A Touch Enabled Hemodynamic and Metabolic Monitor
Source abstract
Abstract
Abstract Accurate health analysis demands real‐time tracking of multiple biomarkers and vital signs under dynamic physiological conditions. Current multimodal hybrid platforms provide biochemical and biophysical data but are limited by active sweat collection for biochemical sensing and bulky designs for biophysical sensing. Here a touch‐enabled platform is presented that simultaneously monitors vitals and metabolic markers. With a simple tri‐finger touch, the platform measures mean arterial pressure and heart rate using photoplethysmography, and glucose, uric acid, and cortisol at rest by leveraging the natural perspiration at the fingertip. Extended studies involving diverse activities reveal strong dynamic interplay among the metabolic and vital profiles, with mean arterial pressure showing the highest sensitivity to cortisol fluctuations. The platform delivers comprehensive health information linking diet, lifestyle, metabolism, and serves as an early metabolic or hormonal stress indicator. Valuable insights gained through the platform position it as a promising tool for personalized health and wellness management.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Non-Invasive Vital Sign Monitoring · Cardiovascular and exercise physiology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Aiiso Yufeng Li Family Department of Chemical and Nanoengineering University of California San Diego La Jolla CA 92093 USA
Shu Chien‐Gene Lay Department of Bioengineering University of California San Diego La Jolla CA 92093 USA
Department of Mechanical and Aerospace Engineering University of California San Diego La Jolla CA 92093 USA
Department of Electrical and Computer Engineering University of California San Diego La Jolla CA 92092 USA
References (78)
Show source-provided references
1. 10.1038/s41928-024-01247-410.1038/s41928-024-01247-4 ↗
2. 10.1038/s41928-023-01116-610.1038/s41928-023-01116-6 ↗
3. 10.1038/s41551-021-00685-110.1038/s41551-021-00685-1 ↗
4. 10.1038/ncomms1165010.1038/ncomms11650 ↗
5. 10.1002/adfm.20180575410.1002/adfm.201805754 ↗
6. 10.1001/jama.2014.1381110.1001/jama.2014.13811 ↗
7. 10.1111/j.1751-7176.2010.00386.x10.1111/j.1751-7176.2010.00386.x ↗
8. 10.1016/j.nanoen.2023.10922710.1016/j.nanoen.2023.109227 ↗
9. 10.1038/s41591-023-02391-810.1038/s41591-023-02391-8 ↗
10. 10.1038/s42256-023-00760-z10.1038/s42256-023-00760-z ↗
11. 10.1038/s41528-023-00261-410.1038/s41528-023-00261-4 ↗
12. 10.1161/JAHA.122.02929710.1161/JAHA.122.029297 ↗
13. Min S. · Adv. Mater. · 2023 · 35 · 1
14. 10.1161/01.HYP.38.3.70510.1161/01.HYP.38.3.705 ↗
15. 10.1109/JSEN.2021.313489010.1109/JSEN.2021.3134890 ↗
16. 10.1038/s41598-023-34431-110.1038/s41598-023-34431-1 ↗
17. 10.1038/s41551-018-0287-x10.1038/s41551-018-0287-x ↗
18. 10.1038/s41551‐024‐01279‐310.1038/s41551‐024‐01279‐3 ↗
19. 10.3389/fmed.2017.0023110.3389/fmed.2017.00231 ↗
20. 10.1038/s41551-023-01098-y10.1038/s41551-023-01098-y ↗
21. Ghamari M. · Int. J. Biosens. Bioelectron. · 2018 · 4 · 195
22. 10.3390/electronics1213292310.3390/electronics12132923 ↗
23. 10.1002/advs.20240551810.1002/advs.202405518 ↗
24. 10.1038/s41551-022-00887-110.1038/s41551-022-00887-1 ↗
25. 10.1039/D3LC00874F10.1039/D3LC00874F ↗
26. 10.1038/s41551-022-00998-910.1038/s41551-022-00998-9 ↗
27. 10.1021/acs.chemrev.3c0007810.1021/acs.chemrev.3c00078 ↗
28. 10.1038/nature1652110.1038/nature16521 ↗
29. 10.1021/acs.chemrev.2c0082310.1021/acs.chemrev.2c00823 ↗
30. 10.1021/acs.analchem.1c0288710.1021/acs.analchem.1c02887 ↗
31. 10.1021/acssensors.3c0267710.1021/acssensors.3c02677 ↗
32. 10.1002/adma.20247028310.1002/adma.202470283 ↗
33. 10.1002/adma.20247025610.1002/adma.202470256 ↗
34. 10.1016/j.talanta.2022.12412210.1016/j.talanta.2022.124122 ↗
35. 10.1038/s41551-023-01095-110.1038/s41551-023-01095-1 ↗
36. 10.1038/s41928-024-01236-710.1038/s41928-024-01236-7 ↗
37. 10.1186/2046-7648-2-410.1186/2046-7648-2-4 ↗
38. 10.1038/s41467-021-22109-z10.1038/s41467-021-22109-z ↗
39. 10.1021/acssensors.1c0013910.1021/acssensors.1c00139 ↗
40. 10.1002/anie.20210667410.1002/anie.202106674 ↗
41. 10.1021/acssensors.2c0236910.1021/acssensors.2c02369 ↗
42. 10.1002/adma.20200846510.1002/adma.202008465 ↗
43. 10.1021/acssensors.9b0223310.1021/acssensors.9b02233 ↗
44. 10.1038/s41598-019-46611-z10.1038/s41598-019-46611-z ↗
45. 10.1093/nsr/nwae00610.1093/nsr/nwae006 ↗
46. 10.1016/j.bspc.2020.10187010.1016/j.bspc.2020.101870 ↗
47. 10.1007/978-3-030-24701-010.1007/978-3-030-24701-0 ↗
48. 10.1109/TBME.2021.305515410.1109/TBME.2021.3055154 ↗
49. 10.3390/s2018505210.3390/s20185052 ↗
50. K. L.Branan J. P.McMurray C.‐T.Hsiao G. L.Coté inOptical Diagnostics and Sensing XXIII: Toward Point‐of‐Care Diagnostics SPIE San Francisco California United States2023 p.14–30.10.1117/12.2648619 ↗
51. 10.1038/sdata.2018.7610.1038/sdata.2018.76 ↗
52. 10.1093/aje/kws29410.1093/aje/kws294 ↗
53. Podrug M. · J. Cardiovasc. Dev. Dis. · 2023 · 10 · 44
54. 10.3233/JAD-2012-12075710.3233/JAD-2012-120757 ↗
55. 10.1002/advs.20230760910.1002/advs.202307609 ↗
56. 10.1016/j.matt.2020.01.02110.1016/j.matt.2020.01.021 ↗
57. 10.1089/dia.2011.026210.1089/dia.2011.0262 ↗
58. 10.1038/s41587-019-0321-x10.1038/s41587-019-0321-x ↗
59. 10.1021/acssensors.9b0172710.1021/acssensors.9b01727 ↗
60. 10.1371/journal.pone.019481910.1371/journal.pone.0194819 ↗
61. Anoshirike C. · Curr. Dev. Nutr. · 2019 · 3
62. 10.1210/jc.2015-363510.1210/jc.2015-3635 ↗
63. 10.1111/jch.1245710.1111/jch.12457 ↗
64. 10.3945/ajcn.2010.2990510.3945/ajcn.2010.29905 ↗
65. 10.1161/HYPERTENSIONAHA.122.1795610.1161/HYPERTENSIONAHA.122.17956 ↗
66. 10.1253/circj.CJ-11-122210.1253/circj.CJ-11-1222 ↗
67. 10.1038/s41598-023-37672-210.1038/s41598-023-37672-2 ↗
68. 10.1007/s10311-011-0345-z10.1007/s10311-011-0345-z ↗
69. 10.1016/j.cej.2024.15022010.1016/j.cej.2024.150220 ↗
70. 10.1007/s11906-006-0005-z10.1007/s11906-006-0005-z ↗
71. 10.1016/S0753-3322(00)80065-710.1016/S0753-3322(00)80065-7 ↗
72. 10.1016/j.bios.2023.11560010.1016/j.bios.2023.115600 ↗
73. 10.1021/acsami.0c2273010.1021/acsami.0c22730 ↗
74. 10.1016/j.snb.2024.13638310.1016/j.snb.2024.136383 ↗
75. 10.1016/0039-128X(94)00033-910.1016/0039-128X(94)00033-9 ↗
76. 10.3945/ajcn.110.00615510.3945/ajcn.110.006155 ↗
77. 10.1097/01.psy.0000181270.20036.0610.1097/01.psy.0000181270.20036.06 ↗
78. 10.1002/btm2.1020110.1002/btm2.10201 ↗