<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Johnson SA</submitter><funding>Amyotrophic Lateral Sclerosis Association (ALS Association)</funding><pagination>34</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9987377</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6(1)</volume><pubmed_abstract>Amyotrophic lateral sclerosis (ALS) therapeutic development has largely relied on staff-administered functional rating scales to determine treatment efficacy. We sought to determine if mobile applications (apps) and wearable devices can be used to quantify ALS disease progression through active (surveys) and passive (sensors) data collection. Forty ambulatory adults with ALS were followed for 6-months. The Beiwe app was used to administer the self-entry ALS functional rating scale-revised (ALSFRS-RSE) and the Rasch Overall ALS Disability Scale (ROADS) surveys every 2-4 weeks. Each participant used a wrist-worn activity monitor (ActiGraph Insight Watch) or an ankle-worn activity monitor (Modus StepWatch) continuously. Wearable device wear and app survey compliance were adequate. ALSFRS-R hi</pubmed_abstract><journal>NPJ digital medicine</journal><pubmed_title>Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures.</pubmed_title><pmcid>PMC9987377</pmcid><funding_grant_id>22-PDF-604</funding_grant_id><pubmed_authors>Iwasaki S</pubmed_authors><pubmed_authors>Iyer AS</pubmed_authors><pubmed_authors>Clark AP</pubmed_authors><pubmed_authors>Karas M</pubmed_authors><pubmed_authors>Burke KM</pubmed_authors><pubmed_authors>Straczkiewicz M</pubmed_authors><pubmed_authors>Scheier ZA</pubmed_authors><pubmed_authors>Johnson SA</pubmed_authors><pubmed_authors>Berry JD</pubmed_authors><pubmed_authors>Lahav A</pubmed_authors><pubmed_authors>Onnela JP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures.</name><description>Amyotrophic lateral sclerosis (ALS) therapeutic development has largely relied on staff-administered functional rating scales to determine treatment efficacy. We sought to determine if mobile applications (apps) and wearable devices can be used to quantify ALS disease progression through active (surveys) and passive (sensors) data collection. Forty ambulatory adults with ALS were followed for 6-months. The Beiwe app was used to administer the self-entry ALS functional rating scale-revised (ALSFRS-RSE) and the Rasch Overall ALS Disability Scale (ROADS) surveys every 2-4 weeks. Each participant used a wrist-worn activity monitor (ActiGraph Insight Watch) or an ankle-worn activity monitor (Modus StepWatch) continuously. Wearable device wear and app survey compliance were adequate. ALSFRS-R hi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Mar</publication><modification>2025-04-21T19:49:23.399Z</modification><creation>2025-02-19T02:21:51.773Z</creation></dates><accession>S-EPMC9987377</accession><cross_references><pubmed>36879025</pubmed><doi>10.1038/s41746-023-00778-y</doi></cross_references></HashMap>