Research
Corticobasal syndrome
Validating the use of wearable sensors and digital health technologies to measure and track motor, speech and cognitive function in patients with corticobasal syndrome.
Corticobasal syndrome (CBS) is a rare and progressive neurodegenerative disorder that affects movement and cognition. CBS is characterized by a combination of motor, cognitive, and behavioral symptoms, which can vary widely among individuals. The exact cause of corticobasal syndrome is not well understood, and there is no cure for it.
Our research in CBS - supported by $2.9M of funding from the Association of Frontotemporal Dementia, ALS Association and DoD CDMPR - is focused on using digital health technologies to monitor motor, speech and cognitive functions, and also establishing the clinical validity of wearable sensors for tracking lower and upper extremity dysfunction in CBS over time.
Our clinical study in CBS
BioDigit CBS
Status: Not yet recruiting
Number of participants: 10
Monitoring period: 12 months
Study product: BioDigit FTLD, PAMSys
BioDigit CBS2
Status: Not yet recruiting
Number of participants: 30
Monitoring period: 24 months
Study product: BioDigit FTLD, PAMSys, PAMSys ULM
BioDigit FTLD solution
BioDigit FTLD is a multi-modal digital health technology designed for objective, precise and frequent monitoring of symptoms in frontotemporal lobar degeneration (FTLD) syndromes. Developed in collaboration with FTLD experts and incorporating patient feedback, this technology aims to enhance disease evaluation and management.
BioDigit FTLD incorporates several BioSensics products to provide comprehensive monitoring of symptoms related to different FTLD syndromes using a single digital health solution:
FTLD-related clinical questionnaires, including PSP-QoL and CBFS.
BioDigit Speech for frequent assessment of speech dysfunction and dysarthria
Digital cognitive and fine motor controls assessments for frequent at-home measurements
PAMSys and PAMSys Fall wearable sensors for precision actigraphy and measuring fall frequencies.
LEGSys for remote at-home monitoring of gait.
Our research partners
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