Estimation of Energy Expenditure in Wheelchair-Bound Spinal Cord Injured Individuals Using Inertial Measurement Units

Popp, Werner; Richner, Lea; Brogioli, Michael; Wilms, Britta; Spengler, Christina M.; Curt, Armin; Starkey, Malcolm; Gassert, Roger

doi:10.3389/fneur.2018.00478

Cited by 16 publications

(32 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While tetraplegic patients show a much higher between-subject variance, this might be a hint that LPA could be influenced by the level of impairment of the upper limbs. LPA is likely to represent activities of daily living, as demonstrated earlier (35). Assuming that a large amount of activities of daily living (not involving mobility), e.g., feeding, showering, and dressing are equally presented in each patient, LPA should not vary strongly between single patients.…”

Section: Discussionmentioning

confidence: 57%

“…Lastly, PA intensity levels were estimated from activity counts based on a previous study. Dedicated algorithms for the direct estimation of energy expenditure (35, 61) or direct measurements of energy expenditure might lead to slightly altered results, but the latter is very challenging to perform especially with acute patients due to the required equipment and the extensive protocol including standardized food intake and calibration phases.…”

Section: Discussionmentioning

confidence: 99%

“…Different intensity levels of PA were defined by using AC cut-off values. These cut-off values were derived from previous energy expenditure measures in combination with IMU data (35). The intensity levels were defined by means of the metabolic equivalence of task (MET) adapted for SCI (36), where sedentary activities ( SED ) corresponded to a MET level below 1.5, low physical activity ( LPA ) to a MET value between 1.5 and 3, and moderate-to-vigorous activities ( MVPA ) corresponded to a MET level above 3.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Reliability of Wearable-Sensor-Derived Measures of Physical Activity in Wheelchair-Dependent Spinal Cord Injured Patients

et al. 2018

Self Cite

View full text Add to dashboard Cite

Physical activity (PA) has been shown to have a positive influence on functional recovery in patients after a spinal cord injury (SCI). Hence, it can act as a confounder in clinical intervention studies. Wearable sensors are used to quantify PA in various neurological conditions. However, there is a lack of knowledge about the inter-day reliability of PA measures. The objective of this study was to investigate the single-day reliability of various PA measures in patients with a SCI and to propose recommendations on how many days of PA measurements are required to obtain reliable results. For this, PA of 63 wheelchair-dependent patients with a SCI were measured using wearable sensors. Patients of all age ranges (49.3 ± 16.6 years) and levels of injury (from C1 to L2, ASIA A-D) were included for this study and assessed at three to four different time periods during inpatient rehabilitation (2 weeks, 1 month, 3 months, and if applicable 6 months after injury) and after in-patient rehabilitation in their home-environment (at least 6 months after injury). The metrics of interest were total activity counts, PA intensity levels, metrics of wheeling quantity and metrics of movement quality. Activity counts showed consistently high single-day reliabilities, while measures of PA intensity levels considerably varied depending on the rehabilitation progress. Single-day reliabilities of metrics of movement quantity decreased with rehabilitation progress, while metrics of movement quality increased. To achieve a mean reliability of 0.8, we found that three continuous recording days are required for out-patients, and 2 days for in-patients. Furthermore, the results show similar weekday and weekend wheeling activity for in- and out-patients. To our knowledge, this is the first study to investigate the reliability of an extended set of sensor-based measures of PA in both acute and chronic wheelchair-dependent SCI patients. The results provide recommendations for sensor-based assessments of PA in clinical SCI studies.

show abstract

Section: Discussionmentioning

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Reliability of Wearable-Sensor-Derived Measures of Physical Activity in Wheelchair-Dependent Spinal Cord Injured Patients

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The included articles in this review either specifically detected active self-propulsion of wheeling activities [ 97 , 98 ] or discriminated between active self-propulsion and being pushed passively [ 17 , 29 , 32 , 62 , 99 – 101 ]. Studies that did not distinguish between active and passive wheeling bouts were not included in this review since they did not specifically address a motor activity.…”

Section: Resultsmentioning

confidence: 99%

Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments

Rast

Labruyère

2020

J NeuroEngineering Rehabil

View full text Add to dashboard Cite

Background Recent advances in wearable sensor technologies enable objective and long-term monitoring of motor activities in a patient’s habitual environment. People with mobility impairments require appropriate data processing algorithms that deal with their altered movement patterns and determine clinically meaningful outcome measures. Over the years, a large variety of algorithms have been published and this review provides an overview of their outcome measures, the concepts of the algorithms, the type and placement of required sensors as well as the investigated patient populations and measurement properties. Methods A systematic search was conducted in MEDLINE, EMBASE, and SCOPUS in October 2019. The search strategy was designed to identify studies that (1) involved people with mobility impairments, (2) used wearable inertial sensors, (3) provided a description of the underlying algorithm, and (4) quantified an aspect of everyday life motor activity. The two review authors independently screened the search hits for eligibility and conducted the data extraction for the narrative review. Results Ninety-five studies were included in this review. They covered a large variety of outcome measures and algorithms which can be grouped into four categories: (1) maintaining and changing a body position, (2) walking and moving, (3) moving around using a wheelchair, and (4) activities that involve the upper extremity. The validity or reproducibility of these outcomes measures was investigated in fourteen different patient populations. Most of the studies evaluated the algorithm’s accuracy to detect certain activities in unlabeled raw data. The type and placement of required sensor technologies depends on the activity and outcome measure and are thoroughly described in this review. The usability of the applied sensor setups was rarely reported. Conclusion This systematic review provides a comprehensive overview of applications of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments. It summarizes the state-of-the-art, it provides quick access to the relevant literature, and it enables the identification of gaps for the evaluation of existing and the development of new algorithms.

show abstract

“…The score can range from 0 to 100 points, across three subdomains; self-care scores from 0 to 20, respiration and sphincter management scores from 0 to 40, and mobility scores from 0 to 40. The questionnaire contained 19 items, covering all the three subdomains [18].…”

Section: Measurementmentioning

confidence: 99%

Upper extremity musculoskeletal pain during rehabilitation in persons with spinal cord injuries using manual wheelchairs

Kang¹,

Cho

Kim

et al. 2019

PTRS

View full text Add to dashboard Cite

The purpose of this study was to investigate the relationship between physical features, strength, function, and upper extremity musculoskeletal pain during rehabilitation of manual wheelchair users with spinal cord injuries. Design: Cross-sectional study. Methods: The degree and frequency of upper extremity musculoskeletal pain were measured in persons with spinal cord injuries using manual wheelchairs with the use of questionnaires. The pain scores of the hand, wrist, and shoulder joints were calculated by multiplying the seriousness and frequency of pain. We collected data on the manual muscle test, Spinal Cord Independent Measure-III, and the Body Mass Index. Statistical analysis was performed by descriptive analysis and Pearson's correlation analysis. Results: A total of 47 patients participated in this study and the neurological level of the injuries ranged from C2 to S5. Pain in the shoulder joints was the most common in persons with tetraplegia and paraplegia. Pain was experienced as mild to moderate, and occurred one or more times a week. Of the 32 persons with paraplegia, the most common area of complaint was the shoulder. Of the 15 persons with paraplegia, the shoulder joints were the most common site of pain. The independence levels of the persons with spinal cord injuries were highly correlated to muscle strength levels (p<0.05). Conclusions: This study investigated upper extremity musculoskeletal pain during rehabilitation of manual wheelchair users with spinal cord injuries and the relationship between physical features, strength, and function. In most persons with spinal cord injuries, pain and frequency of shoulder joints were high and pain levels were also related to functional levels.

show abstract

Estimation of Energy Expenditure in Wheelchair-Bound Spinal Cord Injured Individuals Using Inertial Measurement Units

Cited by 16 publications

References 72 publications

Reliability of Wearable-Sensor-Derived Measures of Physical Activity in Wheelchair-Dependent Spinal Cord Injured Patients

Reliability of Wearable-Sensor-Derived Measures of Physical Activity in Wheelchair-Dependent Spinal Cord Injured Patients

Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments

Upper extremity musculoskeletal pain during rehabilitation in persons with spinal cord injuries using manual wheelchairs

Contact Info

Product

Resources

About