In-lab Assessment of a Sternum-Worn Accelerometer to Measure Gait Speed in Healthy Individuals (P3-11.010)

CAMERLINGO, NUNZIO; Welbourn, Miles; Psaltos, Dimitrios; Messere, Andrew; Zhang, Hao; Demanuele, Charmaine; Santamaria, Mar; Adamowicz, Lukas; Karahanoğlu, Fikret Işık; Cai, Xuemei

doi:10.1212/wnl.0000000000202383

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future directions include applying SKDH gait to other form factors that are relevant to patient populations including chest accelerometry 53 which, in particular, may be of interest to patients with cardiovascular diseases as many implanted devices as well as externally worn ECG patches also contain an accelerometer placed in the sternal position. Additionally, there are some technology companies that have designed pendants that are worn around the neck that sit upon the chest for which this algorithm may be applied.…”

Section: Discussionmentioning

confidence: 99%

In-Clinic and Natural Gait Observations (I-CAN-GO): A Master Protocol to Validate Gait using a Lumbar Accelerometer

Welbourn,

Sheriff,

Tuttle

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Traditional measurements of gait are typically performed in clinical or laboratory settings where functional assessments are used to collect episodic data, which may not reflect naturalistic gait and activity patterns. The emergence of digital health technologies has enabled reliable and continuous representation of gait and activity in free-living environments. To provide further evidence for naturalistic gait characterization, we aimed to validate and evaluate the performance of a method for measuring gait derived from a single lumbar-worn accelerometer with respect to reference methods. This evaluation included distinguishing between participants’ self-perceived different gait speed levels, and effects of different floor surfaces such as carpet and tile on walking performance, and performance under different bouts, speed, and duration of walking during a wide range of simulated daily activities. Using data from 20 healthy adult participants, we found different self-paced walking speeds and floor surface effects can be accurately characterized. Furthermore, we showed accurate representation of gait and activity during simulated daily living activities and longer bouts of outside walking. Participants in general found that the devices were comfortable. These results extend our previous validation of the method to more naturalistic setting and increases confidence of implementation at-home.

show abstract

Section: Discussionmentioning

confidence: 99%