Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review.

Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement classic methods of mental health assessment and monitoring. This research area proposes innovative methods that perform multimodal sensing of multiple situations of interest (e.g., sleep, physical activity, mobility) to health professionals. In this paper, we present a Systematic Literature Review (SLR) to recognize, characterize and analyze the state of the art on DPMH using multimodal sensing of multiple situations of interest to professionals. We searched for studies in six digital libraries, which resulted in 1865 retrieved published papers. Next, we performed a systematic process of selecting studies based on inclusion and exclusion criteria, which selected 59 studies for the data extraction phase. First, based on the analysis of the extracted data, we describe an overview of this field, then presenting characteristics of the selected studies, the main mental health topics targeted, the physical and virtual sensors used, and the identified situations of interest. Next, we outline answers to research questions, describing the context data sources used to detect situations, the DPMH workflow used for multimodal sensing of situations, and the application of DPMH solutions in the mental health assessment and monitoring process. In addition, we recognize trends presented by DPMH studies, such as the design of solutions for high-level information recognition, association of features with mental states/disorders, classification of mental states/disorders, and prediction of mental states/disorders. We also recognize the main open issues in this research area. Based on the results of this SLR, we conclude that despite the potential and continuous evolution for using these solutions as medical decision support tools, this research area needs more work to overcome technology and methodological rigor issues to adopt proposed solutions in real clinical settings.

Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review.

BACKGROUND: Mental disorders are normally diagnosed exclusively on the basis of symptoms, which are identified from patients' interviews and self-reported experiences. To make mental health diagnoses and monitoring more objective, different solutions have been proposed such as digital phenotyping of mental health (DPMH), which can expand the ability to identify and monitor health conditions based on the interactions of people with digital technologies. OBJECTIVE: This article aims to identify and characterize the sensing applications and public data sets for DPMH from a technical perspective. METHODS: We performed a systematic review of scientific literature and data sets. We searched 8 digital libraries and 20 data set repositories to find results that met the selection criteria. We conducted a data extraction process from the selected articles and data sets. For this purpose, a form was designed to extract relevant information, thus enabling us to answer the research questions and identify open issues and research trends. RESULTS: A total of 31 sensing apps and 8 data sets were identified and reviewed. Sensing apps explore different context data sources (eg, positioning, inertial, ambient) to support DPMH studies. These apps are designed to analyze and process collected data to classify (n=11) and predict (n=6) mental states/disorders, and also to investigate existing correlations between context data and mental states/disorders (n=6). Moreover, general-purpose sensing apps are developed to focus only on contextual data collection (n=9). The reviewed data sets contain context data that model different aspects of human behavior, such as sociability, mood, physical activity, sleep, with some also being multimodal. CONCLUSIONS: This systematic review provides in-depth analysis regarding solutions for DPMH. Results show growth in proposals for DPMH sensing apps in recent years, as opposed to a scarcity of public data sets. The review shows that there are features that can be measured on smart devices that can act as proxies for mental status and well-being; however, it should be noted that the combined evidence for high-quality features for mental states remains limited. DPMH presents a great perspective for future research, mainly to reach the needed maturity for applications in clinical settings.

Dempster-Shafer Theory for Modeling and Treating Uncertainty in IoT Applications Based on Complex Event Processing.

The Internet of Things (IoT) has emerged from the proliferation of mobile devices and objects connected, resulting in the acquisition of periodic event flows from different devices and sensors. However, such sensors and devices can be faulty or affected by failures, have poor calibration, and produce inaccurate data and uncertain event flows in IoT applications. A prominent technique for analyzing event flows is Complex Event Processing (CEP). Uncertainty in CEP is usually observed in primitive events (i.e., sensor readings) and rules that derive complex events (i.e., high-level situations). In this paper, we investigate the identification and treatment of uncertainty in CEP-based IoT applications. We propose the DST-CEP, an approach that uses the Dempster-Shafer Theory to treat uncertainties. By using this theory, our solution can combine unreliable sensor data in conflicting situations and detect correct results. DST-CEP has an architectural model for treating uncertainty in events and its propagation to processing rules. We describe a case study using the proposed approach in a multi-sensor fire outbreak detection system. We submit our solution to experiments with a real sensor dataset, and evaluate it using well-known performance metrics. The solution achieves promising results regarding Accuracy, Precision, Recall, F-measure, and ROC Curve, even when combining conflicting sensor readings. DST-CEP demonstrated to be suitable and flexible to deal with uncertainty.

Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals.

Traditionally, mental health specialists monitor their patients' social behavior by applying subjective self-report questionnaires in face-to-face meetings. Usually, the application of the self-report questionnaire is limited by cognitive biases (e.g., memory bias and social desirability). As an alternative, we present a solution to detect context-aware sociability patterns and behavioral changes based on social situations inferred from ubiquitous device data. This solution does not focus on the diagnosis of mental states, but works on identifying situations of interest to specialized professionals. The proposed solution consists of an algorithm based on frequent pattern mining and complex event processing to detect periods of the day in which the individual usually socializes. Social routine recognition is performed under different context conditions to differentiate abnormal social behaviors from the variation of usual social habits. The proposed solution also can detect abnormal behavior and routine changes. This solution uses fuzzy logic to model the knowledge of the mental health specialist necessary to identify the occurrence of behavioral change. Evaluation results show that the prediction performance of the identified context-aware sociability patterns has strong positive relation (Pearson's correlation coefficient >70%) with individuals' social routine. Finally, the evaluation conducted recognized that the proposed solution leading to the identification of abnormal social behaviors and social routine changes consistently.

Mental health ubiquitous monitoring supported by social situation awareness: A systematic review.

Traditionally, the process of monitoring and evaluating social behavior related to mental health has based on self-reported information, which is limited by the subjective character of responses and various cognitive biases. Today, however, there is a growing amount of studies that have provided methods to objectively monitor social behavior through ubiquitous devices and have used this information to support mental health services. In this paper, we present a Systematic Literature Review (SLR) to identify, analyze and characterize the state of the art about the use of ubiquitous devices to monitor users' social behavior focused on mental health. For this purpose, we performed an exhaustive literature search on the six main digital libraries. A screening process was conducted on 160 peer-reviewed publications by applying suitable selection criteria to define the appropriate studies to the scope of this SLR. Next, 20 selected studies were forwarded to the data extraction phase. From an analysis of the selected studies, we recognized the types of social situations identified, the process of transforming contextual data into social situations, the use of social situation awareness to support mental health monitoring, and the methods used to evaluate proposed solutions. Additionally, we identified the main trends presented by this research area, as well as open questions and perspectives for future research. Results of this SLR showed that social situation-aware ubiquitous systems represent promising assistance tools for patients and mental health professionals. However, studies still present limitations in methodological rigor and restrictions in experiments, and solutions proposed by them have limitations to be overcome.

Os benefícios da eletroestimulação transcutânea via nervo tibial posterior e parassacral no tratamento de bexiga hiperativa / The benefits of transcutaneous electrostimulation via the posterior tibial and parasacral nerves in the treatment of overactive bladder

Introdução: A fisioterapia é uma das possibilidades de tratamento para hiperatividade do detrusor e um dos recursos que se destacam é a eletroestimulação transcutânea. Objetivos: Comparar os benefícios da eletroestimulação transcutânea via nervo tibial posterior com a via parassacral na sintomatologia e na qualidade de vida. Métodos: Trata-se de um ensaio clínico randomizado com amostra de 15 mulheres, subdivididas em dois grupos, realizado na clínica escola de fisioterapia da EMESCAM, duas vezes por semana, totalizando vinte sessões. Resultados: Observou-se relevância estatística em ambos os grupos nos itens qualidade de vida e frequência miccional diurna. No entanto, quando avaliados os sintomas de urge-incontinência somente o grupo de eletroestimulação transcutânea do nervo tibial posterior apresentou melhora significativa e quando comparados entre si não houve diferença estatística. No que diz respeito ao sintoma de noctúria, estatisticamente não houve melhora nos dois grupos. Conclusão: Conclui-se que os resultados obtidos com esse estudo foram estatisticamente relevantes na melhora sintomatológica e qualidade de vida de ambos os grupos, no entanto o grupo ETNTP obteve resultados mais satisfatórios quando comparado ao grupo ETP. (AU)

Introduction: One of the possibilities of treatment for detrusor hyperactivity is physiotherapy, and one of the features that stands out is transcutaneous electrostimulation. Objectives: Comparing the influence of electrostimulation transcutaneous posterior tibial nerve with parasacral transcutaneous electrostimulation in symptomatology and quality of life. Methods: This is an applied, explanatory and experimental study with a sample of 15 women, subdivided into two groups, performed at the clinic physiotherapy school of EMESCAM, twice a week, totaling twenty sessions. Results: We observed a statistical relevance in both groups in the items of quality of life and diurnal voiding frequency. However, when the urge-incontinence symptoms were evaluated, only the transcutaneous electrostimulation group of the posterior tibial nerve showed a significant improvement and when compared (with each other) there was no statistical difference. Regarding the nocturia symptom, we did not observe statistically improvement in the two groups. Conclusion: We concluded that the results obtained with this study were statistically relevant in the improvement of the symptoms and quality of life of both groups, however the TSPTN group obtained more satisfactory results when compared to the PTS group. (AU)

A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications.

Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT) infrastructure, allowing a better perception of the user's physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT) suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC) is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time) or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time). Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i) quality of context provisioning; (ii) quality of context monitoring; (iii) support for heterogeneous device and technology management; (iv) support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i) a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii) a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed using the proposed middleware. This case study highlights how middleware components were used to meet the quality of context requirements of the application. In addition, the proposed middleware was compared to other solutions in the literature.

Impact of delayed pancreatic graft function in simultaneous pancreas-kidney transplantation.

OBJECTIVE: Simultaneous pancreas-kidney transplantation is an effective treatment for patients with type 1 diabetes mellitus and end-stage chronic kidney disease. Delayed pancreatic graft function is a common and multifactor condition with significant impact in short-term outcome of simultaneous pancreas-kidney transplantations. The aim of this study was to analyze the impact of pancreatic delayed pancreatic graft function on simultaneous pancreas-kidney transplantation. METHODS: Donor and recipient's demographic data, percentage of panel reactivity, acute rejection incidence, and patient and grafts survivals were retrospectively analyzed in 180 SPKT performed between 2002 and 2007. RESULTS: The incidence of pancreatic delayed pancreatic graft function was 11%. Donors older than 45 years had significant risk of pancreatic delayed pancreatic graft function (OR 2.26; p < 0,05). Patients with pancreatic delayed pancreatic graft function had higher rates of acute renal rejection (47 versus 24%; p < 0.05), altered fasting plasma glucose (25 versus 5%; p < 0.05) and mean glycated hemoglobin (5.8 versus 5.4%; p < 0.05), than patients without pancreatic delayed pancreatic graft function at the end of the first year of follow up. There were no significant differences between patients with and without pancreatic delayed pancreatic graft function regarding patient survival (95 versus 88.7%; p = 0.38), pancreatic graft survival (90 versus 85.6%; p = 0.59) and renal graft survival (90 versus 87.2%; p = 0.70), respectively at the sample period of time. CONCLUSION: Pancreatic delayed pancreatic graft function had no significant impact in the short-term outcome of simultaneous pancreas-kidney transplantations. Although delayed pancreatic graft function had no impact on 1-year pancreas graft survival, it contributed to early pancreas graft dysfunction, as assessed by enhanced insulin and oral anti-diabetic drugs requirements.

Impacto da função retardada do enxerto pancreático no transplante simultâneo pâncreas-rim / Impact of delayed pancreatic graft function in simultaneous pancreas-kidney transplantation

OBJETIVO: O transplante pâncreas-rim é efetivo para pacientes com doença renal crônica terminal e diabetes mellitus insulino-dependente. A função retardada do enxerto pancreático é condição frequente exercendo impacto significativo nos resultados em curto prazo dos transplantes pâncreas-rim. O objetivo foi analisar o impacto da função retardada do enxerto pancreático no transplante pâncreas-rim. MÉTODOS: Análise retrospectiva de 180 receptores de transplante pâncreas-rim, incluindo dados demográficos dos doadores e dos receptores, a reatividade contra painel, a incidência de rejeição aguda e as sobrevidas do paciente e dos enxertos pancreático e renal. RESULTADOS: A incidência de função retardada do enxerto pancreático foi 11 por cento. A idade do receptor superior a 45 anos apresentou associação com o risco de desenvolvimento de função retardada do enxerto pancreático (Razão de chances 2,26; p < 0,05). Os pacientes com função retardada do enxerto pancreático apresentaram maior incidência de rejeição aguda renal (47 versus 24 por cento; p < 0,05), glicemia de jejum alterada (25 versus 5 por cento; p < 0,05) e média de hemoglobina glicada (5,8 versus 5,4 por cento; p < 0,05) ao final do primeiro ano de acompanhamento em relação aos pacientes sem função retardada do enxerto pancreático. Não houve diferenças estatisticamente significativas entre os grupos de pacientes com e sem função retardada do enxerto pancreático quanto à sobrevida do paciente (95 versus 88,7 por cento; p = 0,38), do enxerto pancreático (90 versus 85,6 por cento; p = 0,59) e do enxerto renal (90 versus 87,2 por cento; p = 0,70), respectivamente, nesse mesmo período. CONCLUSÃO: A função retardada do enxerto pancreático não exerceu impacto significativo nos resultados em curto prazo dos transplantes pâncreas-rim desta casuística...

OBJECTIVE: Simultaneous pancreas-kidney transplantation is an effective treatment for patients with type 1 diabetes melli>tus and end-stage chronic kidney disease. Delayed pancreatic graft function is a common and multifactor condition with significant impact in short-term outcome of simultaneous pancreas-kidney transplantations. The aim of this study was to analyze the impact of pancreatic delayed pancreatic graft function on simultaneous pancreas-kidney transplantation. METHODS: Donor and recipient's demographic data, percentage of panel reactivity, acute rejection incidence, and patient and grafts survivals were retrospectively analyzed in 180 SPKT performed between 2002 and 2007. RESULTS: The incidence of pancreatic delayed pancreatic graft function was 11 percent. Donors older than 45 years had significant risk of pancreatic delayed pancreatic graft function (OR 2.26; p < 0,05). Patients with pancreatic delayed pancreatic graft function had higher rates of acute renal rejection (47 versus 24 percent; p < 0.05), altered fasting plasma glucose (25 versus 5 percent; p < 0.05) and mean glycated hemoglobin (5.8 versus 5.4 percent; p < 0.05), than patients without pancreatic delayed pancreatic graft function at the end of the first year of follow up. There were no significant differences between patients with and without pancreatic delayed pancreatic graft function regarding patient survival (95 versus 88.7 percent; p = 0.38), pancreatic graft survival (90 versus 85.6 percent; p = 0.59) and renal graft survival (90 versus 87.2 percent; p = 0.70), respectively at the sample period of time. CONCLUSION: Pancreatic delayed pancreatic graft function had no significant impact in the short-term outcome of simultaneous pancreas-kidney transplantations. Although delayed pancreatic graft function had no impact on 1-year pancreas graft survival, it contributed to early pancreas graft dysfunction, as assessed by enhanced insulin and oral anti-diabetic drugs requirements.