| dc.contributor.author |
Pallavi, Priya |
|
| dc.contributor.author |
Ranjan, Shashi |
|
| dc.contributor.author |
Patel, Niravkumar |
|
| dc.contributor.author |
Kanetkar, Manasi |
|
| dc.contributor.author |
Lahiri, Uttama |
|
| dc.contributor.other |
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022) |
|
| dc.coverage.spatial |
Glasgow, United Kingdom |
|
| dc.date.accessioned |
2022-04-28T12:50:50Z |
|
| dc.date.available |
2022-04-28T12:50:50Z |
|
| dc.date.issued |
11-07-22 |
|
| dc.identifier.citation |
Pallavi, Priya; Ranjan, Shashi; Patel, Niravkumar; Kanetkar, Manasi and Lahiri, Uttama, "Smart wearable device for quantification of risk of fall: exploring role of gait phases and knee bending angle for parkinson's patients", in the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), Glasgow, UK, Jul. 11-15, 2022. |
en_US |
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/7693 |
|
| dc.description.statementofresponsibility |
by Priya Pallavi, Shashi Ranjan, Niravkumar Patel, Manasi Kanetkar and Uttama Lahiri |
|
| dc.language.iso |
en_US |
en_US |
| dc.title |
Smart wearable device for quantification of risk of fall: exploring role of gait phases and knee bending angle for parkinson's patients |
en_US |
| dc.type |
Conference Paper |
en_US |