Master of Science / Department of Computing and Information Sciences / Gurdip Singh / The Patient Monitoring System is a wireless sensor network application used for dynamically
tracking a patient’s physical activity using 3D Accelerometer Sensors in the Sun Small
Programmable Object Technology (SPOT) platform. The system is able to detect different
postures of a person and recognize high-level actions performed by a patient by monitoring
different pattern of postures. This activity can be monitored remotely from a nurse station or a
handheld device. The monitoring system can be used for alerting the nurse station in a hospital, if
a patient performs some abnormal action.
In the proposed system, the Sun SPOTs are affixed on a person's chest, thigh, leg and arm. The
application determines the posture of a person by sensing the acceleration and tilt values of the
SPOT in the direction of X, Y and Z axis. Based on these values the application can determine
the postures of a person such as Lying Down, Sitting, Standing, Walking, Bending, and Arm
Moving. We provide user mechanisms to define high level actions such as “attempting to get up
from Lying Down position”, in terms of patterns of lower-level posture sequences. The system
detects these patterns from the posture sequences reported by the Sun SPOTs, and reports them
at desired locations.
| Identifer | oai:union.ndltd.org:KSU/oai:krex.k-state.edu:2097/4132 |
| Date | January 1900 |
| Creators | Kallem, Devi Shravanthi |
| Publisher | Kansas State University |
| Source Sets | K-State Research Exchange |
| Language | en_US |
| Detected Language | English |
| Type | Report |
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