Energy expenditure and oxygen consumption during activities of daily living in people with multiple sclerosis and healthy subjects: an ecological approach to estimate real-life fatigue and fatigability

Author(s):  
Andrea Manca ◽  
Lucia Ventura ◽  
Gianluca Martinez ◽  
Antonella Cano ◽  
Gabriele Matta ◽  
...  
2021 ◽  
Vol 57 (2) ◽  
pp. 177-183
Author(s):  
Seong Hyun Moon ◽  
◽  
Rahul Soangra ◽  
Christopher F. Frames ◽  
Thurmon E. Lockhart ◽  
...  

Parkinson’s Disease (PD) is a neurodegenerative disorder affecting the substantia nigra, which leads to more than half of PD patients are considered to be at high risk of falling. Recently, Inertial Measurement Unit (IMU) sensors have shown great promise in the classification of activities of daily living (ADL) such as walking, standing, sitting, and laying down, considered to be normal movement in daily life. Measuring physical activity level from longitudinal ADL monitoring among PD patients could provide insights into their fall mechanisms. In this study, six PD patients (mean age=74.3±6.5 years) and six young healthy subjects (mean age=19.7±2.7 years) were recruited. All the subjects were asked to wear the single accelerometer, DynaPort MM+ (Motion Monitor+, McRoberts BV, The Hague, Netherlands), with a sampling frequency of 100 Hz located at the L5-S1 spinal area for 3 days. Subjects maintained a log of activities they performed and only removed the sensor while showering or performing other aquatic activities. The resultant acceleration was filtered using high and low pass Butterworth filters to determine dynamic and stationary activities. As a result, it was found that healthy young subjects performed significantly more dynamic activities (13.2%) when compared to PD subjects (7%), in contrast, PD subjects (92.9%) had significantly more stationary activities than young healthy subjects (86.8%).


Author(s):  
Jelka Jansa ◽  
Sofie Ferdinand ◽  
Meta Milo ◽  
Inger G Løyning ◽  
Tarja Huilla ◽  
...  

2018 ◽  
Vol 23 ◽  
pp. 69-73
Author(s):  
Leigh E. Charvet ◽  
Michael T. Shaw ◽  
Kathleen Sherman ◽  
Shannon Haas ◽  
Lauren B. Krupp

2016 ◽  
Vol 13 (s1) ◽  
pp. S3-S6 ◽  
Author(s):  
Wonwoo Byun ◽  
Allison Barry ◽  
Jung-Min Lee

Background:There has been a call for updating the Youth Compendium of Energy Expenditure (YCEE) by including energy expenditure (EE) data of young children (ie, < 6-year-old children). Therefore, this study examined the activity EE in 3 to 6 year old children using indirect calorimetry.Methods: Using Oxycon Mobile portable indirect calorimetry, both the oxygen consumption (VO2) and the EE of 28 children (Girls: 46%, Age: 4.8 ± 1.0, BMI: 16.4 ± 1.6) were measured while they performed various daily living activities (eg, watching TV, playing with toys, shooting baskets, soccer).Results:Across physical activities, averages of VO2 (ml·kg·min-1), VO2 (L·min-1), and EE ranged from 8.9 ± 1.5 to 33.3 ± 4.8 ml·kg·min-1, from 0.17 ± 0.04 to 0.64 ± 0.16 L·min-1, and from 0.8 ± 0.2 to 3.2 ± 0.7 kcal·min-1, respectively.Conclusions:These findings will contribute to the upcoming YCEE update.


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Ravoori Hena ◽  
Gopala Krishna Alaparthi ◽  
K. Shyam Krishnan ◽  
R. Anand ◽  
Vishak Acharya ◽  
...  

Background. Bronchiectasis is a chronic respiratory condition characterised by chronic sputum production, fatigue, and dyspnoea. These symptoms will lead to reduced exercise capacity and a reduced ability to carry out activities of daily living. Glittre ADL test is a valid and reliable test which evaluates the activities of daily living. Aim. To investigate whether the Glittre ADL test can differentiate the functional capacity and cardiorespiratory responses of patients with bronchiectasis from those healthy individuals using the six-minute test as a functional performance standard. Methods. This study included 30 subjects: 15 bronchiectasis and 15 age- and gender-matched healthy subjects. The patients and healthy subjects were made to perform the Glittre ADL and six-minute test on two consecutive days. Parameters such as time taken, distance walked, HR, RR, SpO2, and dyspnoea were recorded before and after the tests. Results. The performance of bronchiectasis was worse than the healthy group on the Glittre ADL test (4.78 ± 1.33 min, 3.94 ± 0.82 min, p=0.04). Distance walked in the six-minute walk test by the bronchiectasis was 42 meters lesser than the healthy (400.33 ± 77.99, 442 ± 89.21, p=0.18). The Glittre ADL test was correlated with 6MWT when the total sample was analysed (r=−0.41,p=0.05). There was moderate positive correlation between heart rate variation, dyspnoea, respiratory rate, and peripheral saturation (SpO2) between the tests (Glittre heart rate versus six-minute walk test heart rate (r=0.55,p=0.001); Glittre (Borg) versus six-minute walk test (Borg) (r=0.72,p=0.00); Glittre respiratory rate versus six-minute walk test RR (r=0.62,p=0.00); Glittre SpO2 versus six-minute walk test SpO2 (r=0.40,p=0.02)). The bronchiectasis group had a statistically significant higher (p=0.08,p=0.46) increase in dyspnoea and RR than the controls in both the Glittre ADL test and six-minute walk test (p=0.009,p=0.03), with the similar HR variation in both the groups (p>0.05). There was statistical difference in peripheral oxygen saturation in bronchiectasis in the six-minute walk test (p=0.03). Conclusion. The Glittre ADL test induced similar cardiorespiratory responses when compared to the six-minute walk test. So, the Glittre ADL test can be used as an assessment tool besides the six-minute walk test for the more complete evaluation of functional capacity and activities of daily living.


2020 ◽  
Vol 10 (7) ◽  
pp. 2475
Author(s):  
Seong Su Keum ◽  
Yu Jin Park ◽  
Soon Ju Kang

Activities of daily living (ADL) are important indicators for awareness of brain health in the elderly, and hospitals use ADL as a standard test for diagnosing chronic brain diseases such as dementia. However, since it is difficult to judge real-life ADL in hospitals, doctors typically predict ADL ability through interviews with patients or accompanying caregivers. Recently, many studies have attempted to diagnose accurate brain health by collecting and analyzing the real-life ADL of patients in their living environments. However, most of these were conducted by constructing and implementing expensive smart homes with the concept of centralized computing, and ADL data were collected from simple data about patients’ home appliance usage and the surrounding environment. Despite the high cost of building a smart home, the collected ADL data are inadequate for predicting accurate brain health. In this study, we developed and used three types of portable devices (wearable, tag, and stationary) that can be easily installed and operated in typical existing houses. We propose a self-organized device network structure based on edge computing that can perform user perception, location perception, and behavioral perception simultaneously. This approach enables us to collect user activity data, analyze ADL in real-time to determine if the user’s behavior was successful or abnormal, and record the physical ability of the user to move between fixed spaces. The characteristics of this proposed system enable us to distinguish patients from other family members and provide real-time notifications after a forgetful or mistaken action. We implemented devices that constitute the edge network of the smart home scenario and evaluated the performance of this system to verify its usefulness.


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