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Here a wearable hyperspectral photoplethysmography (HS\u2010PPG) is reported for continuous and nonconscious BP monitoring. The HS\u2010PPG module integrates an ultrathin and high\u2010resolution double\u2010folded solid immersion grating microspectrometer (DFSIG\u2010\u00b5SPEC) with a white light LED. DFSIG\u2010\u00b5SPEC shows an average spectral resolution of 3.4\u00a0nm for 550\u2013800\u00a0nm in the operational range. The HS\u2010PPG module has a compact physical dimension of 8\u00a0mm \u00d7 16\u00a0mm \u00d7 24\u00a0mm, suitable for wrist\u2010wearable configuration. The PPG waveforms contain 50 spectral bands, achieving precise measurement of arteriolar pulse transit time (aPTT). The diastolic and systolic BPs are precisely estimated with R\u2010values of 0.92 and 0.96, and mean absolute differences (MAD) of 1.20 and 0.40\u00a0mmHg with the 2\u2010element Windkessel model, respectively. Further, the BP is continuously measured with heart rate (HR) and respiratory exchange ratio (RER) with exercise\u2010induced hypertension. Continuous monitoring of systolic blood pressure (SBP) exhibits immediate responses during hemodynamic changes, with the physiological parameters of SBP, HR, and RER during exercise and recovery. The wearable HS\u2010PPG clearly supports the strong potential for high\u2010fidelity continuous BP monitoring.<\/jats:p>","DOI":"10.1002\/advs.202417625","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T16:14:26Z","timestamp":1745597666000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Wearable Hyperspectral Photoplethysmography Allows Continuous Monitoring of Exercise\u2010Induced Hypertension"],"prefix":"10.1002","volume":"12","author":[{"given":"Jung\u2010Woo","family":"Park","sequence":"first","affiliation":[{"name":"Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South Korea"},{"name":"KAIST Institute for Health Science and Technology (KIHST) Korea Advanced Institute of Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South 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Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South Korea"},{"name":"KAIST Institute for Health Science and Technology (KIHST) Korea Advanced Institute of Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyung\u2010Soon","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Jeong","sequence":"additional","affiliation":[{"name":"Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST)  291 Daehak\u2010ro, Yuseong\u2010gu Daejeon 34141 South Korea"},{"name":"KAIST Institute for Health Science and Technology (KIHST) Korea Advanced Institute of Science and 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