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researcher

Aki Rintala

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2
ORCID 0000-0002-0066-4697

identity via Semantic Scholar / OpenAlex

most citedChallenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

45 citations · 45 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2022★ 45 cited

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28

A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…

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…

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