BioSensics is a wearable technology company specializing in developing sensors and monitoring solutions for clinical research and healthcare applications. The company provides advanced wearable devices specifically designed for Parkinson's disease monitoring, clinical trials, and remote patient monitoring.
Founded with a mission to enable objective, continuous monitoring of movement disorders, BioSensics has established itself as a leading provider of medical-grade wearable sensors for neurological research and clinical care. The company's platform combines hardware sensors, sophisticated algorithms, and cloud-based data analytics to deliver quantifiable insights into patient movement and disease progression.
¶ Founding and Mission
BioSensics was founded with the recognition that traditional clinical assessment methods for movement disorders like Parkinson's disease relied heavily on subjective, episodic evaluations that occurred during brief clinic visits. The company's founders sought to create technology enabling:
- Continuous, objective monitoring of motor symptoms
- Quantitative measurement of disease progression
- Remote patient monitoring for telehealth applications
- Enhanced data collection for clinical trials
The company has evolved through several generations of wearable technology:
- First Generation (2010-2014): Research-grade sensors for academic studies
- Second Generation (2014-2018): Clinical-grade devices with regulatory clearances
- Third Generation (2018-Present): Integrated platform with AI-powered analytics
| Attribute |
Details |
| Headquarters |
United States |
| Founded |
Early 2010s |
| Focus |
Wearable sensors, Clinical research, Digital health |
| Key Markets |
Parkinson's disease, Multiple sclerosis, Clinical trials |
| Products |
Wearable sensors, Analytics platform, SDK |
BioSensics develops medical-grade wearable sensors designed for continuous monitoring:
The company's flagship product is a comprehensive Parkinson's disease monitoring system:
- Accelerometry: High-resolution tri-axial accelerometers for detecting tremor and measuring movement amplitude
- Gyroscopy: Three-axis gyroscopes for rotation and angular velocity measurement
- Magnetometry: Optional magnetometers for orientation tracking
- Form Factor: Wrist-worn, belt-mounted, and ankle-worn configurations
- Sampling Rate: 200-1000 Hz for high-fidelity signal capture
- Dynamic Range: ±16g (accelerometer), ±2000°/s (gyroscope)
- Battery Life: 7-14 days of continuous monitoring
- Memory: Local storage for 30+ days of continuous data
- Connectivity: Bluetooth Low Energy for real-time transmission
BioSensics sensors have been validated against:
- MDS-UPDRS clinical rating scales
- Timed movement tests (tapping, walking)
- Laboratory-based motion capture systems
The company's proprietary algorithms process raw sensor data to extract clinically relevant metrics:
- Resting tremor detection: Identification and quantification of resting tremor episodes
- Postural tremor analysis: Detection of tremor during maintained postures
- Kinetic tremor measurement: Quantification of action tremor during movement
- Tremor frequency analysis: Spectral analysis to characterize tremor frequency components
- Levodopa-induced dyskinesia: Identification of choreiform movements
- Pattern recognition: Machine learning classifiers trained on expert-labeled data
- Severity scoring: Quantification of dyskinesia intensity and duration
¶ Gait and Balance Assessment
- Gait cycle analysis: Step detection, stride length, swing time
- Balance metrics: Postural sway measurement, fall detection
- Freezing of gait: Detection of episodic gait blocks
- Turn-to-turn analysis: Quantification of turning quality
- Movement speed: Average velocity during finger tapping, hand movements
- Movement amplitude: Range of motion during motor tasks
- Movement rhythm: Inter-tap interval variability
BioSensics provides a comprehensive software platform:
- Real-time data processing: Automated analysis as data is collected
- Dashboards: Clinician-facing interfaces for patient monitoring
- Reports: Automated generation of clinical reports
- Alerts: Notification systems for significant changes in symptoms
- API access: For integration with EHR systems
- FHIR support: Healthcare interoperability standards
- Third-party integration: SDK for custom integrations
BioSensics technology supports comprehensive PD management:
- Motor fluctuations: Tracking of ON/OFF time throughout the day
- Dyskinesia monitoring: Quantification of involuntary movements
- Tremor tracking: Continuous assessment of tremor characteristics
- Gait quality: Ongoing measurement of walking performance
- Medication optimization: Data-driven adjustments to treatment regimens
- Deep brain stimulation programming: Objective measures for DBS parameter tuning
- Clinical visit preparation: Summary reports for clinic visits
- Telehealth integration: Remote data collection for virtual visits
- Home-based monitoring: Continuous assessment between clinic visits
- Caregiver support: Tools for family members to track patient status
BioSensics provides endpoints for clinical trials:
- Digital biomarkers: Quantifiable measures derived from wearable data
- Continuous endpoints: Measures throughout the trial period vs. episodic clinical assessments
- Remote data collection: Reducing the need for clinic visits
- Sensor provision: Supplying devices for trial participants
- Data management: Centralized data collection and processing
- Regulatory support: Documentation for regulatory submissions
- Validation studies: Correlation with clinical rating scales
While focused on PD, BioSensics technology applies to other conditions:
- Gait and balance assessment
- Fatigue monitoring through activity analysis
- Treatment response tracking
- Chorea quantification
- Motor symptom progression monitoring
- Gait analysis for cerebellar ataxias
- Coordination assessment
- Tremor characterization
- Treatment response monitoring
- 510(k) clearances: Multiple device clearances for vital signs monitoring
- De novo pathway: Some PD-specific algorithms under de novo review
- Clinical decision support: FDA-cleared algorithms for symptom detection
- CE Mark: Medical device certification under MDR
- Class IIa: Regulatory clearance for clinical monitoring devices
- Health Canada: Medical device license
- PMDA (Japan): Regulatory approval process ongoing
BioSensics has demonstrated clinical validity through numerous peer-reviewed publications:
- Correlation studies between wearable metrics and MDS-UPDRS scores
- Validation in diverse PD populations
- Comparison with gold-standard laboratory assessments
- Multi-site validation studies
- Prospective clinical trials
- Real-world evidence collection
¶ Competitive Landscape
BioSensics competes in the digital health wearables space:
- Verily Life Sciences: Google-owned health monitoring platform
- Rune Labs: Parkinson's disease monitoring platform
- Great Lakes Neurotechnologies: Movement disorder monitoring
- KinetiWatch: Clinical-grade wearable sensors
- Consumer wearables: Apple Watch, Fitbit (limited clinical utility)
- Research systems: XSENS, MVN (research-grade only)
- Clinical validation: Extensive peer-reviewed evidence
- Regulatory clearance: FDA/CE cleared for clinical use
- Focus on PD: Deep expertise in movement disorders
- End-to-end platform: Hardware, software, and analytics
BioSensics has established various partnerships:
- Parkinson's disease clinical trials
- Drug development programs
- Real-world evidence generation
- Research collaborations
- Clinical validation studies
- Algorithm development partnerships
- Co-development agreements
- Distribution partnerships
- Integration with other medical devices
- Remote patient monitoring programs
- Telehealth integration
- Value-based care initiatives
| Feature |
BioSensics PD Monitor |
Consumer Wearables |
Research Systems |
| Clinical Validation |
Yes |
Limited |
Variable |
| FDA Clearance |
Yes |
No |
No |
| Medical Grade |
Yes |
No |
Sometimes |
| Algorithm Accuracy |
High |
Low |
High |
| Continuous Monitoring |
Yes |
Limited |
No |
| Integration |
EHR/EMR |
Limited |
Research |
BioSensics continues to develop:
- AI-powered prediction: Machine learning for predicting OFF periods
- Multi-modal sensing: Integration of additional sensor modalities
- Personalized algorithms: Individual-specific baseline and anomaly detection
- Alzheimer's disease: Monitoring of gait and activity patterns
- Pediatric applications: Developmental movement assessment
- Rehabilitation: Movement quality monitoring during therapy