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researcher

C. Stewart

17 papers hereh-index 161.1k citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author14

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • stat.AP7
  • q-bio.QM5
  • cs.CL1
  • cs.CV1
  • cs.CY1
  • eess.SP1
same name
  • C. Stewart — 11 papers, h 21
  • C. Stewart — 6 papers, h 5
  • C. Stewart — 4 papers, h 16
  • C. Stewart — 3 papers, h 6
  • C. Stewart — 3 papers, h 8
  • C. Stewart — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedUsing smartphones and wearable devices to monitor behavioural changes during COVID-19

204 citations · 480 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

q-bio.QM2021

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang +25

Multiple sclerosis (MS) is a progressive inflammatory and neurodegenerative disease of the central nervous system affecting over 2.5 million people globally. In-clinic six-minute w…

stat.ML2021★ 78 cited

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +21

The Bluetooth sensor embedded in mobile phones provides an unobtrusive, continuous, and cost-efficient means to capture individuals' proximity information, such as the nearby Bluet…

eess.SP2021★ 1 cited

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate

Shuo Liu, Jing Han, Estela Laporta Puyal +26

This study investigates the potential of deep learning methods to identify individuals with suspected COVID-19 infection using remotely collected heart-rate data. The study utilise…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.