the epidemiological level. Copyright © 2001 Whurr Publishers Ltd

Is semantic verbal fluency impairment explained by executive function deficits in schizophrenia?

Objective: To investigate if verbal fluency impairment in schizophrenia reflects executive function deficits or results from degraded semantic store or inefficient search and retrieval strategies. Method: Two groups were compared: 141 individuals with schizophrenia and 119 healthy age and education-matched controls. Both groups performed semantic and phonetic verbal fluency tasks. Performance was evaluated using three scores, based on 1) number of words generated2) number of clustered/ related wordsand 3) switching score. A fourth performance score based on the number of clusters was also measured. Results: Individuals with schizophrenia produced fewer words than controls. After controlling for the total number of words produced, a difference was observed between the groups in the number of cluster-related words generated in the semantic task. In both groups, the number of words generated in the semantic task was higher than that generated in the phonemic task, although a significant group vs. fluency type interaction showed that subjects with schizophrenia had disproportionate semantic fluency impairment. Working memory was positively associated with increased production of words within clusters and inversely correlated with switching. Conclusion: Semantic fluency impairment may be attributed to an inability (resulting from reduced cognitive control) to distinguish target signal from competing noise and to maintain cues for production of memory probes.Fundacao de Amparo e Pesquisa do Estado de Sao Paulo (FAPESP)Univ Fed Sao Paulo, Dept Psiquiatria, Programa Esquizofrenia PROESQ, Sao Paulo, SP, BrazilUniv Fed Sao Paulo, Dept Psiquiatria, LINC, Sao Paulo, SP, BrazilCtr Univ FIEO UNIFIEO, Dept Psicol Educ, Ave Franz Voegeli 300,Bloco Prata,Sala 10, BR-06020190 Osasco, SP, BrazilBrown Univ, Dept Cognit & Linguist Sci, Providence, RI 02912 USAUniv Mackenzie, Programa Posgrad Disturbios Desenvolvimento, Sao Paulo, SP, BrazilUniv Fed Sao Paulo, Dept Psiquiatria, Programa Esquizofrenia PROESQ, Sao Paulo, SP, BrazilUniv Fed Sao Paulo, Dept Psiquiatria, LINC, Sao Paulo, SP, BrazilFAPESP: 2011/50740-5FAPESP: 2007/58630-9Web of Scienc

Morphology of the toe flexor muscles in older people with toe deformities

Objective: Despite suggestions that atrophied, or weak toe flexor muscles are associated with the formation of toe deformities, there has been little evidence to support this theory. This study aimed to determine whether the size of the toe flexor muscles differed in older people with and without toe deformities. Methods: Forty-four older adults (>60 years) were recruited for the study. Each participant had their feet assessed for the presence of hallux valgus or lesser toe deformities. Intrinsic and extrinsic toe flexor muscles were imaged with an ultrasound system using a standardised protocol. Assessor blinded muscle thickness and cross-sectional area was measured using Image J software. Results: Participants with lesser toe deformities (n=20) were found to have significantly smaller quadratus plantae (p=0.003), flexor digitorum brevis (p=0.013), abductor halluces (p=0.004) and flexor halluces brevis (p=0.005) muscles than the participants without any toe deformities (n=19). Female participants with hallux valgus (n=10) were found to have significantly smaller abductor hallucis (p=0.048) and flexor halluces brevis (p=0.013) muscles than the female participants without any toe deformities (n=10; p<0.05). Conclusion: This is the first study to use ultrasound to investigate the size of the toe flexor muscles in older people with hallux valgus and lesser toe deformities compared to otherwise healthy older adults. The size of the abductor hallucis and flexor hallucis brevis muscles were decreased in participants with hallux valgus whereas the quadratus plantae, flexor digitorum brevis, abductor hallucis and flexor halluces brevis muscles were smaller in those participants with lesser toe deformities