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https://www.readbyqxmd.com/read/29297138/design-of-a-noninvasive-and-smart-hand-tremor-attenuation-system-with-active-control-a-simulation-study
#1
Mahdi Abbasi, Aref Afsharfard, Roya Arasteh, Javad Safaie
This paper presents the design and simulation of a handheld device for people with hand tremor, such as Parkinson's and essential tremor patients. This device can be used as a pen for smartphones or as a spoon. The designed system includes two links, which are connected to two servomotors, which are mounted in orthogonal directions. To attenuate the effect of hand tremor on the tip of device, PID and computed torque methods are used to actively control the system. These controllers are used to control the rotation of the motors for moving the links in opposite directions of the hand tremor...
January 3, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29261709/feasibility-of-large-scale-deployment-of-multiple-wearable-sensors-in-parkinson-s-disease
#2
Ana Lígia Silva de Lima, Tim Hahn, Luc J W Evers, Nienke M de Vries, Eli Cohen, Michal Afek, Lauren Bataille, Margaret Daeschler, Kasper Claes, Babak Boroojerdi, Dolors Terricabras, Max A Little, Heribert Baldus, Bastiaan R Bloem, Marjan J Faber
Wearable devices can capture objective day-to-day data about Parkinson's Disease (PD). This study aims to assess the feasibility of implementing wearable technology to collect data from multiple sensors during the daily lives of PD patients. The Parkinson@home study is an observational, two-cohort (North America, NAM; The Netherlands, NL) study. To recruit participants, different strategies were used between sites. Main enrolment criteria were self-reported diagnosis of PD, possession of a smartphone and age≥18 years...
2017: PloS One
https://www.readbyqxmd.com/read/29152558/erratum-author-correction-using-a-smartphone-based-self-management-platform-to-support-medication-adherence-and-clinical-consultation-in-parkinson-s-disease
#3
Rashmi Lakshminarayana, Duolao Wang, David Burn, K Ray Chaudhuri, Clare Galtrey, Natalie Valle Guzman, Bruce Hellman, Ben James, Suvankar Pal, Jon Stamford, Malcolm Steiger, R W Stott, James Teo, Roger A Barker, Emma Wang, Bastiaan R Bloem, Martijn van der Eijk, Lynn Rochester, Adrian Williams
[This corrects the article DOI: 10.1038/s41531-016-0003-z.].
2017: NPJ Parkinson's Disease
https://www.readbyqxmd.com/read/29075547/can-a-smartphone-diagnose-parkinson-disease-a-deep-neural-network-method-and-telediagnosis-system-implementation
#4
Y N Zhang
Parkinson's disease (PD) is primarily diagnosed by clinical examinations, such as walking test, handwriting test, and MRI diagnostic. In this paper, we propose a machine learning based PD telediagnosis method for smartphone. Classification of PD using speech records is a challenging task owing to the fact that the classification accuracy is still lower than doctor-level. Here we demonstrate automatic classification of PD using time frequency features, stacked autoencoders (SAE), and K nearest neighbor (KNN) classifier...
2017: Parkinson's Disease
https://www.readbyqxmd.com/read/29063366/time-measurement-characterization-of-stand-to-sit-and-sit-to-stand-transitions-by-using-a-smartphone
#5
Hernán A González Rojas, Pedro Chaná Cuevas, Enrique E Zayas Figueras, Salvador Cardona Foix, Antonio J Sánchez Egea
The aim of this study is to analyze a common method to measure the acceleration of a daily activity pattern by using a smartphone. In this sense, a numerical approach is proposed to transform the relative acceleration signal, recorded by a triaxial accelerometer, into an acceleration referred to an inertial reference. The integration of this acceleration allows to determine the velocity and position with respect to an inertial reference. Two different kinematic parameters are suggested to characterize the profile of the velocity during the sit-to-stand and stand-to-sit transitions for Parkinson and control subjects...
October 23, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29027941/verification-of-a-method-for-measuring-parkinson-s-disease-related-temporal-irregularity-in-spiral-drawings
#6
Somayeh Aghanavesi, Mevludin Memedi, Mark Dougherty, Dag Nyholm, Jerker Westin
Parkinson's disease (PD) is a progressive movement disorder caused by the death of dopamine-producing cells in the midbrain. There is a need for frequent symptom assessment, since the treatment needs to be individualized as the disease progresses. The aim of this paper was to verify and further investigate the clinimetric properties of an entropy-based method for measuring PD-related upper limb temporal irregularities during spiral drawing tasks. More specifically, properties of a temporal irregularity score (TIS) for patients at different stages of PD, and medication time points were investigated...
October 13, 2017: Sensors
https://www.readbyqxmd.com/read/28841694/differential-diagnosis-between-parkinson-s-disease-and-essential-tremor-using-the-smartphone-s-accelerometer
#7
Sergi Barrantes, Antonio J Sánchez Egea, Hernán A González Rojas, Maria J Martí, Yaroslau Compta, Francesc Valldeoriola, Ester Simo Mezquita, Eduard Tolosa, Josep Valls-Solè
BACKGROUND: The differential diagnosis between patients with essential tremor (ET) and those with Parkinson's disease (PD) whose main manifestation is tremor may be difficult unless using complex neuroimaging techniques such as 123I-FP-CIT SPECT. We considered that using smartphone's accelerometer to stablish a diagnostic test based on time-frequency differences between PD an ET could support the clinical diagnosis. METHODS: The study was carried out in 17 patients with PD, 16 patients with ET, 12 healthy volunteers and 7 patients with tremor of undecided diagnosis (TUD), who were re-evaluated one year after the first visit to reach the definite diagnosis...
2017: PloS One
https://www.readbyqxmd.com/read/28706727/pd_manager-an-mhealth-platform-for-parkinson-s-disease-patient-management
#8
Kostas M Tsiouris, Dimitrios Gatsios, George Rigas, Dragana Miljkovic, Barbara Koroušić Seljak, Marko Bohanec, Maria T Arredondo, Angelo Antonini, Spyros Konitsiotis, Dimitrios D Koutsouris, Dimitrios I Fotiadis
PD_Manager is a mobile health platform designed to cover most of the aspects regarding the management of Parkinson's disease (PD) in a holistic approach. Patients are unobtrusively monitored using commercial wrist and insole sensors paired with a smartphone, to automatically estimate the severity of most of the PD motor symptoms. Besides motor symptoms monitoring, the patient's mobile application also provides various non-motor self-evaluation tests for assessing cognition, mood and nutrition to motivate them in becoming more active in managing their disease...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28688983/subjective-perception-of-sleep-benefit-in-parkinson-s-disease-valid-or-irrelevant
#9
Will Lee, Andrew Evans, David R Williams
INTRODUCTION: The phenomenon of sleep benefit (SB) in Parkinson's disease (PD), whereby waking motor function is improved despite no dopaminergic treatment overnight, is controversial. Previous studies suggested a significant discrepancy between subjective functional and objective motor improvement. The aim of this study was to determine how well subjective reporting of SB correlates with objective measures and if true motor improvement can be predicted by a standardized questionnaire...
September 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28653995/nutrinet-a-deep-learning-food-and-drink-image-recognition-system-for-dietary-assessment
#10
Simon Mezgec, Barbara Koroušić Seljak
Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a particularly challenging task, which is why traditional approaches in the field have achieved a low classification accuracy. Deep neural networks have outperformed such solutions, and we present a novel approach to the problem of food and drink image detection and recognition that uses a newly-defined deep convolutional neural network architecture, called NutriNet...
June 27, 2017: Nutrients
https://www.readbyqxmd.com/read/28649602/using-a-smartphone-based-self-management-platform-to-support-medication-adherence-and-clinical-consultation-in-parkinson-s-disease
#11
Rashmi Lakshminarayana, Duolao Wang, David Burn, K Ray Chaudhuri, Clare Galtrey, Natalie Valle Guzman, Bruce Hellman, Ben James, Suvankar Pal, Jon Stamford, Malcolm Steiger, R W Stott, James Teo, Roger A Barker, Emma Wang, Bastiaan R Bloem, Martijn van der Eijk, Lynn Rochester, Adrian Williams
The progressive nature of Parkinson's disease, its complex treatment regimens and the high rates of comorbid conditions make self-management and treatment adherence a challenge. Clinicians have limited face-to-face consultation time with Parkinson's disease patients, making it difficult to comprehensively address non-adherence. Here we share the results from a multi-centre (seven centres) randomised controlled trial conducted in England and Scotland to assess the impact of using a smartphone-based Parkinson's tracker app to promote patient self-management, enhance treatment adherence and quality of clinical consultation...
2017: NPJ Parkinson's Disease
https://www.readbyqxmd.com/read/28549757/mobile-phone-applications-in-parkinson-s-disease-a-systematic-review
#12
M Linares-Del Rey, L Vela-Desojo, R Cano-de la Cuerda
INTRODUCTION: Parkinson's disease (PD) is the second most common neurodegenerative disease. However, diagnosing, assessing, and treating these patients is a complex process requiring continuous monitoring. In this context, smartphones may be useful in the management of patients with PD. OBJECTIVE: The purpose of this study is to perform a systematic review of the literature addressing the use of mobile phone applications (apps) in PD. MATERIALS AND METHODS: We conducted a literature search of articles published in English or Spanish between 2011 and 2016 analysing or validating apps specifically designed for or useful in PD...
May 23, 2017: Neurología: Publicación Oficial de la Sociedad Española de Neurología
https://www.readbyqxmd.com/read/28237917/detection-of-motor-impairment-in-parkinson-s-disease-via-mobile-touchscreen-typing
#13
Teresa Arroyo-Gallego, Maria Jesus Ledesma-Carbayo, Alvaro Sanchez-Ferro, Ian Butterworth, Carlos S Mendoza, Michele Matarazzo, Paloma Montero, Roberto Lopez-Blanco, Veronica Puertas-Martin, Rocio Trincado, Luca Giancardo
Mobile technology is opening a wide range of opportunities for transforming the standard of care for chronic disorders. Using smartphones as tools for longitudinally tracking symptoms could enable personalization of drug regimens and improve patient monitoring. Parkinson's disease (PD) is an ideal candidate for these tools. At present, evaluation of PD signs requires trained experts to quantify motor impairment in the clinic, limiting the frequency and quality of the information available for understanding the status and progression of the disease...
September 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28209557/formative-evaluation-of-participant-experience-with-mobile-econsent-in-the-app-mediated-parkinson-mpower-study-a-mixed-methods-study
#14
Megan Doerr, Amy Maguire Truong, Brian M Bot, John Wilbanks, Christine Suver, Lara M Mangravite
BACKGROUND: To fully capitalize on the promise of mobile technology to enable scalable, participant-centered research, we must develop companion self-administered electronic informed consent (eConsent) processes. As we do so, we have an ethical obligation to ensure that core tenants of informed consent-informedness, comprehension, and voluntariness-are upheld. Furthermore, we should be wary of recapitulating the pitfalls of "traditional" informed consent processes. OBJECTIVE: Our objective was to describe the essential qualities of participant experience, including delineation of common and novel themes relating to informed consent, with a self-administered, smartphone-based eConsent process...
February 16, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/27972340/using-a-smartphone-based-self-management-platform-to-support-medication-adherence-and-clinical-consultation-in-parkinson-s-disease-results-from-the-smart-pd-randomised-controlled-trial
#15
R Lakshminarayana, D Wang, D Burn, K R Chaudhuri, B Hellman, I Smart-Pd Investigators
No abstract text is available yet for this article.
November 2016: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/27567449/a-smartphone-based-architecture-to-detect-and-quantify-freezing-of-gait-in-parkinson-s-disease
#16
Marianna Capecci, Lucia Pepa, Federica Verdini, Maria Gabriella Ceravolo
INTRODUCTION: The freezing of gait (FOG) is a common and highly distressing motor symptom in patients with Parkinson's Disease (PD). Effective management of FOG is difficult given its episodic nature, heterogeneous manifestation and limited responsiveness to drug treatment. METHODS: In order to verify the acceptance of a smartphone-based architecture and its reliability at detecting FOG in real-time, we studied 20 patients suffering from PD-related FOG. They were asked to perform video-recorded Timed Up and Go (TUG) test with and without dual-tasks while wearing the smartphone...
October 2016: Gait & Posture
https://www.readbyqxmd.com/read/27565186/large-scale-wearable-sensor-deployment-in-parkinson-s-patients-the-parkinson-home-study-protocol
#17
Ana Lígia Silva de Lima, Tim Hahn, Nienke M de Vries, Eli Cohen, Lauren Bataille, Max A Little, Heribert Baldus, Bastiaan R Bloem, Marjan J Faber
BACKGROUND: Long-term management of Parkinson's disease does not reach its full potential because we lack knowledge about individual variations in clinical presentation and disease progression. Continuous and longitudinal assessments in real-life (ie, within the patients' own home environment) might fill this knowledge gap. OBJECTIVE: The primary aim of the Parkinson@Home study is to evaluate the feasibility and compliance of using multiple wearable sensors to collect clinically relevant data...
August 26, 2016: JMIR Research Protocols
https://www.readbyqxmd.com/read/27467066/a-validation-study-of-a-smartphone-based-finger-tapping-application-for-quantitative-assessment-of-bradykinesia-in-parkinson-s-disease
#18
Chae Young Lee, Seong Jun Kang, Sang-Kyoon Hong, Hyeo-Il Ma, Unjoo Lee, Yun Joong Kim
BACKGROUND: Most studies of smartphone-based assessments of motor symptoms in Parkinson's disease (PD) focused on gait, tremor or speech. Studies evaluating bradykinesia using wearable sensors are limited by a small cohort size and study design. We developed an application named smartphone tapper (SmT) to determine its applicability for clinical purposes and compared SmT parameters to current standard methods in a larger cohort. METHODS: A total of 57 PD patients and 87 controls examined with motor UPDRS underwent timed tapping tests (TT) using SmT and mechanical tappers (MeT) according to CAPSIT-PD...
2016: PloS One
https://www.readbyqxmd.com/read/27440289/hello-harlie-enabling-speech-monitoring-through-chat-bot-conversations
#19
David Ireland, Christina Atay, Jacki Liddle, Dana Bradford, Helen Lee, Olivia Rushin, Thomas Mullins, Dan Angus, Janet Wiles, Simon McBride, Adam Vogel
People with neurological conditions such as Parkinson's disease and dementia are known to have difficulties in language and communication. This paper presents initial testing of an artificial conversational agent, called Harlie. Harlie runs on a smartphone and is able to converse with the user on a variety of topics. A description of the application and a sample dialog are provided to illustrate the various roles chat-bots can play in the management of neurological conditions. Harlie can be used for measuring voice and communication outcomes during the daily life of the user, and for gaining information about challenges encountered...
2016: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27119325/the-use-of-smartphones-for-health-research
#20
E Ray Dorsey, Yu-Feng Yvonne Chan, Michael V McConnell, Stanley Y Shaw, Andrew D Trister, Stephen H Friend
Because of their growing popularity and functionality, smartphones are increasingly valuable potential tools for health and medical research. Using ResearchKit, Apple's open-source platform to build applications ("apps") for smartphone research, collaborators have developed apps for researching asthma, breast cancer, cardiovascular disease, type 2 diabetes, and Parkinson disease. These research apps enhance widespread participation by removing geographical barriers to participation, provide novel ways to motivate healthy behaviors, facilitate high-frequency assessments, and enable more objective data collection...
February 2017: Academic Medicine: Journal of the Association of American Medical Colleges
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