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https://www.readbyqxmd.com/read/28227969/effects-of-lower-limb-electrical-stimulation-on-trunk-stability-in-persons-with-sci-during-walking-a-case-series
#1
Kamyar Momeni, Stephen Canton, Arvind Ramanujam, Erica Garbarini, Gail F Forrest, Kamyar Momeni, Stephen Canton, Arvind Ramanujam, Erica Garbarini, Gail F Forrest, Arvind Ramanujam, Gail F Forrest, Kamyar Momeni, Stephen Canton, Erica Garbarini
The purpose of the present case series was to investigate whether three lower limb rehabilitation training approaches have any effects on trunk stability of persons with motor complete SCI during a 10-minute assisted walk. These trainings included electrical stimulation (ES), standing retraining (SRT), and a novel multi-modality approach that combined ES with SRT. We observed that multi-muscle ES directed at the lower limbs had a prominent, indirect effect on the upper and lower muscles of the trunk. More specifically, trunk muscle activations of the ES+SRT subject increased after training for the more distal muscles of the trunk...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227962/personalization-of-noneeg-based-seizure-detection-systems
#2
D Cogan, M Heydarzadeh, M Nourani, D Cogan, M Heydarzadeh, M Nourani, M Heydarzadeh, D Cogan, M Nourani
Seizures affect each patient differently, so personalization is a vital part of developing a reliable nonEEG based seizure detection system. This personalization must be done while the patient is undergoing video EEG monitoring in an epilepsy monitoring unit (EMU) because seizure detection by EEG is considered to be the ground truth. We propose the use of confidence interval analysis for determining how many seizures must be captured from a patient before we can reliably personalize such a seizure detection system for him/her...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227952/smartstuff-a-case-study-of-a-smart-water-bottle
#3
Emil Jovanov, Vindhya R Nallathimmareddygari, Jonathan E Pryor, Emil Jovanov, Vindhya R Nallathimmareddygari, Jonathan E Pryor, Vindhya R Nallathimmareddygari, Emil Jovanov, Jonathan E Pryor
The rapid growth of Internet of Things (IoT) and miniature wearable biosensors have generated new opportunities for personalized eHealth and mHealth services. Smart objects equipped with physiological sensors can provide robust monitoring of activities of daily living and context for wearable physiological sensors. We present a case study of an intelligent water bottle that can precisely measure the amount of liquid in the bottle, monitor activity using inertial sensors, and physiological parameters using a touch and photoplethysmographic sensor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227948/stayfit-a-wearable-application-for-gym-based-power-training
#4
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan, Rangavittal Narayanan, Vijay N Tiwari, Vivek Jilla, Aman Gaurav, Maram Maheedhar
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227913/online-learning-of-gait-models-for-calculation-of-gait-parameters
#5
Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Anton Trinh, Ryan R Mohammed, William E McIlroy, Dana Kulic, Jamie L S Waugh, Dana Kulic, Anton Trinh, William E McIlroy, Ryan R Mohammed
This paper proposes a novel approach for gait analysis from wearable sensing, based on an adaptive periodic model of any gait signal. The proposed method learns a model of the gait cycle during online measurement, using a continuous representation that can adapt to inter and intra-personal variability by creating an individualized model. Once the algorithm has converged to the input signal, key gait events can be identified relative to the estimated gait phase; these events can then be used to calculate gait parameters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227880/toward-personalized-and-context-aware-prompting-for-smartphone-based-intervention
#6
Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook, Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook, Ashley Nichole Gibson, Samaneh Aminikhanghahi, Ramin Fallahzadeh, Diane J Cook
Intervention strategies can help individuals with cognitive impairment to increase adherence to instructions, independence, and activity engagement and reduce errors on everyday instrumental activities of daily living (IADLs) and caregiver burden. However, to be effective, intervention prompts should be given at a time that does not interrupt other important user activities and is more convenient. In this paper, we propose an intelligent personalized intervention system for smartphones. In our approach, we use context and activity awareness to time prompts when they will most likely be viewed and used...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227873/a-comprehensive-reputation-mechanism-for-ubiquitous-healthcare-environment-exploiting-cloud-model
#7
Georgia Athanasiou, Dimitrios Lymberopoulos, Georgia Athanasiou, Dimitrios Lymberopoulos, Dimitrios Lymberopoulos, Georgia Athanasiou
Absence of trust foundations may outweigh benefits of ubiquitous and personalized mental healthcare supervision provided within a Ubiquitous Healthcare environment (UH). Trust is composed by patient's Personal Interaction Experience (PIE) and social entourage accumulated PIE, i.e. Reputation (R). In this paper, a cloud-based Reputation mechanism is proposed. Since PIE is the elementary trust information source, also an Updating mechanism of PIE, is introduced, in this paper. Cloud materialization of combined mechanisms provides adaptability to UH Providers' dynamic behavior, facilitates detection of milking behaviors and complex malicious attacks while meets the challenge of limited accuracy in case of data sparseness...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227840/virtual-reality-for-pediatric-neuro-rehabilitation-adaptive-visual-feedback-of-movement-to-engage-the-mirror-neuron-system
#8
Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos
Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments of our ongoing effort to design an interactive rehabilitation environment that motivates physically impaired children throughout their therapy. The continuous motivation is achieved by the system adapting fundamental therapeutic components to the performance of each child. The relevant movement is mirrored to an animated character projected in front of the child...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227818/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#9
Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Kevin S Xu, Brian Eriksson, Annamalai Natarajan
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227795/simplified-realistic-human-head-model-for-simulating-tumor-treating-fields-ttfields
#10
Cornelia Wenger, Ze'ev Bomzon, Ricardo Salvador, Peter J Basser, Pedro C Miranda, Cornelia Wenger, Ze'ev Bomzon, Ricardo Salvador, Peter J Basser, Pedro C Miranda, Peter J Basser, Pedro C Miranda, Cornelia Wenger, Ricardo Salvador, Ze'ev Bomzon
Tumor Treating Fields (TTFields) are alternating electric fields in the intermediate frequency range (100-300 kHz) of low-intensity (1-3 V/cm). TTFields are an anti-mitotic treatment against solid tumors, which are approved for Glioblastoma Multiforme (GBM) patients. These electric fields are induced non-invasively by transducer arrays placed directly on the patient's scalp. Cell culture experiments showed that treatment efficacy is dependent on the induced field intensity. In clinical practice, a software called NovoTal(TM) uses head measurements to estimate the optimal array placement to maximize the electric field delivery to the tumor...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227792/an-innovative-therapy-for-peri-implantitis-based-on-radio-frequency-electric-current-numerical-simulation-results-and-clinical-evidence
#11
G Cosoli, L Scalise, G Tricarico, E P Tomasini, G Cerri, G Cosoli, L Scalise, G Tricarico, E P Tomasini, G Cerri, G Cosoli, E P Tomasini, G Cerri, G Tricarico, L Scalise
Peri-implantitis is a severe inflammatory pathology that affects soit and hard tissues surrounding dental implants. Nowadays, only prevention is effective to contrast peri-implantitis, but, in recent years, there is the clinical evidence of the efficiency of a therapy based on the application of radio frequency electric current, reporting that 81% of the cases (66 implants, 46 patients) were successfully treated. The aim of this paper is to present the therapy mechanism, exploring the distribution of the electric currents in normal and pathologic tissues...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227790/experiences-of-a-general-practitioner-in-the-daily-practice-about-digital-health-literacy-the-real-needs
#12
M Traver, I Basagoiti, A Martinez-Millana, C Fernandez-Llatas, V Traver, M Traver, I Basagoiti, A Martinez-Millana, C Fernandez-Llatas, V Traver, M Traver, C Fernandez-Llatas, V Traver, I Basagoiti, A Martinez-Millana
Digital Health Literacy (DHL) is a key element to promote patient empowerment. This position paper presents the lessons learnt from the daily activities of a General Practitioner interacting with patients. General Practitioners have a main role in each stage on individual digital health literacy process. They are the first meeting point between patients and the medical knowledge; in the search phase, they are who can prescribe and validate health information; in the comprehension phase, they lead to a full understanding; and in the adoption phase, they assist in the own personal application...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227789/addressing-drug-drug-and-drug-food-interactions-through-personalized-empowerment-services-for-healthcare
#13
Marios Spanakis, Emmanouil G Spanakis, Haridimos Kondylakis, Stelios Sfakianakis, Irini Genitsaridi, Vangelis Sakkalis, Manolis Tsiknakis, Kostas Marias, Marios Spanakis, Emmanouil G Spanakis, Haridimos Kondylakis, Stelios Sfakianakis, Irini Genitsaridi, Vangelis Sakkalis, Manolis Tsiknakis, Kostas Marias, Manolis Tsiknakis, Haridimos Kondylakis, Kostas Marias, Stelios Sfakianakis, Irini Genitsaridi, Emmanouil G Spanakis, Vangelis Sakkalis, Marios Spanakis
Personalized healthcare systems support the provision of timely and appropriate information regarding healthcare options and treatment alternatives. Especially for patients that receive multi-drug treatments a key issue is the minimization of the risk of adverse effects due to drug-drug interactions (DDIs). DDIs may be the result of doctor prescribed drugs but also due to self-medication of conventional drugs, alternative medicines, food habits, alcohol or smoking. It is therefore crucial for personalized health systems, apart from assisting physicians for optimal prescription practices, to also provide appropriate information for individual users for drug-drug interactions or similar information regarding risks for modulation of the ensuing treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227780/impact-of-prostate-biopsy-tumor-amount-on-imaging-based-prognostics-employing-transductive-semi-supervised-regression
#14
Faisal M Khan, Casimir A Kulikowski, Faisal M Khan, Casimir A Kulikowski, Casimir A Kulikowski, Faisal M Khan
For newly diagnosed prostate cancer patients with a positive biopsy, there are a variety of treatment options to consider. To aid physicians and patients in their decision making, a variety of predictive assays have emerged within the last decade, many of them imaging based. These assays build predictive models for survival analysis to provide personalized risk assessments for the patients. However, there have rarely been any published studies on how the amount of tumor in the positive prostate biopsy affects the predictive power of these imaging based assays...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227741/eye-movements-as-a-marker-for-visual-prosthesis-spatial-mapping-a-feasibility-study-using-a-blind-patient-implanted-with-the-argus-ii-retinal-prosthesis
#15
Avi Caspi, Jessy Dorn, John B Helder, Kapil D Katyal, Arup Roy, Avi Caspi, Jessy Dorn, John B Helder, Kapil D Katyal, Arup Roy, John B Helder, Kapil D Katyal, Jessy Dorn, Arup Roy, Avi Caspi
Spatial mapping, the location in space of a perceived location due to an implanted electrode's electrical stimulation is important in the design of visual prostheses. Generally, a visual prosthesis system consists of an implanted electrode array, an external camera that acquires the image, and a transmitter that sends the information to the implanted electrodes. In cortical visual implant, the layout of the implanted array in most cases does not match the retinotopic map and it is necessary to find the location of the percept of each electrode in world coordinates...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227730/prototyping-context-aware-nursing-support-mobile-system
#16
Misa Esashi, Tomohiro Nakano, Nao Onose, Kikue Sato, Tomoko Hikita, Reiko Hoya, Kazuya Okamoto, Naoki Ohboshi, Tomohiro Kuroda, Misa Esashi, Tomohiro Nakano, Nao Onose, Kikue Sato, Tomoko Hikita, Reiko Hoya, Kazuya Okamoto, Naoki Ohboshi, Tomohiro Kuroda, Kikue Sato, Tomohiro Nakano, Tomoko Hikita, Naoki Ohboshi, Misa Esashi, Nao Onose, Tomohiro Kuroda, Kazuya Okamoto, Reiko Hoya
A context aware nursing support system to push right information to the right person at the right moment is the key to increase clinical safety under a computerized hospital. We prototyped a system which obtains context from positions of nurses and list of expected clinical procedures. A WoZ test showed that the proposed approach has potential to decrease incidents caused by information delivery error.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227720/can-we-make-a-carpet-smart-enough-to-detect-falls
#17
Fadi Muheidat, Harry W Tyrer, Fadi Muheidat, Harry W Tyrer, Harry W Tyrer, Fadi Muheidat
In this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor. Our hardware front end reads 128 sensors, with sensors output a voltage due to a person walking or falling on the carpet. The processor is Jetson TK1, which provides more computing power than before. We generated a dataset with volunteers who walked and fell to test our algorithms. Data obtained allowed examining data frames (a frame is a single scan of the carpet sensors) read from the data acquisition system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227710/monitoring-of-paces-and-gaits-using-binary-pir-sensors-with-rehabilitation-treadmill
#18
Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Ting Zhang, Ishaq Unwala, Qingquan Sun, Jiang Lu, Sanobar Kadiwal, Fei Hu
Recently, rehabilitation treadmills are designed for helping injured persons such as stroke patients and injury athletes in the process of physical therapy. By monitoring the changes of paces and gaits, one can estimate the progress of rehabilitation. At present, most devices that can estimate paces and gaits are wearable and/or expensive. This paper presents an inexpensive, non-intrusive wireless binary sensor system for pace estimation and lower-extreme gait recognition with low data throughput and high energy efficiency...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227699/endurance-based-personalized-fitness-planner
#19
S Sahoo, V N Tiwari, R Narayanan, S Sahoo, V N Tiwari, R Narayanan, R Narayanan, V N Tiwari, S Sahoo
Endurance is an important factor of cardiovascular fitness indicating the capacity of an individual to perform exercise for a longer duration with increased intensity. Various subject specific and exercise related parameters affect endurance of an individual. In this work, we propose a statistical technique to model endurance as a function of these factors incorporating the serial dependence of observations generated by individuals over time. The proposed model provides a device to predict future endurance of a test subject following particular exercise regime...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227693/using-bioimpedance-spectroscopy-parameters-as-real-time-feedback-during-tdcs
#20
Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Miodrag Bolic, Herschel Caytak
An exploratory analysis is carried out to investigate the feasibility of using BioImpedance Spectroscopy (BIS) parameters, measured on scalp, as real-time feedback during Transcranial Direct Current Stimulation (tDCS). TDCS is shown to be a potential treatment for neurological disorders. However, this technique is not considered as a reliable clinical treatment, due to the lack of a measurable indicator of treatment efficacy. Although the voltage that is applied on the head is very simple to measure during a tDCS session, changes of voltage are difficult to interpret in terms of variables that affect clinical outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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