78,276 research outputs found
GUI system for Elders/Patients in Intensive Care
In the old age, few people need special care if they are suffering from
specific diseases as they can get stroke while they are in normal life routine.
Also patients of any age, who are not able to walk, need to be taken care of
personally but for this, either they have to be in hospital or someone like
nurse should be with them for better care. This is costly in terms of money and
man power. A person is needed for 24x7 care of these people. To help in this
aspect we purposes a vision based system which will take input from the patient
and will provide information to the specified person, who is currently may not
in the patient room. This will reduce the need of man power, also a continuous
monitoring would not be needed. The system is using MS Kinect for gesture
detection for better accuracy and this system can be installed at home or
hospital easily. The system provides GUI for simple usage and gives visual and
audio feedback to user. This system work on natural hand interaction and need
no training before using and also no need to wear any glove or color strip.Comment: In proceedings of the 4th IEEE International Conference on
International Technology Management Conference, Chicago, IL USA, 12-15 June,
201
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
One in twenty-five patients admitted to a hospital will suffer from a
hospital acquired infection. If we can intelligently track healthcare staff,
patients, and visitors, we can better understand the sources of such
infections. We envision a smart hospital capable of increasing operational
efficiency and improving patient care with less spending. In this paper, we
propose a non-intrusive vision-based system for tracking people's activity in
hospitals. We evaluate our method for the problem of measuring hand hygiene
compliance. Empirically, our method outperforms existing solutions such as
proximity-based techniques and covert in-person observational studies. We
present intuitive, qualitative results that analyze human movement patterns and
conduct spatial analytics which convey our method's interpretability. This work
is a step towards a computer-vision based smart hospital and demonstrates
promising results for reducing hospital acquired infections.Comment: Machine Learning for Healthcare Conference (MLHC
Real-time sweat pH monitoring based on a wearable chemical barcode micro-fluidic platform incorporating ionic liquids
This work presents the fabrication, characterisation and the performance of a wearable, robust, flexible
and disposable chemical barcode device based on a micro-fluidic platform that incorporates ionic
liquid polymer gels (ionogels). The device has been applied to the monitoring of the pH of sweat in
real time during an exercise period. The device is an ideal wearable sensor for measuring the pH of
sweat since it does not contents any electronic part for fluidic handle or pH detection and because it can
be directly incorporated into clothing, head- or wristbands, which are in continuous contact with the
skin. In addition, due to the micro-fluidic structure, fresh sweat is continuously passing through the sensing area providing the capability to perform continuous real time analysis. The approach presented here ensures immediate feedback regarding sweat composition. Sweat analysis is attractive for monitoring purposes as it can provide physiological information directly relevant to the health and performance of the wearer without the need for an invasive sampling approac
Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations
Fully automated decoding of human activities and intentions from direct
neural recordings is a tantalizing challenge in brain-computer interfacing.
Most ongoing efforts have focused on training decoders on specific, stereotyped
tasks in laboratory settings. Implementing brain-computer interfaces (BCIs) in
natural settings requires adaptive strategies and scalable algorithms that
require minimal supervision. Here we propose an unsupervised approach to
decoding neural states from human brain recordings acquired in a naturalistic
context. We demonstrate our approach on continuous long-term
electrocorticographic (ECoG) data recorded over many days from the brain
surface of subjects in a hospital room, with simultaneous audio and video
recordings. We first discovered clusters in high-dimensional ECoG recordings
and then annotated coherent clusters using speech and movement labels extracted
automatically from audio and video recordings. To our knowledge, this
represents the first time techniques from computer vision and speech processing
have been used for natural ECoG decoding. Our results show that our
unsupervised approach can discover distinct behaviors from ECoG data, including
moving, speaking and resting. We verify the accuracy of our approach by
comparing to manual annotations. Projecting the discovered cluster centers back
onto the brain, this technique opens the door to automated functional brain
mapping in natural settings
Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population
Article approval pendingPaediatric radiology requires dedicated equipment, specific precautions related to ionising radiation, and specialist knowledge. Developing countries face difficulties in providing adequate imaging services for children. In many African countries, children represent an increasing proportion of the population, and additional challenges follow from extreme living conditions, poverty, lack of parental care, and exposure to tuberculosis, HIV, pneumonia, diarrhoea and violent trauma. Imaging plays a critical role in the treatment of these children, but is expensive and difficult to provide. The World Health Organisation initiatives, of which the World Health Imaging System for Radiography (WHIS-RAD) unit is one result, needs to expand into other areas such as the provision of maintenance servicing. New initiatives by groups such as Rotary and the World Health Imaging Alliance to install WHIS-RAD units in developing countries and provide digital solutions, need support. Paediatric radiologists are needed to offer their services for reporting, consultation and quality assurance for free by way of teleradiology. Societies for paediatric radiology are needed to focus on providing a volunteer teleradiology reporting group, information on child safety for basic imaging, guidelines for investigations specific to the disease spectrum, and solutions for optimising imaging in children
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