Sensing human physiological motion using millimeter wave radar.
| dc.contributor.advisor | Li, Yang, 1982- | |
| dc.creator | Bresnahan, Drew G., 1994- | |
| dc.creator.orcid | 0000-0003-3154-162X | |
| dc.date.accessioned | 2022-06-03T13:16:11Z | |
| dc.date.available | 2022-06-03T13:16:11Z | |
| dc.date.created | 2022-05 | |
| dc.date.issued | 2022-03-28 | |
| dc.date.submitted | May 2022 | |
| dc.date.updated | 2022-06-03T13:16:12Z | |
| dc.description.abstract | For the past 100 years, radio detection and ranging technology, or radar, has been developed to detect the presence and motion of a wide array of objects, vehicles, and living beings. With the advent of small-scale, portable, affordable radar sensors, biological radar sensing has opened a new field of opportunity for healthcare applications such as vital signs detection, fall detection, and gait analysis. Telehealth technology is becoming a popular method to replace in-person office consultations for simple medical visits, reducing costs significantly. However, telehealth communication currently lacks the sensors required to provide the clinician a direct line of information about the patient’s physical condition. Radar can measure a variety of physiological motions for basic health checkups and become another diagnostic tool in the doctor’s arsenal. Furthermore, radar can act as a preventive safety device by detecting human drowsiness or distraction. This dissertation details the procedures and analysis of employing a single millimeter-wave radar unit to measure human vital signs, head movements, deep tendon reflex motion, and hip movements. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/2104/11933 | |
| dc.language.iso | en | |
| dc.rights.accessrights | No access – contact librarywebmaster@baylor.edu | |
| dc.subject | Radar. Human motion. Millimeter wave. Drivers. Head motions. Reflexes. Vital signs. Hip motions. Deep learning. Neural networks. Spectrograms. | |
| dc.title | Sensing human physiological motion using millimeter wave radar. | |
| dc.type | Thesis | |
| dc.type.material | text | |
| local.embargo.lift | 2024-05-01 | |
| local.embargo.terms | 2024-05-01 | |
| thesis.degree.department | Baylor University. Dept. of Electrical & Computer Engineering. | |
| thesis.degree.grantor | Baylor University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Ph.D. |
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