Abstract
Microprocessors, even those in PocketPCs, have adequate power for many real-time biofeedback applications for disabled people. This power allows design of portable or wearable devices that are smaller and lighter, and that have longer battery life compared to notebook-based systems. In this paper, we discuss a general-purpose hardware/software solution based on industrial or consumer devices and a C++ framework. Its flexibility and modularity make it adaptable to a wide range of situations. Moreover, its design minimizes system requirements and programming effort, thus allowing efficient systems to be built quickly and easily. Our design has been used to build two brain computer interface systems that were easily ported from the Win32 platform.
| Original language | English |
|---|---|
| Pages (from-to) | 117-119 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2003 |
Fingerprint
Keywords
- Augmentative communication
- Biofeedback (BF)
- Biofeedback in C++ (BF++)
- Brain-computer interface (BCI)
- Wearable devices
ASJC Scopus subject areas
- Rehabilitation
- Biophysics
- Bioengineering
- Health Professions(all)
Cite this
Developing wearable bio-feedback systems : A general-purpose platform. / Bianchi, Luigi; Babiloni, Fabio; Cincotti, Febo; Arrivas, Marco; Bollero, Patrizio; Marciani, Maria Grazia.
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 11, No. 2, 06.2003, p. 117-119.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Developing wearable bio-feedback systems
T2 - A general-purpose platform
AU - Bianchi, Luigi
AU - Babiloni, Fabio
AU - Cincotti, Febo
AU - Arrivas, Marco
AU - Bollero, Patrizio
AU - Marciani, Maria Grazia
PY - 2003/6
Y1 - 2003/6
N2 - Microprocessors, even those in PocketPCs, have adequate power for many real-time biofeedback applications for disabled people. This power allows design of portable or wearable devices that are smaller and lighter, and that have longer battery life compared to notebook-based systems. In this paper, we discuss a general-purpose hardware/software solution based on industrial or consumer devices and a C++ framework. Its flexibility and modularity make it adaptable to a wide range of situations. Moreover, its design minimizes system requirements and programming effort, thus allowing efficient systems to be built quickly and easily. Our design has been used to build two brain computer interface systems that were easily ported from the Win32 platform.
AB - Microprocessors, even those in PocketPCs, have adequate power for many real-time biofeedback applications for disabled people. This power allows design of portable or wearable devices that are smaller and lighter, and that have longer battery life compared to notebook-based systems. In this paper, we discuss a general-purpose hardware/software solution based on industrial or consumer devices and a C++ framework. Its flexibility and modularity make it adaptable to a wide range of situations. Moreover, its design minimizes system requirements and programming effort, thus allowing efficient systems to be built quickly and easily. Our design has been used to build two brain computer interface systems that were easily ported from the Win32 platform.
KW - Augmentative communication
KW - Biofeedback (BF)
KW - Biofeedback in C++ (BF++)
KW - Brain-computer interface (BCI)
KW - Wearable devices
UR - http://www.scopus.com/inward/record.url?scp=0042354787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0042354787&partnerID=8YFLogxK
U2 - 10.1109/TNSRE.2003.814452
DO - 10.1109/TNSRE.2003.814452
M3 - Article
C2 - 12899250
AN - SCOPUS:0042354787
VL - 11
SP - 117
EP - 119
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
SN - 1534-4320
IS - 2
ER -