Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 1kclcompbio
MindTech is a NIHR Healthcare Technology Co-operative focused on accelerating the development and adoption of innovative mental healthcare technologies. It aims to transform service delivery, enhance the patient experience, and improve outcomes through needs-led technology development with partners like patients, industry, and researchers. MindTech focuses on clinical areas like mood disorders, neurodevelopmental disorders, and dementia, and brings together experts from psychiatry, computer science, and other fields to work on technologies and their implementation.
Zina Ibrahim - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Sean Maskey - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Michael Lynskey - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Richard Jackson - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 2kclcompbio
MindTech is an organization that can offer various services related to mental health technologies, including clinical and user perspectives, research expertise, governance and funding advice, and access to the NHS. They have expertise in areas like facial analysis, ambient patient monitoring, app development, serious games, and more. Their research approach involves identifying clinical problems, developing technological solutions, evaluating clinical and cost effectiveness, and disseminating solutions in the NHS. They collaborate with various partners like academics, SMEs, NHS trusts, and patients. They are working on projects involving technologies like e-mental health apps, online therapy, ambient monitoring, neuromodulation, serious games, and more to address issues like treatment adherence, assessment/diagnosis,
Will Spooner - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Amos Folarin - Big Data in Mental Health - 23rd July 2014kclcompbio
This document discusses using wearable and mobile phone sensors to automatically track sleep for clinical purposes. It notes that current clinical devices are expensive and limited, while consumer devices like Fitbit are cheaper but have shorter battery life. Mobile phones have a wide range of sensors. The document proposes using a mobile phone linked to a wearable monitor like Fitbit for self-monitoring, measuring treatment response, triggering interventions, and stratifying patients in clinical trials. It describes collecting sensor data from Fitbit and a mobile phone, preprocessing the data, and using machine learning to classify sleep and wake states from the sensor readings in order to automatically measure sleep duration and quality.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 1kclcompbio
MindTech is a NIHR Healthcare Technology Co-operative focused on accelerating the development and adoption of innovative mental healthcare technologies. It aims to transform service delivery, enhance the patient experience, and improve outcomes through needs-led technology development with partners like patients, industry, and researchers. MindTech focuses on clinical areas like mood disorders, neurodevelopmental disorders, and dementia, and brings together experts from psychiatry, computer science, and other fields to work on technologies and their implementation.
Zina Ibrahim - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Sean Maskey - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Michael Lynskey - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Richard Jackson - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Chris Hollis - Big Data in Mental Health - 23rd July 2014 - 2kclcompbio
MindTech is an organization that can offer various services related to mental health technologies, including clinical and user perspectives, research expertise, governance and funding advice, and access to the NHS. They have expertise in areas like facial analysis, ambient patient monitoring, app development, serious games, and more. Their research approach involves identifying clinical problems, developing technological solutions, evaluating clinical and cost effectiveness, and disseminating solutions in the NHS. They collaborate with various partners like academics, SMEs, NHS trusts, and patients. They are working on projects involving technologies like e-mental health apps, online therapy, ambient monitoring, neuromodulation, serious games, and more to address issues like treatment adherence, assessment/diagnosis,
Will Spooner - Big Data in Mental Health - 23rd July 2014kclcompbio
Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
Amos Folarin - Big Data in Mental Health - 23rd July 2014kclcompbio
This document discusses using wearable and mobile phone sensors to automatically track sleep for clinical purposes. It notes that current clinical devices are expensive and limited, while consumer devices like Fitbit are cheaper but have shorter battery life. Mobile phones have a wide range of sensors. The document proposes using a mobile phone linked to a wearable monitor like Fitbit for self-monitoring, measuring treatment response, triggering interventions, and stratifying patients in clinical trials. It describes collecting sensor data from Fitbit and a mobile phone, preprocessing the data, and using machine learning to classify sleep and wake states from the sensor readings in order to automatically measure sleep duration and quality.
This PPT aims to help the learner to give insight about Multiple Disabilities, Types of Multiple Disabilities, Causes of Multiple Disabilities, Treatment for Multiple Disabilities, Teaching Method of Multiple Disabilities.
A look at how mental health treatment and research have evolved over the last 10 years and about future possibilities for more effective, personalized treatment approaches.
with Dr. Zul Merali, President and CEO, The Royal's Institute of Mental Health Research
This document provides an overview of the neuropsychiatric aspects of epilepsy. It defines key terms like seizure and epilepsy and discusses classifications of seizures and epilepsies. It covers the prevalence, etiology, investigations, and various neuropsychiatric aspects of epilepsy like disorders related to seizure occurrence such as preictal, ictal, peri-ictal, and postictal. It also discusses management approaches aimed at adequate seizure control and patient safety.
Epilepsy is a neurological condition characterized by recurrent seizures caused by sudden bursts of electrical activity in the brain. There are two main types of seizures - generalized seizures which affect the whole brain, and focal seizures which affect one area. Epilepsy is typically diagnosed after a person experiences two or more seizures. Treatment options include anti-epileptic drugs, the ketogenic diet, vagus nerve stimulation, and in some cases brain surgery.
Preliminary Diagnostic System for Endocrine related diseasesandreigumabao
This document provides background information on developing a preliminary diagnostic system for endocrine diseases. It discusses diabetes and thyroid disorders, which can cause nail discoloration, brittleness, and other changes. Previous research has found glycated keratin in fingernails can indicate tissue damage in diabetic patients. The objectives of this study are to design a prototype diagnostic system that captures fingernail images and temperature, analyzes for possible diabetes or thyroidism, and prints/emails results. The scope is limited to these two diseases and depends on severity levels for accuracy.
A PROPOSED NEURO-FUZZY MODEL FOR ADULT ASTHMA DISEASE DIAGNOSIScscpconf
The task of medical diagnosis with the help different intelligent system techniques is always crucial because it require high level of accuracy and less time consumption in decision making.
Among all other AI techniques Artificial Neural Networks (ANN) as a tool for medical diagnosis has become the most popular in last few decades due to its flexibility and accuracy. ANN was
developed after getting the inspiration from biological neurons. There are various diseases that are still needed to be diagnosed. Among many other critical diseases like cancer, thyroid disorder, diabetes, heart diseases, neuro diseases, asthma disease was also tried to bediagnosed
effectively with various ANN mechanisms by different researchers. Due to various uncertainties about symptoms the study of Neuro-Fuzzy technique in this context became very popular in last few years. Neuro-Fuzzy now-a-days is one of the most advanced technique that is mainly concatenation of two model-neural networks and the fuzzy logic. In this model various
parameters are used that are much crucial if ill-chosen and may led to failure of the whole system. Recent trend in analysis is following this model for advanced expert work. In this study
an enhanced Neuro-fuzzy model has been proposed for the proper diagnosis of adult Asthma disease and to foster the proper aid or medication to the patients and make physicians alert forthe upcoming disease pattern otherwise they may lack in the process of providing improper medication at right time. In the first phase data collected from various hospitals are used to
train by three different types of learning of ANN like ANN with Self Organizing Maps (SOM),ANN with Learning Vector Quantization (LVQ) and ANN with Backpropagation Algorithm
(BPA) through NF tool for much accurate result. In the second phase fuzzy rule base is appliedto the classified data for the diagnosis of the disease.
The document discusses acute mental status changes that can occur in intensive care unit patients. It describes conditions like delirium, decreased levels of consciousness, and their causes. Delirium is the most common disorder and results from factors like infection, medications, electrolyte imbalances, and pre-existing dementia. The document recommends screening patients for delirium regularly using tools like the Confusion Assessment Method, and treating underlying causes and symptoms with antipsychotics like haloperidol. Delirium is associated with increased mortality, length of stay, and long-term cognitive impairment.
Chair, Richard K. Bogan, MD, FCCP, FAASM, prepared useful Practice Aids pertaining to narcolepsy and idiopathic hypersomnia for this CME activity titled “Managing Disorders of Hypersomnolence: Reducing Patient Burdens, Protecting Patient Health.” For the full presentation, downloadable Practice Aids, and complete CME information, and to apply for credit, please visit us at https://bit.ly/3vX3ZTY. CME credit will be available until November 3, 2023.
This document reviews techniques for predicting epileptic seizures. It discusses how seizure prediction could improve quality of life for epilepsy patients by allowing them to avoid dangerous situations. The document outlines different types of seizures and classification systems. It reviews literature on using sensors and video analysis to detect seizures. Effective prediction is important for clinical management to increase treatment effectiveness and prevent injuries from unexpected seizures.
Japanese Encephalitis NVBDCP- Dr Subhasish PaulSubhasish Paul
Japanese encephalitis is a leading cause of viral encephalitis in Asia. It is caused by a flavivirus transmitted by Culex mosquitoes, with pigs and wading birds acting as amplifying hosts. The disease predominantly affects children under 15 and causes neurological sequelae or death. Integrated prevention strategies include surveillance, case management, vector control through larviciding and indoor residual spraying, vaccination, and behavior change communication. Two types of vaccines are used - mouse brain-derived inactivated vaccines requiring multiple doses, and cell culture-derived live attenuated vaccines providing longer-term protection with fewer doses.
This document discusses anxiety disorders and provides information on their definition, symptoms, types, epidemiology, course, and treatment. The main types of anxiety disorders covered are generalized anxiety disorder, panic disorder, phobic disorders including agoraphobia and social phobia, obsessive-compulsive disorder, and post-traumatic stress disorder. The document also outlines physical and psychological symptoms of anxiety, as well as biological and psychological factors contributing to anxiety disorders. Common treatment approaches discussed include pharmacotherapy using benzodiazepines, antidepressants, and SSRIs, as well as psychotherapy techniques such as cognitive-behavioral therapy and exposure therapy.
Sleep apnea is a serious sleep disorder where breathing stops and restarts many times during sleep, preventing the body from getting enough oxygen. It is most commonly caused by the soft tissue in the back of the throat collapsing and blocking the airway during sleep. Left untreated, sleep apnea can cause loud snoring, daytime tiredness, and increase the risk of heart problems and high blood pressure. It can be diagnosed through a sleep study or home sleep test and treated through lifestyle changes or devices like CPAP machines.
Phantom vibration syndrome is a tactile hallucination where a person feels their mobile phone vibrating or ringing when it is not. The document discusses that PVS is associated with frequent mobile phone use and psychological factors like anxiety. It notes several studies that found a high prevalence of PVS, especially among frequent phone users. Potential risk factors include occupation, device location, and frequent use. Management involves reducing phone reliance and use of vibration/ringer. While there is no cure, relaxation techniques and lifestyle changes can help reduce symptoms.
Japanese encephalitis is a mosquito-borne viral disease that affects humans and animals. It is caused by the Japanese encephalitis virus and transmitted by Culex mosquitoes. The virus is maintained in an enzootic cycle between mosquitoes and amplifying hosts like pigs and wading birds. Humans and horses are incidental dead-end hosts. Most human infections are asymptomatic, but severe cases can cause encephalitis with high mortality and neurological sequelae. Diagnosis involves virus isolation from CSF or serum antibody detection. There is no treatment other than supportive care. Prevention strategies include vector control, vaccination of pigs and humans, and personal protective measures. In India, the government conducts JE surveillance, diagnosis,
Assessing uMotif’s smartphone based Parkinson’s wellbeing trackerCaspar Addyman
The current research evaluates a new smartphone app designed to help people with Parkinson’s Disease manage their medication & improve their health behaviours through self-tracking. We found that self-tracking leads to
- Improved medication adherence
– Improved health behaviours (water & exercise)
– Improved well being (mood, sleep & energy)
Poster presented at World Parkinson Congress, Montréal, Oct 2013
An acute medical condition.
Common in UK critical care patients.
Serious adverse outcomes.
Bedside diagnosis.
Maybe the first sign of a new infection.
Pathological, not psychological.
Cerebral palsy is a group of disorders that affect movement and posture due to non-progressive disturbances in the developing fetal or infant brain. The incidence of cerebral palsy has remained around 2-2.5 cases per 1000 live births for over 40 years. Cerebral palsy can be caused by genetic and developmental factors as well as infections, prematurity, and injuries during the prenatal, intrapartum, and postnatal periods. The main types of cerebral palsy include spastic, dyskinetic, ataxic, and mixed. Management involves medical treatment, surgery, and rehabilitative therapies like physical, occupational and speech therapy. The prognosis depends on the severity of symptoms and early
This document discusses multiple sclerosis, a disease that affects the central nervous system by causing the body's immune system to attack the protective myelin sheath covering nerve fibers in the brain and spinal cord. It can cause issues with vision, muscle control, balance and other functions. The document covers the types of MS, causes, risk factors, symptoms, and methods of diagnosis, including MRI scans and spinal taps to check for biomarkers of the disease in the cerebrospinal fluid.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET- Portable Supporting Device for Narcoleptic PatientsIRJET Journal
This document describes a portable supporting device for patients with narcolepsy. The device uses an EEG sensor to constantly monitor brain waves and detect the onset of narcoleptic sleep. When sleep onset is detected, the device prevents sleep by providing external disturbances through vibration motors, alerting the patient. A study showed the EEG technique could accurately detect sleep onset 87.5% of the time compared to polysomnography. The portable device allows independent monitoring of narcoleptic patients to prevent dangers from unexpected sleep episodes.
The document discusses data requirements and standards for human tissue biobanks. It outlines regulations for inspecting statutory records related to human tissue under the Human Tissue Act. It also describes standards set by the Human Tissue Authority and National Cancer Research Institute for collecting and managing participant data, staff training, documentation, and quality assurance in biobanks. Historical issues with varying consent forms are discussed, as are efforts to standardize data sharing between biobanks through initiatives like MIABIS and the NCRI Biobank Data Standard. Progress on a combined surgical and research consent form is also mentioned.
The document describes a BioResource - a biobank and registry of volunteers for medical research. It aims to collect clinical and biological data from 50,000 volunteers by 2017 to better understand psychiatric and neurological illnesses. Having this large pre-established library will allow valuable research to begin quickly, saving time and money compared to traditional volunteer recruitment. The multi-disciplinary team leads collection efforts across several hospitals and clinics to recruit a diverse pool of volunteers. Researchers can then apply to anonymously use data or conduct follow-up studies with selected volunteers.
More Related Content
Similar to Maxim Osipov - Big Data in Mental Health - 23rd July 2014
This PPT aims to help the learner to give insight about Multiple Disabilities, Types of Multiple Disabilities, Causes of Multiple Disabilities, Treatment for Multiple Disabilities, Teaching Method of Multiple Disabilities.
A look at how mental health treatment and research have evolved over the last 10 years and about future possibilities for more effective, personalized treatment approaches.
with Dr. Zul Merali, President and CEO, The Royal's Institute of Mental Health Research
This document provides an overview of the neuropsychiatric aspects of epilepsy. It defines key terms like seizure and epilepsy and discusses classifications of seizures and epilepsies. It covers the prevalence, etiology, investigations, and various neuropsychiatric aspects of epilepsy like disorders related to seizure occurrence such as preictal, ictal, peri-ictal, and postictal. It also discusses management approaches aimed at adequate seizure control and patient safety.
Epilepsy is a neurological condition characterized by recurrent seizures caused by sudden bursts of electrical activity in the brain. There are two main types of seizures - generalized seizures which affect the whole brain, and focal seizures which affect one area. Epilepsy is typically diagnosed after a person experiences two or more seizures. Treatment options include anti-epileptic drugs, the ketogenic diet, vagus nerve stimulation, and in some cases brain surgery.
Preliminary Diagnostic System for Endocrine related diseasesandreigumabao
This document provides background information on developing a preliminary diagnostic system for endocrine diseases. It discusses diabetes and thyroid disorders, which can cause nail discoloration, brittleness, and other changes. Previous research has found glycated keratin in fingernails can indicate tissue damage in diabetic patients. The objectives of this study are to design a prototype diagnostic system that captures fingernail images and temperature, analyzes for possible diabetes or thyroidism, and prints/emails results. The scope is limited to these two diseases and depends on severity levels for accuracy.
A PROPOSED NEURO-FUZZY MODEL FOR ADULT ASTHMA DISEASE DIAGNOSIScscpconf
The task of medical diagnosis with the help different intelligent system techniques is always crucial because it require high level of accuracy and less time consumption in decision making.
Among all other AI techniques Artificial Neural Networks (ANN) as a tool for medical diagnosis has become the most popular in last few decades due to its flexibility and accuracy. ANN was
developed after getting the inspiration from biological neurons. There are various diseases that are still needed to be diagnosed. Among many other critical diseases like cancer, thyroid disorder, diabetes, heart diseases, neuro diseases, asthma disease was also tried to bediagnosed
effectively with various ANN mechanisms by different researchers. Due to various uncertainties about symptoms the study of Neuro-Fuzzy technique in this context became very popular in last few years. Neuro-Fuzzy now-a-days is one of the most advanced technique that is mainly concatenation of two model-neural networks and the fuzzy logic. In this model various
parameters are used that are much crucial if ill-chosen and may led to failure of the whole system. Recent trend in analysis is following this model for advanced expert work. In this study
an enhanced Neuro-fuzzy model has been proposed for the proper diagnosis of adult Asthma disease and to foster the proper aid or medication to the patients and make physicians alert forthe upcoming disease pattern otherwise they may lack in the process of providing improper medication at right time. In the first phase data collected from various hospitals are used to
train by three different types of learning of ANN like ANN with Self Organizing Maps (SOM),ANN with Learning Vector Quantization (LVQ) and ANN with Backpropagation Algorithm
(BPA) through NF tool for much accurate result. In the second phase fuzzy rule base is appliedto the classified data for the diagnosis of the disease.
The document discusses acute mental status changes that can occur in intensive care unit patients. It describes conditions like delirium, decreased levels of consciousness, and their causes. Delirium is the most common disorder and results from factors like infection, medications, electrolyte imbalances, and pre-existing dementia. The document recommends screening patients for delirium regularly using tools like the Confusion Assessment Method, and treating underlying causes and symptoms with antipsychotics like haloperidol. Delirium is associated with increased mortality, length of stay, and long-term cognitive impairment.
Chair, Richard K. Bogan, MD, FCCP, FAASM, prepared useful Practice Aids pertaining to narcolepsy and idiopathic hypersomnia for this CME activity titled “Managing Disorders of Hypersomnolence: Reducing Patient Burdens, Protecting Patient Health.” For the full presentation, downloadable Practice Aids, and complete CME information, and to apply for credit, please visit us at https://bit.ly/3vX3ZTY. CME credit will be available until November 3, 2023.
This document reviews techniques for predicting epileptic seizures. It discusses how seizure prediction could improve quality of life for epilepsy patients by allowing them to avoid dangerous situations. The document outlines different types of seizures and classification systems. It reviews literature on using sensors and video analysis to detect seizures. Effective prediction is important for clinical management to increase treatment effectiveness and prevent injuries from unexpected seizures.
Japanese Encephalitis NVBDCP- Dr Subhasish PaulSubhasish Paul
Japanese encephalitis is a leading cause of viral encephalitis in Asia. It is caused by a flavivirus transmitted by Culex mosquitoes, with pigs and wading birds acting as amplifying hosts. The disease predominantly affects children under 15 and causes neurological sequelae or death. Integrated prevention strategies include surveillance, case management, vector control through larviciding and indoor residual spraying, vaccination, and behavior change communication. Two types of vaccines are used - mouse brain-derived inactivated vaccines requiring multiple doses, and cell culture-derived live attenuated vaccines providing longer-term protection with fewer doses.
This document discusses anxiety disorders and provides information on their definition, symptoms, types, epidemiology, course, and treatment. The main types of anxiety disorders covered are generalized anxiety disorder, panic disorder, phobic disorders including agoraphobia and social phobia, obsessive-compulsive disorder, and post-traumatic stress disorder. The document also outlines physical and psychological symptoms of anxiety, as well as biological and psychological factors contributing to anxiety disorders. Common treatment approaches discussed include pharmacotherapy using benzodiazepines, antidepressants, and SSRIs, as well as psychotherapy techniques such as cognitive-behavioral therapy and exposure therapy.
Sleep apnea is a serious sleep disorder where breathing stops and restarts many times during sleep, preventing the body from getting enough oxygen. It is most commonly caused by the soft tissue in the back of the throat collapsing and blocking the airway during sleep. Left untreated, sleep apnea can cause loud snoring, daytime tiredness, and increase the risk of heart problems and high blood pressure. It can be diagnosed through a sleep study or home sleep test and treated through lifestyle changes or devices like CPAP machines.
Phantom vibration syndrome is a tactile hallucination where a person feels their mobile phone vibrating or ringing when it is not. The document discusses that PVS is associated with frequent mobile phone use and psychological factors like anxiety. It notes several studies that found a high prevalence of PVS, especially among frequent phone users. Potential risk factors include occupation, device location, and frequent use. Management involves reducing phone reliance and use of vibration/ringer. While there is no cure, relaxation techniques and lifestyle changes can help reduce symptoms.
Japanese encephalitis is a mosquito-borne viral disease that affects humans and animals. It is caused by the Japanese encephalitis virus and transmitted by Culex mosquitoes. The virus is maintained in an enzootic cycle between mosquitoes and amplifying hosts like pigs and wading birds. Humans and horses are incidental dead-end hosts. Most human infections are asymptomatic, but severe cases can cause encephalitis with high mortality and neurological sequelae. Diagnosis involves virus isolation from CSF or serum antibody detection. There is no treatment other than supportive care. Prevention strategies include vector control, vaccination of pigs and humans, and personal protective measures. In India, the government conducts JE surveillance, diagnosis,
Assessing uMotif’s smartphone based Parkinson’s wellbeing trackerCaspar Addyman
The current research evaluates a new smartphone app designed to help people with Parkinson’s Disease manage their medication & improve their health behaviours through self-tracking. We found that self-tracking leads to
- Improved medication adherence
– Improved health behaviours (water & exercise)
– Improved well being (mood, sleep & energy)
Poster presented at World Parkinson Congress, Montréal, Oct 2013
An acute medical condition.
Common in UK critical care patients.
Serious adverse outcomes.
Bedside diagnosis.
Maybe the first sign of a new infection.
Pathological, not psychological.
Cerebral palsy is a group of disorders that affect movement and posture due to non-progressive disturbances in the developing fetal or infant brain. The incidence of cerebral palsy has remained around 2-2.5 cases per 1000 live births for over 40 years. Cerebral palsy can be caused by genetic and developmental factors as well as infections, prematurity, and injuries during the prenatal, intrapartum, and postnatal periods. The main types of cerebral palsy include spastic, dyskinetic, ataxic, and mixed. Management involves medical treatment, surgery, and rehabilitative therapies like physical, occupational and speech therapy. The prognosis depends on the severity of symptoms and early
This document discusses multiple sclerosis, a disease that affects the central nervous system by causing the body's immune system to attack the protective myelin sheath covering nerve fibers in the brain and spinal cord. It can cause issues with vision, muscle control, balance and other functions. The document covers the types of MS, causes, risk factors, symptoms, and methods of diagnosis, including MRI scans and spinal taps to check for biomarkers of the disease in the cerebrospinal fluid.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET- Portable Supporting Device for Narcoleptic PatientsIRJET Journal
This document describes a portable supporting device for patients with narcolepsy. The device uses an EEG sensor to constantly monitor brain waves and detect the onset of narcoleptic sleep. When sleep onset is detected, the device prevents sleep by providing external disturbances through vibration motors, alerting the patient. A study showed the EEG technique could accurately detect sleep onset 87.5% of the time compared to polysomnography. The portable device allows independent monitoring of narcoleptic patients to prevent dangers from unexpected sleep episodes.
Similar to Maxim Osipov - Big Data in Mental Health - 23rd July 2014 (20)
The document discusses data requirements and standards for human tissue biobanks. It outlines regulations for inspecting statutory records related to human tissue under the Human Tissue Act. It also describes standards set by the Human Tissue Authority and National Cancer Research Institute for collecting and managing participant data, staff training, documentation, and quality assurance in biobanks. Historical issues with varying consent forms are discussed, as are efforts to standardize data sharing between biobanks through initiatives like MIABIS and the NCRI Biobank Data Standard. Progress on a combined surgical and research consent form is also mentioned.
The document describes a BioResource - a biobank and registry of volunteers for medical research. It aims to collect clinical and biological data from 50,000 volunteers by 2017 to better understand psychiatric and neurological illnesses. Having this large pre-established library will allow valuable research to begin quickly, saving time and money compared to traditional volunteer recruitment. The multi-disciplinary team leads collection efforts across several hospitals and clinics to recruit a diverse pool of volunteers. Researchers can then apply to anonymously use data or conduct follow-up studies with selected volunteers.
Ryan Little - Clinical Data Linkage Servicekclcompbio
CDLS is a service at the South London and Maudsley NHS Foundation Trust that provides information governance support, data linkage, data storage, and linked data extraction for research projects. It acts as an impartial third party to facilitate linking and sharing data securely. Some of the key services it offers include determining ethics and legal approvals for projects, linking clinical records from SLaM's mental health database to other datasets like hospital and mortality records, and securely storing and anonymizing linked data for analysis.
The document outlines the aims and approach to ensuring ethical and secure access to clinical records from the South London and Maudsley NHS Foundation Trust for research purposes through a system called CRIS. A dedicated security team was established to develop an opt-out anonymization model where all identifying information would be removed or modified and patients could opt out of having their data included. A communication plan was also put in place to inform patients and clinicians about the system and their right to opt out. The model was then approved by the required ethics boards and security standards were implemented before being expanded to other health providers.
Veronica Howe - Research Data Managementkclcompbio
This document discusses research data management at King's College London. It provides statistics on how grants and researchers currently manage data in terms of storage, volume, and plans after projects. Challenges for students and researchers managing data are also presented. The benefits of effective research data management are outlined as ensuring availability, demonstrating relevance, boosting reputation, and more. A table shows the current and ideal activities at each stage of the research process from concept to post-publication. Contact details are provided for the Research Data Manager to assist with data management questions.
Anne Cameron - An Introduction to the Data Protection Act for Researcherskclcompbio
This document provides an overview of the UK Data Protection Act for researchers. It discusses what constitutes personal and sensitive data, the responsibilities of data controllers and subjects, and the 8 data protection principles. Researchers must obtain proper consent, securely store data, only retain it as long as necessary, and ensure proper reuse and destruction. Anonymization and sharing data requires careful handling. The university's policies on research governance, ethics, information security and records management must also be followed. Failure to comply with these standards could result in sanctions from the Information Commissioner's Office.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Adhd Medication Shortage Uk - trinexpharmacy.comreignlana06
The UK is currently facing a Adhd Medication Shortage Uk, which has left many patients and their families grappling with uncertainty and frustration. ADHD, or Attention Deficit Hyperactivity Disorder, is a chronic condition that requires consistent medication to manage effectively. This shortage has highlighted the critical role these medications play in the daily lives of those affected by ADHD. Contact : +1 (747) 209 – 3649 E-mail : sales@trinexpharmacy.com
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Identification and nursing management of congenital malformations .pptx
Maxim Osipov - Big Data in Mental Health - 23rd July 2014
1. DEPARTMENT OF ENGINEERING SCIENCE
INSTITUTE OF BIOMEDICAL ENGINEERING
CENTRE FOR DOCTORAL TRAINING IN HEALTHCARE INNOVATION
July 23, 2014
FROM QUESTIONNAIRES TO
OBJECTIVE DATA
CONTINUOUS MONITORING OF MANIA AND
DEPRESSION SYMPTOMS USING MOBILE
PHONE SENSORS
Maxim Osipov
supervised by Prof. Gari Clifford
and Dr. David Clifton
3. Symptoms
Dimensions of
Psychopathology*
Reality distortion
Hallucinations, Delusions
Poverty
Flat affect, Poverty
of speech*,
Decreased
voluntary motor
activity*
Depression
Low mood, Low self-
esteem,
Hopelessness,
Suicidality, Somatic
symptoms*
Disorganization
Formal thought disorder,
Inappropriate affect, Disorganized
or bizarre behavior*
Anxiety
Feelings of unease, fear* or dread,
Overactivity of the sympathetic nervous
system*
* Symptoms can be detected
using activity, cardiovascular or
electrodermal monitoring
Psychomotor
Excitation
Labile affect,
Pressure of
speech*,
Motor agitation*
Mood
Elation
Elevated mood,
Elevated self-
esteem, Decreased
need for sleep*
* P. F. Liddle, Disordered mind and brain: The neural basis of mental symptoms.
4. Bipolar disorder
Bipolar Disorder
Lifetime prevalence of ~1.5%
Peak age of first episode onset
is in the teens or twenties
20x increase in risk of suicide
“Cyclical” illness, ~10% have 4
or more episodes per year
* DSM-IV
Management
Medication to prevent episodes
of mania and depression
Medication to treat the main
symptoms
Psychological treatment
Detecting warning signs helps
with better treatment
6. Depression and Mania (QIDS & ASRM)
1. Falling Asleep *
2. Sleep During the Night *
3. Waking Up Too Early *
4. Sleeping Too Much *
5. Feeling Sad
6,7. Increased / Decreased Appetite
8,9. Increased / Decreased Weight
10. Concentration / Decision Making
11. View of Myself
12. Thoughts of Death or Suicide
13. General Interest
14. Energy Level *
15. Feeling Slowed Down *
16. Feeling Restless *
1. Happiness
2. Self-confidence
3. Need for Sleep *
4. Talk More *
5. Being More Active *
* Can be measured objectively, using mobile or wearable devices.
14. Acknowledgments
Hill Foundation Scholarship
RCUK Digital Economy Programme grant number EP/G036861/1
(Oxford Centre for Doctoral Training in Healthcare Innovation)
Wellcome Trust Centre Grant No. 098461/Z/12/Z (Sleep, Circadian
Rhythms and Neuroscience Institute)
EPSRC grant EP/K020161/1 (Multiscale markers of circadian rhythm
changes for monitoring of mental health)
15. Acknowledgments - AmoSS Team
Prof. Gari Clifford
Prof. Guy Goodwin
Dr. Athanasios Tsanas
Dr. Amy Bilderbeck
Dr. Kate Saunders
Niclas Palmius