An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study
An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study
Sara Popham
1
, PhD
;
Maximilien Burq
1
, PhD
;
Erin E Rainaldi
1
, MSc
;
Sooyoon Shin
1
, PhD
;
Jessilyn Dunn
2, 3, 4
, PhD
;
Ritu Kapur
1
, PhD
1
Verily Life Sciences
,
South San Francisco
,
CA
,
US
2
Department of Biomedical Engineering
,
Duke University
,
Durham
,
NC
,
US
3
Department of Biostatistics & Bioinformatics
,
Duke University
,
Durham
,
NC
,
US
4
Duke Clinical Research Institute
,
Durham
,
NC
,
US