| dc.contributor |
Katabi, Dina |
|
| dc.contributor |
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
|
| dc.creator |
Zhang, Guo |
|
| dc.date |
2023-01-19T19:57:05Z |
|
| dc.date |
2023-01-19T19:57:05Z |
|
| dc.date |
2022-09 |
|
| dc.date |
2022-10-19T19:11:55.006Z |
|
| dc.date.accessioned |
2023-03-01T07:20:53Z |
|
| dc.date.available |
2023-03-01T07:20:53Z |
|
| dc.identifier |
https://hdl.handle.net/1721.1/147538 |
|
| dc.identifier |
https://orcid.org/0000-0003-2228-8175 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/275703 |
|
| dc.description |
Current health care is primarily in-clinic, episodic, and semi-empirical. With the development of intelligent devices such as smartphones, smartwatches, and more cutting-edge devices such as in-body devices and contactless in-home sensors, we are beginning to see a paradigm shift in health care. The new paradigm can be summarized under the framework of digital health: health care is becoming more embedded in daily life, using more continuously collected data, and making more data-driven decisions. We will discuss three of our research works about digital health in this thesis: the first one details our system for deep in-body communication and localization using a backscatter scheme, which solves the critical challenges of near-zero-power in-body continuous monitoring. The second one describes our work on digital biomarkers that are developed using passive measurement of in-home unscripted daily gait speed data by our contactless in-home sensors, which shows how this new method of daily continuously-collected health data has the potential to transform the way we assess Parkinson’s disease severity, motor fluctuation, and progression. The final work discusses the application of a wireless non-contact monitoring system for patients with COVID-19, which can be used to remotely monitor their acute and long-term physiological and behavioral symptoms. These three studies on continuous monitoring suggest innovative new directions for the future of digital health. |
|
| dc.description |
Ph.D. |
|
| dc.format |
application/pdf |
|
| dc.publisher |
Massachusetts Institute of Technology |
|
| dc.rights |
In Copyright - Educational Use Permitted |
|
| dc.rights |
Copyright MIT |
|
| dc.rights |
http://rightsstatements.org/page/InC-EDU/1.0/ |
|
| dc.title |
Passive Health Monitoring with RadioWaves —In Body and In Home |
|
| dc.type |
Thesis |
|