<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="letter"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id><journal-id journal-id-type="publisher-id">formative</journal-id><journal-id journal-id-type="index">27</journal-id><journal-title>JMIR Formative Research</journal-title><abbrev-journal-title>JMIR Form Res</abbrev-journal-title><issn pub-type="epub">2561-326X</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v10i1e99624</article-id><article-id pub-id-type="doi">10.2196/99624</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Letter</subject></subj-group></article-categories><title-group><article-title>Ambulatory Heart Rate Variability Monitoring in Depressed and Suicidal Adolescents Receiving Intensive Outpatient Treatment: Feasibility Study</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Scott</surname><given-names>Lori N</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Goldstein</surname><given-names>Tina R</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Manna</surname><given-names>Lillian L</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Rice</surname><given-names>Dawn</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Owoputi</surname><given-names>Olaoluwa</given-names></name><degrees>MSE</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Franzen</surname><given-names>Peter L</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Psychiatry, School of Medicine, University of Pittsburgh</institution><addr-line>3811 O'Hara Street</addr-line><addr-line>Pittsburgh</addr-line><addr-line>PA</addr-line><country>United States</country></aff><aff id="aff2"><institution>University of Pittsburgh Medical Center</institution><addr-line>Pittsburgh</addr-line><addr-line>PA</addr-line><country>United States</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Balcarras</surname><given-names>Matthew</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Torad</surname><given-names>Ahmed</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Yu</surname><given-names>Zhiqian</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Lori N Scott, PhD, Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, United States, 1 4126484565; <email>scottln2@upmc.edu</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>7</day><month>8</month><year>2026</year></pub-date><volume>10</volume><elocation-id>e99624</elocation-id><history><date date-type="received"><day>27</day><month>04</month><year>2026</year></date><date date-type="rev-recd"><day>22</day><month>07</month><year>2026</year></date><date date-type="accepted"><day>22</day><month>07</month><year>2026</year></date></history><copyright-statement>&#x00A9; Lori N Scott, Tina R Goldstein, Lillian L Manna, Dawn Rice, Olaoluwa Owoputi, Peter L Franzen. Originally published in JMIR Formative Research (<ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>), 7.8.2026. </copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://formative.jmir.org/2026/1/e99624"/><abstract><p>Continuous ambulatory HF-HRV (high-frequency heart rate variability) monitoring using a chest-worn ECG (electrocardiogram) device met a priori feasibility benchmarks (&#x2265;75% compliance and data quality) in adolescents at high risk for suicide over approximately two to three weeks, including during school days and sleep.</p></abstract><kwd-group><kwd>heart rate variability</kwd><kwd>ambulatory assessment</kwd><kwd>adolescents</kwd><kwd>wearable sensors</kwd><kwd>feasibility</kwd><kwd>suicidal ideation</kwd><kwd>depression</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Suicide risk in adolescence fluctuates over short time scales and is shaped by affective and contextual processes [<xref ref-type="bibr" rid="ref1">1</xref>]. Continuous naturalistic assessment of psychophysiological markers may improve understanding of proximal risk states and inform timely intervention strategies [<xref ref-type="bibr" rid="ref2">2</xref>]. High-frequency heart rate variability (HF-HRV; 0.15&#x2010;0.40 Hz), reflecting parasympathetic nervous system activity, has been linked to emotion regulation capacity and affective flexibility [<xref ref-type="bibr" rid="ref3">3</xref>]. Lower resting HF-HRV and altered HF-HRV reactivity have been associated with suicidal ideation and behavior beyond depressive and anxiety symptoms [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref6">6</xref>].</p><p>However, most studies linking HF-HRV to suicide risk have relied on laboratory or cross-sectional designs. Ambulatory monitoring may better capture real-world fluctuations in suicidal ideation, which often emerge outside clinical settings and may be influenced by sleep and daily demands [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. Chest-worn electrocardiogram (ECG) sensors provide superior signal quality compared with wrist-based photoplethysmography devices [<xref ref-type="bibr" rid="ref8">8</xref>], yet no prior studies with adolescents used chest-worn devices for more than one week. Chest-worn devices may pose feasibility challenges including discomfort, visibility under clothing, interference with daily activities, and susceptibility to user error, especially among distressed adolescents. Hence, the long-term feasibility for their use in adolescents receiving intensive psychiatric care remains unclear.</p><p>This study evaluated the feasibility of continuous HF-HRV monitoring over 2&#x2010;3 weeks using a research-grade chest-worn ECG sensor in adolescents receiving intensive outpatient treatment for depression and suicidality. Our target benchmarks, specified a priori, were &#x2265;75% for both compliance (sensor wear time) and data quality (valid HRV data). We also examined whether feasibility varied over time, by sleep and wake periods, or by school attendance.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Participants and Procedures</title><p>Participants were 121 adolescents (ages 13&#x2010;18) enrolled between September 2021 and October 2023 from intensive outpatient and partial hospitalization programs specializing in depression and suicidality. Eligibility required endorsement of suicidal thoughts in the past month per self-report or clinical evaluation.</p><p>Following baseline questionnaires and clinical interviews, participants were asked to wear a chest-worn ECG sensor (Movisens ECGMove4; 1024 Hz) on an elastic strap continuously for 14 days, with the option to continue for an additional 7 days. As an alternative, 6% of participants elected to use disposable chest electrodes. Participants were instructed to charge the ECG sensor daily (~10&#x2010;15 min) and to remove it for activities that risked damage. Participants received escalating daily compensation ($5&#x2010;10/d) contingent on &#x2265;20 hours of wear. ECG data were analyzed in 60-second epochs using automated R-peak detection and artifact handling in DataAnalyzer software (Movisens GmbH, Germany). The software also provided automatic detection of sensor wear (per epoch) based on acceleration data. Compliance was defined as the proportion of intended monitoring minutes during the scheduled monitoring period during which the sensor was worn. Data quality was defined as the proportion of valid HRV values produced by the DataAnalyzer software during periods when the sensor was worn.</p><p>Participants also wore research-grade wrist actigraphs (CentrePoint Insight Watch, Ametris, Pensacola FL) to collect daily sleep data. Sleep periods (including naps) were identified using standard algorithms (Cole-Kripke and Tudor-Locke) in ActiLife software version 6.13.5 (Ametris, Pensacola, FL). Actigraphy data were available for 97.7% of ECG measurement minutes (of which 35.2% were during sleep).</p><p>Participants also completed morning and evening daily diary surveys via SMS or email links to a secure online platform (n=1485 days [91.8%] completion). Evening diary items included school attendance using predefined categories (in-person, virtual, no school, nonschool day).</p></sec><sec id="s2-2"><title>Data Analysis</title><p>Descriptive statistics summarized feasibility outcomes. Bivariate correlations, <italic>&#x03C7;</italic><sup>2</sup> tests, and <italic>t</italic>-tests explored demographic and clinical differences in feasibility metrics. Linear mixed-effects models (restricted maximum likelihood; SPSS version 29.0) examined time (days), sleep vs wake, and school attendance effects on compliance and data quality.</p></sec><sec id="s2-3"><title>Ethical Considerations</title><p>This study was approved by the University of Pittsburgh Institutional Review Board (STUDY20110313). Adolescents provided assent, and parents provided written informed consent.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><p>Demographic and clinical characteristics are shown in <xref ref-type="table" rid="table1">Table 1</xref>. Of 121 enrolled adolescents, 100 (82.6%) provided ECG data. Among those without ECG data, 9 declined due to discomfort and 12 agreed but never wore the sensor. Participants without ECG data had marginally lower SES (<italic>t</italic>(119) = 1.96, <italic>P</italic>=.05) and were more likely to identify as non-White (<italic>&#x03C7;<sup>2</sup></italic>(1)=5.22, <italic>P</italic>=.02); they did not differ on age, sex at birth, ethnicity, age at depression onset, level of suicidal ideation, or suicide attempt history (see <xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Demographic and clinical characteristics. Socioeconomic status was assessed using the Hollingshead Four-Factor Index of Social Status [<xref ref-type="bibr" rid="ref9">9</xref>]. Percentages may not sum to 100% due to missing data. All participants endorsed suicidal thoughts at study enrollment per the participant's treatment team or self-report in the past month and were allowed to continue in the study even if they denied suicidal ideation in the C-SSRS<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup> interview.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics</td><td align="left" valign="bottom" colspan="2">Participants (n=121)</td><td align="left" valign="bottom" colspan="2">Missing ECG<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup><break/>(n=21)</td><td align="left" valign="bottom" colspan="2">Not missing ECG (n=100)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr><tr><td align="left" valign="bottom"/><td align="left" valign="bottom">Mean/n</td><td align="left" valign="bottom">SD/%</td><td align="left" valign="bottom">Mean/n</td><td align="left" valign="bottom">SD/%</td><td align="left" valign="bottom">Mean/n</td><td align="left" valign="bottom">SD/%</td><td align="left" valign="bottom"/></tr></thead><tbody><tr><td align="left" valign="top">Age at consent (mean)</td><td align="left" valign="top">15.86</td><td align="left" valign="top">1.51</td><td align="left" valign="top">16.11</td><td align="left" valign="top">1.68</td><td align="left" valign="top">15.81</td><td align="left" valign="top">1.48</td><td align="left" valign="top">.40</td></tr><tr><td align="left" valign="top">Sex at Birth</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.39</td></tr><tr><td align="left" valign="top">&#x2003;Male</td><td align="left" valign="top">26</td><td align="left" valign="top">21.5</td><td align="left" valign="top">6</td><td align="left" valign="top">28.6</td><td align="left" valign="top">20</td><td align="left" valign="top">20.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">95</td><td align="left" valign="top">78.5</td><td align="left" valign="top">15</td><td align="left" valign="top">71.4</td><td align="left" valign="top">80</td><td align="left" valign="top">80.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Ethnicity</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Non-Hispanic/LatinX</td><td align="left" valign="top">114</td><td align="left" valign="top">94.2</td><td align="left" valign="top">21</td><td align="left" valign="top">100.0</td><td align="left" valign="top">93</td><td align="left" valign="top">93.0</td><td align="left" valign="top">.21</td></tr><tr><td align="left" valign="top">&#x2003;Hispanic/LatinX</td><td align="left" valign="top">7</td><td align="left" valign="top">5.8</td><td align="left" valign="top">0</td><td align="left" valign="top">0.0</td><td align="left" valign="top">7</td><td align="left" valign="top">7.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Race</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Asian</td><td align="left" valign="top">4</td><td align="left" valign="top">3.3</td><td align="left" valign="top">1</td><td align="left" valign="top">4.8</td><td align="left" valign="top">3</td><td align="left" valign="top">3.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Black</td><td align="left" valign="top">5</td><td align="left" valign="top">4.1</td><td align="left" valign="top">3</td><td align="left" valign="top">14.3</td><td align="left" valign="top">2</td><td align="left" valign="top">2.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Multiracial</td><td align="left" valign="top">7</td><td align="left" valign="top">5.8</td><td align="left" valign="top">2</td><td align="left" valign="top">9.5</td><td align="left" valign="top">5</td><td align="left" valign="top">5.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;White</td><td align="left" valign="top">105</td><td align="left" valign="top">86.8</td><td align="left" valign="top">15</td><td align="left" valign="top">71.4</td><td align="left" valign="top">90</td><td align="left" valign="top">90.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Socioeconomic status (mean)</td><td align="left" valign="top">48.84</td><td align="left" valign="top">13.58</td><td align="left" valign="top">43.62</td><td align="left" valign="top">13.19</td><td align="left" valign="top">49.94</td><td align="left" valign="top">13.47</td><td align="left" valign="top">.05</td></tr><tr><td align="left" valign="top">Age at depression onset (mean)</td><td align="left" valign="top">12.35</td><td align="left" valign="top">2.04</td><td align="left" valign="top">12.35</td><td align="left" valign="top">2.01</td><td align="left" valign="top">12.35</td><td align="left" valign="top">2.06</td><td align="left" valign="top">.99</td></tr><tr><td align="left" valign="top">Highest level of suicidal ideation (SI) in the past month at study enrollment (C-SSRS)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.20<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;No SI</td><td align="left" valign="top">9</td><td align="left" valign="top">7.4</td><td align="left" valign="top">1</td><td align="left" valign="top">4.8</td><td align="left" valign="top">8</td><td align="left" valign="top">8.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Wish to be dead</td><td align="left" valign="top">16</td><td align="left" valign="top">13.2</td><td align="left" valign="top">5</td><td align="left" valign="top">23.8</td><td align="left" valign="top">11</td><td align="left" valign="top">11.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Active SI</td><td align="left" valign="top">36</td><td align="left" valign="top">29.8</td><td align="left" valign="top">10</td><td align="left" valign="top">47.6</td><td align="left" valign="top">26</td><td align="left" valign="top">26.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Active SI with methods</td><td align="left" valign="top">16</td><td align="left" valign="top">13.2</td><td align="left" valign="top">1</td><td align="left" valign="top">4.8</td><td align="left" valign="top">15</td><td align="left" valign="top">15.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Active SI with some intent</td><td align="left" valign="top">29</td><td align="left" valign="top">24.0</td><td align="left" valign="top">4</td><td align="left" valign="top">19.0</td><td align="left" valign="top">25</td><td align="left" valign="top">25.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Active SI with plan</td><td align="left" valign="top">14</td><td align="left" valign="top">11.6</td><td align="left" valign="top">0</td><td align="left" valign="top">0.0</td><td align="left" valign="top">14</td><td align="left" valign="top">14.0</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">C-SSRS Lifetime suicide attempt</td><td align="left" valign="top">67</td><td align="left" valign="top">55.4</td><td align="left" valign="top">12</td><td align="left" valign="top">57.1</td><td align="left" valign="top">55</td><td align="left" valign="top">55.0</td><td align="left" valign="top">.89</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>C-SSRS: Columbia Suicide Severity Rating Scale [<xref ref-type="bibr" rid="ref10">10</xref>].</p></fn><fn id="table1fn2"><p><sup>b</sup>Groups were collapsed into White and non-White due to some cells having expected counts less than 5.</p></fn><fn id="table1fn3"><p><sup>c</sup>Groups were collapsed into low (no SI, wish to be dead), medium (active SI, active SI with methods), and high (active SI with some intent, active SI with plan) due to some cells having expected counts less than 5.</p></fn><fn id="table1fn4"><p><sup>d</sup>ECG: electrocardiogram.</p></fn></table-wrap-foot></table-wrap><p>Overall feasibility benchmarks were met or exceeded (see <xref ref-type="table" rid="table2">Table 2</xref>). Participants wore the ECG sensor an average of 14.86 days (SD 7.25) and for 76.21% of the intended minutes (SD 21.01). When worn, valid HRV data was obtained 81.42% of the time (SD 17.33). There were no significant differences in compliance or data quality based on demographic or clinical characteristics (all <italic>P</italic>s&#x2265;.14).</p><p>Mixed-effects models indicated that compliance and data quality declined over time (compliance: <italic>B</italic>=&#x2212;0.017, SE=0.002; data quality: <italic>B</italic>=&#x2212;0.015, SE=0.002; both <italic>P</italic>s&#x003C;.001) and were higher during sleep than wake (compliance: <italic>B</italic>=0.062, SE=0.007; data quality: <italic>B</italic>=0.094, SE=0.006; both <italic>P</italic>s&#x003C;.001). There were no significant differences by school attendance (<italic>P</italic>s&#x2265;.48).</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Descriptive statistics for ECG compliance and data quality (overall and by sleep/wake and school attendance).</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Descriptive statistics</td><td align="left" valign="bottom" colspan="2">Compliance<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> (%)</td><td align="left" valign="bottom" colspan="2">Data quality<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup> (%)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Mean</td><td align="left" valign="top">SD</td><td align="left" valign="top">Mean</td><td align="left" valign="top">SD</td></tr></thead><tbody><tr><td align="left" valign="top">Overall</td><td align="left" valign="top">76.21</td><td align="left" valign="top">21.01</td><td align="left" valign="top">81.42</td><td align="left" valign="top">17.33</td></tr><tr><td align="left" valign="top">Sleep periods</td><td align="left" valign="top">84.36</td><td align="left" valign="top">36.32</td><td align="left" valign="top">89.46</td><td align="left" valign="top">30.71</td></tr><tr><td align="left" valign="top">Wake periods</td><td align="left" valign="top">77.20</td><td align="left" valign="top">41.96</td><td align="left" valign="top">81.11</td><td align="left" valign="top">39.14</td></tr><tr><td align="left" valign="top">School attendance (% of days)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Not a school day (48.4%)</td><td align="left" valign="top">80.03</td><td align="left" valign="top">31.57</td><td align="left" valign="top">79.48</td><td align="left" valign="top">27.57</td></tr><tr><td align="left" valign="top">&#x2003;Did not attend school (12.3%)</td><td align="left" valign="top">78.48</td><td align="left" valign="top">32.74</td><td align="left" valign="top">79.60</td><td align="left" valign="top">28.88</td></tr><tr><td align="left" valign="top">&#x2003;Attended school in person (35%)</td><td align="left" valign="top">82.85</td><td align="left" valign="top">29.38</td><td align="left" valign="top">80.64</td><td align="left" valign="top">26.01</td></tr><tr><td align="left" valign="top">&#x2003;Attended school virtually/online (4.4%)</td><td align="left" valign="top">84.28</td><td align="left" valign="top">24.97</td><td align="left" valign="top">91.30</td><td align="left" valign="top">14.64</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>Compliance: sensor wear, defined as % of intended minutes the electrocardiogram sensor was worn.</p></fn><fn id="table2fn2"><p><sup>b</sup>Data Quality: % of worn minutes with valid heart rate variability data.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>Continuous chest-worn ECG monitoring of HF-HRV was feasible in adolescents receiving intensive outpatient treatment for depression and suicidality, producing high data yield across monitoring periods up to three weeks. Feasibility was particularly strong during sleep, consistent with reduced movement and improved electrode contact. Compliance and data quality remained high during school days, suggesting integration of chest-worn monitoring into adolescents&#x2019; daily routines is achievable. Declines in feasibility over time likely reflect wear fatigue and chest strap degradation, suggesting an optimal monitoring window of approximately two weeks. Integration with real-time compliance and data quality monitoring (eg, Bluetooth-linked apps) may further improve compliance and data yield.</p><p>Ambulatory HF-HRV monitoring via chest-worn ECG is feasible in adolescents at high suicide risk. Potential demographic differences in monitoring participation warrant replication in larger, more diverse adolescent samples. Future studies should also examine feasibility in broader adolescent psychiatric populations and evaluate whether HF-HRV functions as a dynamic marker of short-term suicide risk.</p></sec></body><back><notes><sec><title>Funding</title><p>This research was supported, in part, by grants from the National Institute of Mental Health (R01 MH124907; R01 MH115922; R01 MH118312). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.</p></sec><sec><title>Data Availability</title><p>This study is not preregistered. We are unable to share data on publicly available data repositories, as participants in this study only consented for data sharing via the NIMH Data Archive (NDA). Study data will be available in the NDA when data collection has been completed. Deidentified data used to produce these results can be made available directly from the corresponding author upon request with the establishment of a data use agreement.</p></sec></notes><fn-group><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ECG</term><def><p>electrocardiogram</p></def></def-item><def-item><term id="abb2">HF-HRV</term><def><p>high-frequency heart rate variability</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kivel&#x00E4;</surname><given-names>L</given-names> </name><name name-style="western"><surname>van der Does</surname><given-names>WAJ</given-names> </name><name name-style="western"><surname>Riese</surname><given-names>H</given-names> </name><name 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