Browsing by Author "Mellone, Sabato"
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- ItemComparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years Old.(0000-00-00) Coni, Alice; Ancum, Jeanine M Van; Bergquist, Ronny; Mikolaizak, A Stefanie; Mellone, Sabato; Chiari, Lorenzo; Maier, Andrea B; Pijnappels, MirjamAssessment of physical performance by standard clinical tests such as the 30 sec Chair Stand 30CST and the Timed Up and Go TUG may allow early detection of functional decline even in high functioning populations and facilitate preventive interventions Inertial sensors are emerging to obtain instrumented measures that can provide subtle details regarding the quality of the movement while performing such tests We compared standard clinical with instrumented measures of physical performance in their ability to distinguish between high and very high functional status stratified by the Late Life Function and Disability Instrument LLFDI We assessed 160 participants from the PreventIT study 66 3 2 4 years 87 females median LLFDI 72 31 range 44 33 100 performing the 30CST and TUG while a smartphone was attached to their lower back The number of 30CST repetitions and the stopwatch based TUG duration were recorded Instrumented features were computed from the smartphone embedded inertial sensors Four logistic regression models were fitted and the Areas Under the Receiver Operating Curve AUC were calculated and compared using the DeLong test Standard clinical and instrumented measures of 30CST both showed equal moderate discriminative ability of 0 68 95 CI 0 60 0 76 p 0 97 Similarly for TUG AUC was 0 68 95 CI 0 60 0 77 and 0 65 95 CI 0 56 0 73 respectively p 0 26 In conclusion both clinical and instrumented measures recorded through a smartphone can discriminate early functional decline in healthy adults aged 61 70 years
- ItemComplexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.(0000-00-00) Zhang, Wei; Schwenk, Michael; Mellone, Sabato; Paraschiv-Ionescu, Anisoara; Vereijken, Beatrix; Pijnappels, Mirjam; Mikolaizak, A Stefanie; Boulton, Elisabeth; Jonkman, Nini H; Maier, Andrea B; Klenk, Jochen; Helbostad, Jorunn; Taraldsen, Kristin; Aminian, KamiarThe emerging mHealth applications incorporating wearable sensors enables continuous monitoring of physical activity PA This study aimed at analyzing the relevance of a multivariate complexity metric in assessment of functional change in younger older adults Thirty individuals 60 70 years old participated in a 4 week home based exercise intervention The Community Balance and Mobility Scale CBMS was used for clinical assessment of the participantsAndrsquo functional balance and mobility performance pre and post intervention Accelerometers worn on the low back were used to register PA of one week before and in the third week of the intervention Changes in conventional univariate PA metrics percentage of walking and sedentary time step counts mean cadence and complexity were compared to the change as measured by the CBMS Statistical analyses 21 participants showed significant rank correlation between the change as measured by complexity and CBMS Andrho 0 47 p 0 03 Smoothing the activity output improved the correlation Andrho 0 58 p 0 01 In contrast change in univariate PA metrics did not show correlations These findings demonstrate the high potential of the complexity metric being useful and more sensitive than conventional PA metrics for assessing functional changes in younger older adults
- ItemDimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test.(2012-01-18) Palmerini, Luca; Mellone, Sabato; Rocchi, Laura; Chiari, LorenzoThe Timed Up and Go is a clinical test to assess mobility in the elderly and in Parkinson s disease Lately instrumented versions of the test are being considered where inertial sensors assess motion To improve the pervasiveness ease of use and cost we consider a smartphone s accelerometer as the measurement system Several parameters usually highly correlated can be computed from the signals recorded during the test To avoid redundancy and obtain the features that are most sensitive to the locomotor performance a dimensionality reduction was performed through principal component analysis PCA Forty nine healthy subjects of different ages were tested PCA was performed to extract new features principal components which are not redundant combinations of the original parameters and account for most of the data variability They can be useful for exploratory analysis and outlier detection Then a reduced set of the original parameters was selected through correlation analysis with the principal components This set could be recommended for studies based on healthy adults The proposed procedure could be used as a first level feature selection in classification studies i e healthy Parkinson s disease fallers non fallers and could allow in the future a complete system for movement analysis to be incorporated in a smartphone
- ItemImplementing behaviour change theory and techniques to increase physical activity and prevent functional decline among adults aged 61-70: The PreventIT project.(0000-00-00) Boulton, Elisabeth; Hawley-Hague, Helen; French, David P; Mellone, Sabato; Zacchi, Anna; Clemson, Lindy; Vereijken, Beatrix; Todd, ChrisThe health and wellbeing benefits of engaging in physical activity PA and of improving strength and balance are well documented The World Health Organization s recommendations of 150 min per week of moderate intensity physical activity have been adopted across the world in policy and practice recommendations However the number of older adults engaging in this level of PA remains low The European Project PreventIT has adapted the Lifestyle integrated Functional Exercise LiFE programme which reduced falls in people 75 years and over for a younger cohort aLiFE aLiFE incorporates challenging strength and balance agility tasks as well as specific recommendations for increasing physical activity and reducing sedentary behaviour in young older adults aged 60 70 years Personalised advice is given on how to integrate strength balance and physical activities into daily life aLiFE has been further developed to be delivered using smartphones and smartwatches eLiFE providing the opportunity to send timely motivational messages and real time feedback to the user Both aLiFE and eLiFE are behaviour change interventions supporting older adults to form long term physical activity habits PreventIT has taken the original LiFE concept and further developed the behaviour change elements explicitly mapping them to Social Cognitive Theory Habit Formation Theory and 30 Behaviour Change Techniques BCTs Goal setting planning prompts and real time feedback are used to deliver a person centred experience Over 1300 motivational messages have been written mapped to psychological theory BCTs and evidence regarding the importance of strength balance and PA A motivational assessment tool has been developed to enable us to investigate stated motivational drivers with actual performed behaviour within the feasibility Randomised Controlled Trial The PreventIT mHealth intervention focusses on behaviour change from initiation to long term maintenance addressing the different phases of adopting a healthier lifestyle As such it makes a strong contribution to the developing field of evidence based mobile health mHealth ABBREVIATIONS AND ACRONYMS
- ItemSupervised versus unsupervised technology-based levodopa monitoring in Parkinson's disease: an intrasubject comparison.(0000-00-00) Lopane, Giovanna; Mellone, Sabato; Corzani, Mattia; Chiari, Lorenzo; Cortelli, Pietro; Calandra-Buonaura, Giovanna; Contin, ManuelaWe aimed to assess the intrasubject reproducibility of a technology based levodopa LD therapeutic monitoring protocol administered in supervised versus unsupervised conditions in patients with Parkinson s disease PD The study design was pilot intrasubject single center open and prospective Twenty patients were recruited Patients performed a standardized monitoring protocol instrumented by an ad hoc embedded platform after their usual first morning LD dose in two different randomized ambulatory sessions one under a physician s supervision the other self administered The protocol is made up of serial motor and non motor tests including alternate finger tapping Timed Up and Go test and measurement of blood pressure Primary motor outcomes included comparisons of intrasubject LD subacute motor response patterns over the 3 h test in the two experimental conditions Secondary outcomes were the number of intrasession serial test repetitions due to technical or handling errors and patients satisfaction with the unsupervised LD monitoring protocol Intrasubject LD motor response patterns were concordant between the two study sessions in all patients but one Platform handling problems averaged 4 of total planned serial tests for both sessions Ninety five percent of patients were satisfied with the self administered LD monitoring protocol To our knowledge this study is the first to explore the potential of unsupervised technology based objective motor and non motor tasks to monitor subacute LD dosing effects in PD patients The results are promising for future telemedicine applications
- ItemValidity of a Smartphone-based instrumented Timed Up and Go.(2012-06-11) Mellone, Sabato; Tacconi, Carlo; Chiari, LorenzoThe Timed Up and Go TUG is one of the most widely used clinical tests to assess balance and mobility An instrumented Timed Up and Go iTUG makes use of a specialized measurement system e g an accelerometer to identify and evaluate specific mobility skills Nowadays a Smartphone SP comes with a large set of embedded sensors including an accelerometer An SP is a user friendly device able to perform ubiquitous sensing with a variety of connectivity options In this study we evaluate the validity of an SP for instrumenting the TUG We examined 49 subjects 59 16 years old without defining any inclusion criteria using both an SP and a McRoberts Dynaport Hybrid a device specifically designed for movement analysis The statistical agreement between the two measurement systems is good for some of the parameters described in literature which are of clear clinical value Inter rater reliability is often excellent and intra rater reliability has been assessed in a subgroup of 25 subjects finding the same results for the two devices In conclusion we found evidence that the SP is capable of becoming a pervasive and low cost tool for the quantitative analysis of balance and mobility