K4Health
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This Digital Health Resource Library houses three legacy collections previously maintained by the Knowledge for Health (K4Health) Project. K4Health’s work was made possible by the support of the American People through the United States Agency for International Development (USAID) . K4Health was supported from 2008-2019 by USAID's Office of Population and Reproductive Health, Bureau for Global Health, under cooperative agreements with the Johns Hopkins University. K4Health was implemented by the Johns Hopkins Center for Communication Programs (CCP) in collaboration with FHI 360, Management Sciences for Health (MSH), and IntraHealth International. The K4Health Project ended in September 2019.
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Browsing K4Health by Subject "Accelerometers / Motion sensors"
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- ItemAn accelerometer-based handheld system to reduce breaks in performance of young adults with cognitive impairments.(2011-10-11) Chang, Yao-Jen; Chen, Shu-Fang; Lu, Zhi-ZhanThis study assessed the possibility of training two individuals with cognitive impairments using a system that reduced breaks in performance This study was carried out according to an ABAB sequence in which A represented the baseline and B represented intervention phases Data showed that the two participants significantly increased their target response thus reducing breaks and improving vocational job performance during the intervention phases Practical and developmental implications of the findings are discussed
- ItemActive tremor cancellation by a "smart" handheld vitreoretinal microsurgical tool using swept source optical coherence tomography.(2012-11-28) Song, Cheol; Gehlbach, Peter L; Kang, Jin UMicrosurgeons require dexterity to make precise and stable maneuvers to achieve surgical objectives and to minimize surgical risks during freehand procedures This work presents a novel common path swept source optical coherence tomography based smart micromanipulation aided robotic surgical tool SMART that actively suppresses surgeon hand tremor The tool allows enhanced tool tip stabilization more accurate targeting and the potential to lower surgical risk Freehand performance is compared to smart tool assisted performance and includes assessment of the one dimensional motion tremor in an active microsurgeon s hand Surgeon hand tremor the ability to accurately locate a surgical target and maintain tool tip offset distances were all improved by smart tool assistance
- ItemBALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference.(2011-05-06) Denning, Tamara; Andrew, Adrienne; Chaudhri, Rohit; Hartung, Carl; Lester, Jonathan; Borriello, Gaetano; Duncan, GlenTechnology offers the potential to objectively monitor people s eating and activity behaviors and encourage healthier lifestyles BALANCE is a mobile phone based system for long term wellness management The BALANCE system automatically detects the user s caloric expenditure via sensor data from a Mobile Sensing Platform unit worn on the hip Users manually enter information on foods eaten via an interface on an N95 mobile phone Initial validation experiments measuring oxygen consumption during treadmill walking and jogging show that the system s estimate of caloric output is within 87 of the actual value Future work will refine and continue to evaluate the system s efficacy and develop more robust data input and activity inference methods
- ItemCapturing and analyzing wheelchair maneuvering patterns with mobile cloud computing.(2013-10-10) Fu, Jicheng; Hao, Wei; White, Travis; Yan, Yuqing; Jones, Maria; Jan, Yih-KuenPower wheelchairs have been widely used to provide independent mobility to people with disabilities Despite great advancements in power wheelchair technology research shows that wheelchair related accidents occur frequently To ensure safe maneuverability capturing wheelchair maneuvering patterns is fundamental to enable other research such as safe robotic assistance for wheelchair users In this study we propose to record store and analyze wheelchair maneuvering data by means of mobile cloud computing Specifically the accelerometer and gyroscope sensors in smart phones are used to record wheelchair maneuvering data in real time Then the recorded data are periodically transmitted to the cloud for storage and analysis The analyzed results are then made available to various types of users such as mobile phone users traditional desktop users etc The combination of mobile computing and cloud computing leverages the advantages of both techniques and extends the smart phone s capabilities of computing and data storage via the Internet We performed a case study to implement the mobile cloud computing framework using Android smart phones and Google App Engine a popular cloud computing platform Experimental results demonstrated the feasibility of the proposed mobile cloud computing framework
- ItemComparison of physical activity measures using mobile phone-based CalFit and Actigraph.(2013-07-30) Donaire-Gonzalez, David; de Nazelle, Audrey; Seto, Edmund; Mendez, Michelle; Nieuwenhuijsen, Mark J; Jerrett, MichaelBACKGROUND Epidemiological studies on physical activity often lack inexpensive objective valid and reproducible tools for measuring physical activity levels of participants Novel sensing technologies built into smartphones offer the potential to fill this gap OBJECTIVE We sought to validate estimates of physical activity and determine the usability for large population based studies of the smartphone based CalFit software METHODS A sample of 36 participants from Barcelona Spain wore a smartphone with CalFit software and an Actigraph GT3X accelerometer for 5 days The ease of use usability and physical activity measures from both devices were compared including vertical axis counts VT and duration and energy expenditure predictions for light moderate and vigorous intensity from Freedson s algorithm Statistical analyses included 1 Kruskal Wallis rank sum test for usability measures 2 Spearman correlation and linear regression for VT counts 3 concordance correlation coefficient CCC and 4 Bland Altman plots for duration and energy expenditure measures RESULTS Approximately 64 23 36 of participants were women Mean age was 31 years SD 8 and mean body mass index was 22 kg m 2 SD 2 In total 25 36 69 participants recorded at least 3 days with at least 10 recorded hours of physical activity using CalFit The linear association and correlations for VT counts were high adjusted R 2 0 85 correlation coefficient 932 95 CI 0 931 0 933 CCCs showed high agreement for duration and energy expenditure measures from 0 83 to 0 91 CONCLUSIONS The CalFit system had lower usability than the Actigraph GT3X because the application lacked a means to turn itself on each time the smartphone was powered on The CalFit system may provide valid estimates to quantify and classify physical activity CalFit may prove to be more cost effective and easily deployed for large scale population health studies than other specialized instruments because cell phones are already carried by many people
- ItemCurrent mHealth technologies for physical activity assessment and promotion.(2013-09-20) O'Reilly, Gillian A; Spruijt-Metz, DonnaCONTEXT Novel mobile assessment and intervention capabilities are changing the face of physical activity PA research A comprehensive systematic review of how mobile technology has been used for measuring PA and promoting PA behavior change is needed EVIDENCE ACQUISITION Article collection was conducted using six databases from February to June 2012 with search terms related to mobile technology and PA Articles that described the use of mobile technologies for PA assessment sedentary behavior assessment and or interventions for PA behavior change were included Articles were screened for inclusion and study information was extracted EVIDENCE SYNTHESIS Analyses were conducted from June to September 2012 Mobile phone based journals and questionnaires short message service SMS prompts and on body PA sensing systems were the mobile technologies most utilized Results indicate that mobile journals and questionnaires are effective PA self report measurement tools Intervention studies that reported successful promotion of PA behavior change employed SMS communication mobile journaling or both SMS and mobile journaling CONCLUSIONS mHealth technologies are increasingly being employed to assess and intervene on PA in clinical epidemiologic and intervention research The wide variations in technologies used and outcomes measured limit comparability across studies and hamper identification of the most promising technologies Further the pace of technologic advancement currently outstrips that of scientific inquiry New adaptive sequential research designs that take advantage of ongoing technology development are needed At the same time scientific norms must shift to accept smart adaptive iterative evidence based assessment and intervention technologies that will by nature improve during implementation
- Item[Design of the chest belt wireless health monitoring terminal for the old based on MSP430].(2012-08-24) Qin, Xiuzhen; Wang, Feng; Zhou, Ping; Xu, HaijingA real time monitoring terminal for the empty nest elderly based on extracting fabric type sensor and acceleration sensor combined with Bluetooth wireless communication technology is proposed When the system detects arrhythmia and falls of the elderly and then start the wireless bluetooth communication complete the information interaction with mobile phone gateway device so as to implement the rescue
- ItemThe design of the m-health service application using a Nintendo DS game console.(2011-03-09) Lee, Sangjoon; Kim, Jungkuk; Lee, MyounghoIn this article we developed an m health monitoring system using a Nintendo DS game console to demonstrate its utility The proposed system consists of a biosignal acquisition device wireless sensor network base station for signal reception from the sensor network and signal conversion according to Internet protocol personal computer display program and the Nintendo DS game console The system collects three channel electrocardiogram ECG signals for cardiac abnormality detection and three axis accelerometer signals for fall detection of a person The collected signals are then transmitted to the base station through the wireless sensor network where they are transformed according to the transmission control protocol Internet protocol TCP IP and sent to the destination IP through Internet network To test the developed system the collected signals were displayed on a computer located in different building through wired Internet network and also simultaneously displayed on the Nintendo DS game console connected to Internet network wirelessly The system was able to collect and transmit signals for more than 24 h without any interruptions or malfunctions showing the possibility of integrating healthcare monitoring functions into a small handheld type electronic device developed for different purposes without significant complications It is expected that the system can be used in an ambulance nursing home or general hospital where efficient patient monitoring from long distance is necessary
- ItemDetection of falls using accelerometers and mobile phone technology.(2011-10-21) Lee, Raymond Y W; Carlisle, Alison JOBJECTIVES to study the sensitivity and specificity of fall detection using mobile phone technology DESIGN an experimental investigation using motion signals detected by the mobile phone SETTING AND PARTICIPANTS the research was conducted in a laboratory setting and 18 healthy adults 12 males and 6 females age 29 8 7 years were recruited MEASUREMENT each participant was requested to perform three trials of four different types of simulated falls forwards backwards lateral left and lateral right and eight other everyday activities sit to stand stand to sit level walking walking up and downstairs answering the phone picking up an object and getting up from supine Acceleration was measured using two devices a mobile phone and an independent accelerometer attached to the waist of the participants RESULTS Bland Altman analysis shows a higher degree of agreement between the data recorded by the two devices Using individual upper and lower detection thresholds the specificity and sensitivity for mobile phone were 0 81 and 0 77 respectively and for external accelerometer they were 0 82 and 0 96 respectively CONCLUSION fall detection using a mobile phone is a feasible and highly attractive technology for older adults especially those living alone It may be best achieved with an accelerometer attached to the waist which transmits signals wirelessly to a phone
- ItemDevelopment and use of behavior and social interaction software installed on Palm handheld for observation of a child's social interactions with the environment.(2006-12-25) Sarkar, Archana; Dutta, Arup; Dhingra, Usha; Dhingra, Pratibha; Verma, Priti; Juyal, Rakesh; Black, Robert E; Menon, Venugopal P; Kumar, Jitendra; Sazawal, SunilIn settings in developing countries children often socialize with multiple socializing agents peers siblings neighbors apart from their parents and thus a measurement of a child s social interactions should be expanded beyond parental interactions Since the environment plays a role in shaping a child s development the measurement of child socializing agents interactions is important We developed and used a computerized observational software Behavior and Social Interaction Software BASIS with a preloaded coding scheme installed on a handheld Palm device to record complex observations of interactions between children and socializing agents Using BASIS social interaction assessments were conducted on 573 preschool children for 1 h in their natural settings Multiple screens with a set of choices in each screen were designed that included the child s location broad activity state and interactions with child socializing agents Data were downloaded onto a computer and systematically analyzed BASIS installed on Palm OS M 125 enabled the recording of the complex interactions of child socializing agents that could not be recorded with manual forms Thus this tool provides an innovative and relatively accurate method for the systematic recording of social interactions in an unrestricted environment
- Item[Development of a wrist wearing and remote heart rate alarm apparatus].(2013-07-17) Zhao, Ruibin; Meng, Yanjun; Zhang, Wei; Wu, Yanru; Zhang, Jingjing; Fan, ZhenzhongWe have developed a new wrist wearing heart rate monitoring alarm apparatus which can detect the patients real time pulse waves When the abnormal heart rate appears or pulse disappears the monitoring alarm will sound and dial the remote telephone for help simultaneously This apparatus uses the switch circuit to control the keyboard of mobile phone and dials remote telephone in the help of mature technology and communication platform of mobile phones The intelligent program can distinguish digital pulse signal pick out the correct cycle of heartbeat intelligently The new wrist wearing heart rate monitoring alarm apparatus will calculate an average heart rate when it captures consecutively five correct electrocardiograph waveforms It really provides a simple inexpensive and effective way for the patients with heart disease
- ItemDevelopment of an automated physical activity classification application for mobile phones.(2011-09-06) Xia, Ying; Cheung, Vivian; Garcia, Elsa; Ding, Hang; Karunaithi, MohanBACKGROUND Physical activity classification is an objective approach to assess levels of physical activity and indicates an individual s degree of functional ability It is significant for a number of the disciplines such as behavioural sciences physiotherapy etc Accelerometry is found to be a practical and low cost method for activity classification that could provide an objective and efficient measurement of people s daily activities METHODS This paper utilises a mobile phone with a built in tri axial accelerometer sensor to automatically classify normal physical activities A rule based activity classification model which can recognise 4 common daily activities lying walking sitting and standing and 6 transitions between postural orientations is introduced here In this model three types of statuses walking transition lying and sitting standing are first classified based on the kinetic energy and upright angle Transitions are then separated from walking and assigned to the corresponding type using upright angle algorithm To evaluate the performance of this developed application a trial is designed with 8 healthy adult subjects who are required to perform a 6 minute activity routine with an iPhone fixed at the waist position RESULTS Based on the evaluation result our application measures the length of time of each activity accurately and the achieved sensitivity of each activity classification exceeds 90 while the achieved specificity exceeds 96 Meanwhile regarding the transition identification the sensitivities are high in stand to sit 80 and low in sit to stand 56
- ItemDoes the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings.(2013-09-19) Weiss, Aner; Brozgol, Marina; Dorfman, Moran; Herman, Talia; Shema, Shirley; Giladi, Nir; Hausdorff, Jeffrey MBACKGROUND Many approaches are used to evaluate fall risk While their properties and performance vary most reflect performance at a specific moment or are based on subjective self report OBJECTIVE To quantify fall risk in the home setting using an accelerometer METHODS Seventy one community living older adults were studied In the laboratory fall risk was assessed using performance based tests of mobility eg Timed Up and Go and usual walking abilities were quantified Subsequently subjects wore a triaxial accelerometer on their lower back for 3 consecutive days Acceleration derived measures were extracted from segments that reflected ambulation These included total activity duration number of steps taken and the amplitude and width at the dominant frequency in the power spectral density that is parameters reflecting step to step variability Afterwards self report of falls was collected for 6 months to explore the predictive value RESULTS Based on a history of 2 or more falls subjects were classified as fallers or nonfallers The number of steps during the 3 days was similar P 42 in the fallers 7842 1 6135 6 and nonfallers 9055 3 6444 7 Compared with the nonfallers step to step consistency was lower in the fallers in the vertical axis amplitude fallers 0 58 0 22 psd nonfallers 0 71 0 18 psd P 008 in the mediolateral axis step to step consistency was higher in the fallers P 014 The 3 day measures improved the identification of past and future falls status P Under 005 compared to performance based tests CONCLUSIONS Accelerometer derived measures based on 3 day recordings are useful for evaluating fall risk as older adults perform daily living activities in their everyday home environment
- ItemEstimation of physical activity levels using cell phone questionnaires: a comparison with accelerometry for evaluation of between-subject and within-subject variations.(2011-09-28) Bexelius, Christin; Sandin, Sven; Trolle Lagerros, Ylva; Litton, Jan-Eric; Löf, MarieBACKGROUND Physical activity promotes health and longevity Further elaboration of the role of physical activity for human health in epidemiological studies on large samples requires accurate methods that are easy to use cheap and possible to repeat The use of telecommunication technologies such as cell phones is highly interesting in this respect In an earlier report we showed that physical activity level PAL assessed using a cell phone procedure agreed well with corresponding estimates obtained using the doubly labeled water method However our earlier study indicated high within subject variation in relation to between subject variations in PAL using cell phones but we could not assess if this was a true variation of PAL or an artifact of the cell phone technique OBJECTIVE Our objective was to compare within and between subject variations in PAL by means of cell phones with corresponding estimates using an accelerometer In addition we compared the agreement of daily PAL values obtained using the cell phone questionnaire with corresponding data obtained using an accelerometer METHODS PAL was measured both with the cell phone questionnaire and with a triaxial accelerometer daily during a 2 week study period in 21 healthy Swedish women 20 to 45 years of age and BMI from 17 7 kg m to 33 6 kg m The results were evaluated by fitting linear mixed effect models and descriptive statistics and graphs RESULTS With the accelerometer 57 95 confidence interval CI 40 66 of the variation was within subjects while with the cell phone within subject variation was 76 95 CI 59 83 The day to day variations in PAL observed using the cell phone questions agreed well with the corresponding accelerometer results CONCLUSIONS Both the cell phone questionnaire and the accelerometer showed high within subject variations Furthermore day to day variations in PAL within subjects assessed using the cell phone agreed well with corresponding accelerometer values Consequently our cell phone questionnaire is a promising tool for assessing levels of physical activity The tool may be useful for large scale prospective studies
- ItemEvaluation of a Micro-Force Sensing Handheld Robot for Vitreoretinal Surgery.(2013-02-04) Gonenc, Berk; Balicki, Marcin A; Handa, James; Gehlbach, Peter; Riviere, Cameron N; Taylor, Russell H; Iordachita, IulianHighly accurate positioning is fundamental to the performance of vitreoretinal microsurgery Of vitreoretinal procedures membrane peeling is among the most prone to complications since extremely delicate manipulation of retinal tissue is required Associated tool to tissue interaction forces are usually below the threshold of human perception and the surgical tools are moved very slowly within the 0 1 0 5 mm s range During the procedure unintentional tool motion and excessive forces can easily give rise to vision loss or irreversible damage to the retina A successful surgery includes two key features controlled tremor free tool motion and control of applied force In this study we present the potential benefits of a micro force sensing robot in vitreoretinal surgery Our main contribution is implementing fiber Bragg grating based force sensing in an active tremor canceling handheld micromanipulator known as Micron to measure tool to tissue interaction forces in real time Implemented auditory sensory substitution assists in reducing and limiting forces In order to test the functionality and performance the force sensing Micron was evaluated in peeling experiments with adhesive bandages and with the inner shell membrane from chicken eggs Our findings show that the combination of active tremor canceling together with auditory sensory substitution is the most promising aid that keeps peeling forces below 7 mN with a significant reduction in 2 20 Hz oscillations
- ItemEvaluation of the Accuracy of a Triaxial Accelerometer Embedded into a Cell Phone Platform for Measuring Physical Activity.(2013-06-04) Manohar, C U; McCrady, S K; Fujiki, Y; Pavlidis, I T; Levine, J ABACKGROUND Physical activity is important in health and weight management Several cell phone platforms integrate an accelerometer onto the motherboard Here we tested the validity of the cell phone accelerometer to assess physical activity in a controlled laboratory setting METHODS 31 subjects wore the cell phone on their waist along with the validated Physical Activity Monitoring System PAMS with different body postures and during graded walking Energy expenditure was measured using indirect calorimetry 11 subjects also wore the iPhone at different locations such as arm hand pant pocket etc RESULTS The cell phone accelerometer was accurate and precise compared to the PAMS with an intra class correlation coefficient r 2 0 98 The cell phone accelerometer showed excellent sequential increases with increased in walking velocity and energy expenditure r 2 0 9 CONCLUSION An accelerometer embedded into a cell phone was accurate and reliable in measuring and quantifying physical activity in the laboratory setting Data from free living users shows promise for deployment of a comprehensive integrated physical activity promoting and weight loss platform using such mobile technologies
- ItemFeasibility of mobile phone-based management of chronic illness.(2011-02-24) Smith, Joshua C; Schatz, Bruce RAccording to the CDC chronic conditions such as heart disease cancer and diabetes cause 75 of healthcare spending in the United States and contribute to nearly seven in ten American deaths However despite the prevalence and high cost of chronic disease they are also among the most preventable of health problems1 How can we use technology to improve self care reduce costs and lessen the burden on medical professionals Devices to help manage chronic illness have been marketed for years but are these specialized devices really necessary In this paper the authors identify the aspects of the major chronic illnesses that most need to be controlled and monitored in the US today and explore the feasibility of using current mobile phone technology to improve the management of chronic illness Here we show that even the average mobile phone is capable of improving the management of all relevant health features in some way
- ItemFiber-optic OCT sensor guided "SMART" micro-forceps for microsurgery.(2013-07-12) Song, Cheol; Park, Dong Yong; Gehlbach, Peter L; Park, Seong Jin; Kang, Jin UA handheld Smart Micromanipulation Aided Robotic surgery Tool SMART micro forceps guided by a fiber optic common path optical coherence tomography CP OCT sensor is presented A fiber optic CP OCT distance and motion sensor is integrated into the shaft of a micro forceps The tool tip position is manipulated longitudinally through a closed loop control using a piezoelectric motor This novel forceps design could significantly enhance safety efficiency and surgical outcomes The basic grasping and peeling functions of the micro forceps are evaluated in dry phantoms and in a biological tissue model As compared to freehand use targeted grasping and peeling performance assisted by active tremor compensation significantly improves micro forceps user performance
- ItemHand, belt, pocket or bag: Practical activity tracking with mobile phones.(2014-06-16) Antos, Stephen A; Albert, Mark V; Kording, Konrad PFor rehabilitation and diagnoses an understanding of patient activities and movements is important Modern smartphones have built in accelerometers which promise to enable quantifying minute by minute what patients do e g walk or sit Such a capability could inform recommendations of physical activities and improve medical diagnostics However a major problem is that during everyday life we carry our phone in different ways e g on our belt in our pocket in our hand or in a bag The recorded accelerations are not only affected by our activities but also by the phone s location Here we develop a method to solve this kind of problem based on the intuition that activities change rarely and phone locations change even less often A hidden Markov model HMM tracks changes across both activities and locations enabled by a static support vector machine SVM classifier that probabilistically identifies activity location pairs We find that this approach improves tracking accuracy on healthy subjects as compared to a static classifier alone The obtained method can be readily applied to patient populations Our research enables the use of phones as activity tracking devices without the need of previous approaches to instruct subjects to always carry the phone in the same location
- ItemHarnessing context sensing to develop a mobile intervention for depression.(2011-08-15) Burns, Michelle Nicole; Begale, Mark; Duffecy, Jennifer; Gergle, Darren; Karr, Chris J; Giangrande, Emily; Mohr, David CBACKGROUND Mobile phone sensors can be used to develop context aware systems that automatically detect when patients require assistance Mobile phones can also provide ecological momentary interventions that deliver tailored assistance during problematic situations However such approaches have not yet been used to treat major depressive disorder OBJECTIVE The purpose of this study was to investigate the technical feasibility functional reliability and patient satisfaction with Mobilyze a mobile phone and Internet based intervention including ecological momentary intervention and context sensing METHODS We developed a mobile phone application and supporting architecture in which machine learning models ie learners predicted patients mood emotions cognitive motivational states activities environmental context and social context based on at least 38 concurrent phone sensor values eg global positioning system ambient light recent calls The website included feedback graphs illustrating correlations between patients self reported states as well as didactics and tools teaching patients behavioral activation concepts Brief telephone calls and emails with a clinician were used to promote adherence We enrolled 8 adults with major depressive disorder in a single arm pilot study to receive Mobilyze and complete clinical assessments for 8 weeks RESULTS Promising accuracy rates 60 to 91 were achieved by learners predicting categorical contextual states eg location For states rated on scales eg mood predictive capability was poor Participants were satisfied with the phone application and improved significantly on self reported depressive symptoms beta week 82 P Under 001 per protocol Cohen d 3 43 and interview measures of depressive symptoms beta week 81 P Under 001 per protocol Cohen d 3 55 Participants also became less likely to meet criteria for major depressive disorder diagnosis b week 65 P 03 per protocol remission rate 85 71 Comorbid anxiety symptoms also decreased beta week 71 P Under 001 per protocol Cohen d 2 58 CONCLUSIONS Mobilyze is a scalable feasible intervention with preliminary evidence of efficacy To our knowledge it is the first ecological momentary intervention for unipolar depression as well as one of the first attempts to use context sensing to identify mental health related states Several lessons learned regarding technical functionality data mining and software development process are discussed TRIAL REGISTRATION Clinicaltrials gov NCT01107041 http clinicaltrials gov ct2 show NCT01107041 Archived by WebCite at http www webcitation org 60CVjPH0n
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