scholarly journals Smart bracelet to assess physical activity after cardiac surgery: A prospective study

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0241368
Author(s):  
Marie Hauguel-Moreau ◽  
Cécile Naudin ◽  
Lee N’Guyen ◽  
Pierre Squara ◽  
Julien Rosencher ◽  
...  

Objectives Little is known about the physical activity of patients after cardiac surgery. This study was designed to assess this activity using a connected bracelet. Methods In this prospective, monocentric study, patients scheduled for cardiac surgery were offered to wear an electronic bracelet. The main objective was to measure the physical activity recovery. Secondary objectives were the predictors of the correct use of the monitoring system, of the physical recovery and, if any, the relationship between physical activity and out-of-hospital morbidity. Results One hundred patients were included. Most patients (86%) were interested in participating in the study. The compliance to the device and to the study protocol was good (94%). At discharge, the mean number of daily steps was 1454 ± 145 steps, increasing quite homogeneously, reaching 5801±1151 steps at Day 60. The best fit regression curve gave a maximum number of steps at 5897±119 (r2 = 0.97). The 85% level of activity was achieved at Day 30±3. No predictor of noncompliance was found. At discharge, age was independently associated with a lower number of daily steps (p <0.001). At Day 60, age, peripheral arterial disease and cardio-pulmonary bypass duration were independently associated with a lower number of daily steps (p = 0.039, p = 0.041 and p = 0.033, respectively). Conclusions After cardiac surgery, wearing a smart bracelet recording daily steps is simple, well tolerated and suitable for measuring physical activity. Standard patients achieved around 6000 daily steps 2 months after discharge. 85% of this activity is reached in the first month. Clinical trial registry number NCT03113565

Author(s):  
Dennis Paulino ◽  
Arsénio Reis ◽  
Joao Barroso ◽  
Hugo Paredes

The peripheral arterial disease (PAD) is characterized by leg pain during walking, and a recommended treatment for this disease is to perform supervised physical activity. In this chapter, a system that monitories the physical activity containing one application for smartwatch, one application for smartphone, and a back-end webservice is presented. The applications collect heart rate, GPS locations, step count, and altitude data. The methodology used for the development of the system was based on the agile method with the production of prototypes. In this chapter, four development cycles, which cover the users' and researchers' needs, are presented. In this work, the main objective is to evaluate the current mobile technologies on the physical activity data collection and the development of a system that assists the users to maintain an active life.


2018 ◽  
Vol 19 (11) ◽  
pp. 677-680 ◽  
Author(s):  
Anna Vittoria Mattioli ◽  
Francesca Coppi ◽  
Mario Migaldi ◽  
Alberto Farinetti

2007 ◽  
Vol 46 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Mary McGrae McDermott ◽  
Jack M. Guralnik ◽  
Luigi Ferrucci ◽  
Lu Tian ◽  
William H. Pearce ◽  
...  

2015 ◽  
Vol 14 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Ana Tereza do Nascimento Sales ◽  
Guilherme Augusto de Freitas Fregonezi ◽  
Ana Gabriela Câmara Batista Silva ◽  
Cibele Teresinha Dias Ribeiro ◽  
Mario Emílio Teixeira Dourado-Junior ◽  
...  

BACKGROUND: Diabetes mellitus (DM) is a risk factor for peripheral arterial disease (PAD). Neither the prevalence of PAD in type 2 (T2) DM nor its detrimental effects on quality of life (QoL) or physical activity (PA) have been well described in the Brazilian population. OBJECTIVES: To evaluate the prevalence of newly diagnosed PAD and its associations with QoL, PA and body composition in a sample of T2DM patients from a University Hospital. METHODS: Seventy-three (73) T2DM patients without previous diagnoses of major complications related to T2DM were enrolled. PAD was assessed using the ankle-brachial index (ABI); QoL was measured using a translated and validated SF-36 questionnaire; PA was measured using a modified Baecke questionnaire; and body composition was measured by segmental multi-frequency bioelectrical impedance. RESULTS: PAD prevalence was 13.7%, predominantly of mild severity (ABI between 0.8-0.9). The ABI results correlated with age (ρ=-0.26, P=0.03), DM duration (ρ=-0.28, P=0.02) and systolic and diastolic blood pressure (ρ=-0.33, P=0.007 and ρ=-0.28, P=0.02; respectively). Scores for the SF-36 physical component summary (PCS) were below the normal range, but no negative impact from PAD was identified by the PCS scores (normal-ABI 42.9±11.2 vs. PAD-ABI 38.12±11.07) or the Baecke PA results. Body composition analysis detected excessive body fat, especially in women, but there was no difference between groups. CONCLUSIONS: The prevalence of previously undiagnosed PAD in this population of T2DM patients was 13.7%, predominantly mild and asymptomatic forms, and was not yet associated with worsened QoL, PA levels or body composition variables.


Circulation ◽  
2006 ◽  
Vol 114 (3) ◽  
pp. 242-248 ◽  
Author(s):  
Parveen K. Garg ◽  
Lu Tian ◽  
Michael H. Criqui ◽  
Kiang Liu ◽  
Luigi Ferrucci ◽  
...  

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